We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real world business problems. Recognize that cross functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch and learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. PIMCO is seeking a Senior Forward Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform. The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools - including LLM based assistants, agentic workflows, and internal AI platforms - across its investment teams. The Forward Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap. Responsibilities AI Deployment, Enablement & Adoption Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research. Deliver hands on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations. Embed with PM and Analytics teams to understand investment and research workflows, identify high value AI use cases, and build proofs of concept that demonstrate impact. Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team. Identify patterns across PM and Analytics teams to surface high impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support - Lane Assist / POET Provide first line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users. Diagnose, resolve, or escalate production issues, coordinating handoffs with US based engineering and support teams. Maintain runbooks, support documentation, and known issue logs to improve supportability and reduce time to resolution. Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently. Qualifications BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field. 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production quality code. Demonstrated experience deploying technology directly with end users in a forward deployed, solutions engineering, or customer/field engineering capacity. Excellent communication skills, with a proven ability to teach technical concepts to both technical and non technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good to have: experience with production support or SRE style operations, SQL/Snowflake, data pipelines, or web applications. Additional Skills Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office. High empathy for users and genuine enthusiasm for driving adoption and behavioral change. Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype. Comfortable balancing strategic enablement work with hands on operational support in a fast paced financial environment. Equal Employment Opportunity and Affermative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.
23/07/2026
Full time
We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real world business problems. Recognize that cross functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch and learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. PIMCO is seeking a Senior Forward Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform. The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools - including LLM based assistants, agentic workflows, and internal AI platforms - across its investment teams. The Forward Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap. Responsibilities AI Deployment, Enablement & Adoption Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research. Deliver hands on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations. Embed with PM and Analytics teams to understand investment and research workflows, identify high value AI use cases, and build proofs of concept that demonstrate impact. Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team. Identify patterns across PM and Analytics teams to surface high impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support - Lane Assist / POET Provide first line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users. Diagnose, resolve, or escalate production issues, coordinating handoffs with US based engineering and support teams. Maintain runbooks, support documentation, and known issue logs to improve supportability and reduce time to resolution. Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently. Qualifications BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field. 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production quality code. Demonstrated experience deploying technology directly with end users in a forward deployed, solutions engineering, or customer/field engineering capacity. Excellent communication skills, with a proven ability to teach technical concepts to both technical and non technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good to have: experience with production support or SRE style operations, SQL/Snowflake, data pipelines, or web applications. Additional Skills Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office. High empathy for users and genuine enthusiasm for driving adoption and behavioral change. Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype. Comfortable balancing strategic enablement work with hands on operational support in a fast paced financial environment. Equal Employment Opportunity and Affermative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.
About Us STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments. We are focused on delivering deployable, high-performance systems, not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe today. Your mission You will be the systems safety lead for a next-generation Unmanned Aerial System (UAS), driving a safety-by-design approach across the entire product lifecycle. This includes ensuring all mechanical, electrical, and software subsystems meet stringent safety requirements. As a Principal / Senior Systems Engineer, you will define the safety critical architecture and interfaces, manage safety integration and verification activities, and drive system safety validation through rigorous testing, hazard analysis, and compliance reporting. Responsibilities Serve as the system safety lead for UAS product development and upgrades, owning overall platform safety and coherency from concept through delivery. Work day-to-day within multidisciplinary teams (mechanical, electrical, avionics, software, test) across the full lifecycle of UAS design, integration, test and fielding. Conceptualise and capture system architecture for new platforms and enhancements, producing technical trade studies, safety critical sizing, and system performance assessments. Establish and execute the system safety program, including the development of Preliminary Hazard Analyses (PHA) and System/Subsystem Hazard Assessments (SHA/SSHA). Lead and coordinate Failure Mode and Effects Analysis (FMEA) and Design Failure Mode and Effects Analysis (DFMEA) activities across multidisciplinary teams. Produce layout and system design plans, define Interface Control Documents (ICDs) and enforce interface control processes for mechanical, electrical, and software subsystems. Establish and maintain requirements baselines, including safety requirements, and traceability using industry tools (e.g., IBM DOORS) and MBSE approaches. Implement robust change control processes to manage and assess the impact of all design changes on system safety and compliance. Act as the technical interface between internal teams, suppliers and customers to coordinate payload integration, unique/custom hardware or software interfaces, and ensure on time capability delivery. Manage tactical engineering tasks during development sprints and test campaigns, resolving cross discipline issues and maintaining configuration control. Qualifications Degree (or equivalent) in Systems, Aerospace, Electrical or a closely related Engineering discipline. Significant industry experience with demonstrable systems engineering and system safety responsibility on UAV/aerospace or equivalent complex, safety critical platforms. Strong practical experience integrating complex systems: power systems, RF/EMC, EO sensors, networking, flight controllers and payload interfaces. Proven track record in requirements capture, compliance analysis, and verification/validation activities; proficient with requirements management tools (IBM DOORS or similar). Demonstrable experience leading and executing safety analyses, including Hazard Assessments (PHA/SHA/SSHA) and FMEA/DFMEA. Familiarity with safety standards (e.g., ARP4754A, ARP4761, DO 178C, DO 254) and the principles of requirements and change control in a regulated environment. Familiarity with MBSE principles, interface control processes and configuration management in regulated environments. Excellent written and verbal communication skills; highly organised and detail oriented. Ability to operate effectively in fast moving, ambiguous environments and to travel within the UK/Europe for testing and integration. A genuine passion for system development, integration and testing and a collaborative, inclusive team approach. Security cleared or eligible to obtain UK defence clearance. Desirable Prior experience leading Systems Engineering and authoring safety assurance documentation and risk management artefacts. Experience integrating complex/custom payloads for partner or customer use (hardware, electrical and software interfaces). Background in start up or scale up environments where rapid prototyping, iterative testing and pragmatic engineering decisions are typical.
18/07/2026
Full time
About Us STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments. We are focused on delivering deployable, high-performance systems, not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe today. Your mission You will be the systems safety lead for a next-generation Unmanned Aerial System (UAS), driving a safety-by-design approach across the entire product lifecycle. This includes ensuring all mechanical, electrical, and software subsystems meet stringent safety requirements. As a Principal / Senior Systems Engineer, you will define the safety critical architecture and interfaces, manage safety integration and verification activities, and drive system safety validation through rigorous testing, hazard analysis, and compliance reporting. Responsibilities Serve as the system safety lead for UAS product development and upgrades, owning overall platform safety and coherency from concept through delivery. Work day-to-day within multidisciplinary teams (mechanical, electrical, avionics, software, test) across the full lifecycle of UAS design, integration, test and fielding. Conceptualise and capture system architecture for new platforms and enhancements, producing technical trade studies, safety critical sizing, and system performance assessments. Establish and execute the system safety program, including the development of Preliminary Hazard Analyses (PHA) and System/Subsystem Hazard Assessments (SHA/SSHA). Lead and coordinate Failure Mode and Effects Analysis (FMEA) and Design Failure Mode and Effects Analysis (DFMEA) activities across multidisciplinary teams. Produce layout and system design plans, define Interface Control Documents (ICDs) and enforce interface control processes for mechanical, electrical, and software subsystems. Establish and maintain requirements baselines, including safety requirements, and traceability using industry tools (e.g., IBM DOORS) and MBSE approaches. Implement robust change control processes to manage and assess the impact of all design changes on system safety and compliance. Act as the technical interface between internal teams, suppliers and customers to coordinate payload integration, unique/custom hardware or software interfaces, and ensure on time capability delivery. Manage tactical engineering tasks during development sprints and test campaigns, resolving cross discipline issues and maintaining configuration control. Qualifications Degree (or equivalent) in Systems, Aerospace, Electrical or a closely related Engineering discipline. Significant industry experience with demonstrable systems engineering and system safety responsibility on UAV/aerospace or equivalent complex, safety critical platforms. Strong practical experience integrating complex systems: power systems, RF/EMC, EO sensors, networking, flight controllers and payload interfaces. Proven track record in requirements capture, compliance analysis, and verification/validation activities; proficient with requirements management tools (IBM DOORS or similar). Demonstrable experience leading and executing safety analyses, including Hazard Assessments (PHA/SHA/SSHA) and FMEA/DFMEA. Familiarity with safety standards (e.g., ARP4754A, ARP4761, DO 178C, DO 254) and the principles of requirements and change control in a regulated environment. Familiarity with MBSE principles, interface control processes and configuration management in regulated environments. Excellent written and verbal communication skills; highly organised and detail oriented. Ability to operate effectively in fast moving, ambiguous environments and to travel within the UK/Europe for testing and integration. A genuine passion for system development, integration and testing and a collaborative, inclusive team approach. Security cleared or eligible to obtain UK defence clearance. Desirable Prior experience leading Systems Engineering and authoring safety assurance documentation and risk management artefacts. Experience integrating complex/custom payloads for partner or customer use (hardware, electrical and software interfaces). Background in start up or scale up environments where rapid prototyping, iterative testing and pragmatic engineering decisions are typical.
Technology LeadApplylocations: United Kingdom - Halifaxtime type: Full timeposted on: Posted 5 Days Agojob requisition id: R67621 Vencora Business Unit: Job Summary: This is a Technology Lead role responsible for the end-to-end development and quality assurance output within a P&L. You will provide technical direction and operational oversight across the Development and QA functions, championing the use of AI tooling to drive productivity, quality, and pace. While working closely with the broader team to ensure engineering delivery is aligned to product strategy and commercial priorities. Job Description: The Technology Lead - Adjacent Markets is a senior leadership role responsible for the end-to-end engineering and quality assurance (QA) output within the Adjacent Markets P&L. Reporting directly to the Director - Adjacent Markets, this role provides technical leadership and operational oversight across the Development and QA functions, ensuring that SSP's Adjacent Markets software is built to a high standard, delivered at pace, and continuously improved in line with the segment's product strategy.A defining feature of this role is the embedding of artificial intelligence across engineering and quality practices. The Technology Lead will champion the responsible and effective use of AI tooling - from AI-assisted development and automated testing to intelligent code review and predictive quality metrics - ensuring teams are equipped and empowered to leverage AI as a genuine productivity and quality multiplier.As a key member of the Adjacent Markets leadership team, you will work in close partnership with the Senior Operations Manager and the Director - Adjacent Markets to align engineering capacity and quality standards with the segment's product roadmap, commercial objectives, and customer commitments. You will also contribute to the segment's overall strategy and champion best practice. 1. Development Leadership Engineering Strategy & Execution Provide technical leadership and day-to-day management of the Development team, ensuring engineering output is aligned with the Adjacent Markets product roadmap and commercial priorities. Set and maintain engineering standards, coding practices, and architectural principles across the Development function. Own the development lifecycle from design through to release, ensuring quality, pace, and alignment with agreed timelines and budgets. Work in close partnership with the Senior Operations Manager to ensure engineering capacity is aligned to product roadmap commitments, and that risks and trade-offs are clearly communicated to stakeholders. Drive continuous improvement in build quality, release cadence, and time-to-market, embedding a culture of technical excellence across the team. Technical Governance Ensure appropriate architectural governance and technical review processes are in place for all development activity. Oversee the management of technical debt, proactively identifying and prioritising remediation to protect long-term product quality and maintainability. Ensure all development activity complies with SSP's security, data, and compliance standards. AI-Assisted Development Champion the use of AI tooling across the Development function to improve engineering productivity and code quality, including: adopting AI-assisted coding tools to accelerate development velocity; using AI-powered code review and static analysis tools to improve quality and reduce defect rates; evaluating and piloting emerging AI-driven development capabilities; and identifying opportunities to use AI to transform and modernise the Adjacent Markets product. 2. Quality Assurance Leadership QA Strategy & Standards Lead the QA function, defining and owning the quality assurance strategy for all Adjacent Markets software, ensuring it is robust, risk-based, and fit for purpose. Establish and maintain QA standards, testing frameworks, and defect management processes across the segment. Ensure test coverage is appropriate across all product releases, including regression, integration, performance, and user acceptance testing. Drive a shift-left quality culture, embedding testing and quality thinking earlier in the development lifecycle to reduce the cost and impact of defects. Test Automation Own the test automation strategy, ensuring the QA function progressively reduces reliance on manual testing through development and maintenance of a robust automated test suite. Set targets for automation coverage and track progress against plan, reporting to the Director - Adjacent Markets on a regular basis. AI in Quality Assurance Leverage AI to enhance the quality assurance function, including: using AI-powered test generation tools to expand automated test coverage efficiently; applying predictive analytics to identify high-risk areas of the codebase and prioritise testing effort; and exploring AI-assisted defect triage and root cause analysis to reduce resolution time and improve quality metrics. 3. Financial Performance Support the Director - Adjacent Markets in managing the Adjacent Markets technology cost base, with direct accountability for the operational costs of the Development and QA functions. Identify and implement cost savings through process efficiency, automation, AI-assisted development tooling, and cloud infrastructure optimisation. Monitor and contribute to the management of infrastructure and hosting costs, working with technology and Finance teams to identify opportunities for cloud efficiency and right-sizing. Provide regular financial reporting and analysis to the Director - Adjacent Markets, supporting decision-making and quarterly forecasting. 4. Talent Development & Culture People Leadership Act as a coach and trusted leader to engineers and QA professionals within the teams, strengthening technical capability and fostering a culture of accountability, craftsmanship, and continuous improvement. Partner with the Director - Adjacent Markets and Head of People & Culture to identify people priorities, build people plans, and implement team-wide initiatives. Build a learning culture by embedding development - including technical upskilling and AI literacy - into everyday workflows and performance processes. Employee Experience Champion inclusion, equity, and belonging across the Development and QA teams. Drive engagement and retention through active listening, meaningful feedback loops, and clear technical career pathways. Monitor team sentiment and translate insights into meaningful action. 5. AI as a Leadership Imperative Across all areas of this role, maintain a consistent and active focus on AI, both as a driver of engineering productivity and as a means of improving quality outcomes. This includes: staying current with AI developments relevant to software engineering and the insurance technology sector; actively sponsoring AI pilots and proofs of concept within the Development and QA teams; building AI literacy and capability within direct reports and wider team members; reporting on AI adoption progress and measurable impact; and holding direct reports accountable for embedding AI thinking into their own areas of responsibility. 6. General Responsibilities Represent SSP at key industry and technology events, with travel as required. Undertake any other reasonable duties as directed by the Director - Adjacent Markets.
15/07/2026
Full time
Technology LeadApplylocations: United Kingdom - Halifaxtime type: Full timeposted on: Posted 5 Days Agojob requisition id: R67621 Vencora Business Unit: Job Summary: This is a Technology Lead role responsible for the end-to-end development and quality assurance output within a P&L. You will provide technical direction and operational oversight across the Development and QA functions, championing the use of AI tooling to drive productivity, quality, and pace. While working closely with the broader team to ensure engineering delivery is aligned to product strategy and commercial priorities. Job Description: The Technology Lead - Adjacent Markets is a senior leadership role responsible for the end-to-end engineering and quality assurance (QA) output within the Adjacent Markets P&L. Reporting directly to the Director - Adjacent Markets, this role provides technical leadership and operational oversight across the Development and QA functions, ensuring that SSP's Adjacent Markets software is built to a high standard, delivered at pace, and continuously improved in line with the segment's product strategy.A defining feature of this role is the embedding of artificial intelligence across engineering and quality practices. The Technology Lead will champion the responsible and effective use of AI tooling - from AI-assisted development and automated testing to intelligent code review and predictive quality metrics - ensuring teams are equipped and empowered to leverage AI as a genuine productivity and quality multiplier.As a key member of the Adjacent Markets leadership team, you will work in close partnership with the Senior Operations Manager and the Director - Adjacent Markets to align engineering capacity and quality standards with the segment's product roadmap, commercial objectives, and customer commitments. You will also contribute to the segment's overall strategy and champion best practice. 1. Development Leadership Engineering Strategy & Execution Provide technical leadership and day-to-day management of the Development team, ensuring engineering output is aligned with the Adjacent Markets product roadmap and commercial priorities. Set and maintain engineering standards, coding practices, and architectural principles across the Development function. Own the development lifecycle from design through to release, ensuring quality, pace, and alignment with agreed timelines and budgets. Work in close partnership with the Senior Operations Manager to ensure engineering capacity is aligned to product roadmap commitments, and that risks and trade-offs are clearly communicated to stakeholders. Drive continuous improvement in build quality, release cadence, and time-to-market, embedding a culture of technical excellence across the team. Technical Governance Ensure appropriate architectural governance and technical review processes are in place for all development activity. Oversee the management of technical debt, proactively identifying and prioritising remediation to protect long-term product quality and maintainability. Ensure all development activity complies with SSP's security, data, and compliance standards. AI-Assisted Development Champion the use of AI tooling across the Development function to improve engineering productivity and code quality, including: adopting AI-assisted coding tools to accelerate development velocity; using AI-powered code review and static analysis tools to improve quality and reduce defect rates; evaluating and piloting emerging AI-driven development capabilities; and identifying opportunities to use AI to transform and modernise the Adjacent Markets product. 2. Quality Assurance Leadership QA Strategy & Standards Lead the QA function, defining and owning the quality assurance strategy for all Adjacent Markets software, ensuring it is robust, risk-based, and fit for purpose. Establish and maintain QA standards, testing frameworks, and defect management processes across the segment. Ensure test coverage is appropriate across all product releases, including regression, integration, performance, and user acceptance testing. Drive a shift-left quality culture, embedding testing and quality thinking earlier in the development lifecycle to reduce the cost and impact of defects. Test Automation Own the test automation strategy, ensuring the QA function progressively reduces reliance on manual testing through development and maintenance of a robust automated test suite. Set targets for automation coverage and track progress against plan, reporting to the Director - Adjacent Markets on a regular basis. AI in Quality Assurance Leverage AI to enhance the quality assurance function, including: using AI-powered test generation tools to expand automated test coverage efficiently; applying predictive analytics to identify high-risk areas of the codebase and prioritise testing effort; and exploring AI-assisted defect triage and root cause analysis to reduce resolution time and improve quality metrics. 3. Financial Performance Support the Director - Adjacent Markets in managing the Adjacent Markets technology cost base, with direct accountability for the operational costs of the Development and QA functions. Identify and implement cost savings through process efficiency, automation, AI-assisted development tooling, and cloud infrastructure optimisation. Monitor and contribute to the management of infrastructure and hosting costs, working with technology and Finance teams to identify opportunities for cloud efficiency and right-sizing. Provide regular financial reporting and analysis to the Director - Adjacent Markets, supporting decision-making and quarterly forecasting. 4. Talent Development & Culture People Leadership Act as a coach and trusted leader to engineers and QA professionals within the teams, strengthening technical capability and fostering a culture of accountability, craftsmanship, and continuous improvement. Partner with the Director - Adjacent Markets and Head of People & Culture to identify people priorities, build people plans, and implement team-wide initiatives. Build a learning culture by embedding development - including technical upskilling and AI literacy - into everyday workflows and performance processes. Employee Experience Champion inclusion, equity, and belonging across the Development and QA teams. Drive engagement and retention through active listening, meaningful feedback loops, and clear technical career pathways. Monitor team sentiment and translate insights into meaningful action. 5. AI as a Leadership Imperative Across all areas of this role, maintain a consistent and active focus on AI, both as a driver of engineering productivity and as a means of improving quality outcomes. This includes: staying current with AI developments relevant to software engineering and the insurance technology sector; actively sponsoring AI pilots and proofs of concept within the Development and QA teams; building AI literacy and capability within direct reports and wider team members; reporting on AI adoption progress and measurable impact; and holding direct reports accountable for embedding AI thinking into their own areas of responsibility. 6. General Responsibilities Represent SSP at key industry and technology events, with travel as required. Undertake any other reasonable duties as directed by the Director - Adjacent Markets.
Enterprise Architect -Virtualization Practice Area Enterprise Architecture -Virtualization & Private Cloud Reports To Manager, ES&A Location Remote / Client site as required Travel Up to 30%, dependent on engagement portfolio Role Summary World Wide Technology is looking for an Enterprise Architect who lives and breathes virtualization and private cloud platforms -someone equally fluent architecting a VMware vSphere/NSX estate and a Red Hat OpenShift or OpenStack platform, and who can lead clients through the platform decisions reshaping this space, including VMware-to-Kubernetes migration. This role owns technical delivery for virtualization and private cloud engagements end to end: architecture and low-level design, build oversight, migration execution, and operational handover. The candidate will be the final technical authority on virtualization platform decisions for their engagements, while mentoring the wider delivery team. Given how tightly virtualization now intersects with containers, storage, networking, and even AI infrastructure, strong adjacent technical breadth is a real advantage for this role, even though platform depth in VMware and Red Hat remains the core requirement. Key Responsibilities Own end-to-end technical delivery of virtualization and private cloud engagements: architecture definition, low-level design, build/migration oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for virtualization engagements, owning governance gates, decision records, and design sign-off. Architect and validate VMware environments: vSphere/ESXi cluster design, vCenter, vSAN, NSX-T/NSX-V network virtualization, and VMware Cloud Foundation (VCF) deployments. Architect Red Hat platforms: OpenShift Container Platform (OCP) design and installation (IPI/UPI), OpenShift Virtualization (KubeVirt) for VM-to-container consolidation, and Red Hat OpenStack Platform (RHOSP) design and deployment. Lead VMware-to-Kubernetes and VM-to-container migration strategy engagements, including workload assessment, sequencing, and risk mitigation -particularly relevant given ongoing VMware/Broadcom licensing changes driving client re-evaluation. Design software-defined storage and networking as applied to virtualization platforms: vSAN, Ceph/OpenShift Data Foundation (ODF), and NSX. Define disaster recovery and business continuity architectures for virtualized estates, including Site Recovery Manager and equivalent DR orchestration. Lead technical design workshops, present architecture options and trade-offs to infrastructure leadership, and own resulting low-level design documentation. Champion infrastructure-as-code and automation (Ansible, Terraform, GitOps/ArgoCD) to reduce manual platform operations. Mentor other virtualization and platform engineers, and contribute to WWT's private cloud reference architectures. Define migrations strategies Required Technical Skills & Experience Experience Baseline 8-10+ years in virtualization, private cloud, or infrastructure architecture roles. Demonstrated ownership of technical delivery for enterprise-scale virtualization or private cloud transformation programmes. Direct hands on experience with VMware-to-Kubernetes or VM-to-container migration engagements strongly preferred. VMware Platform (Expert Level) Core platform: vSphere/ESXi cluster design, vCenter architecture, resource pools, DRS/HA tuning. Storage: vSAN design and sizing, stretched clusters, storage policy based management. Networking: NSX T/NSX V network virtualization, micro segmentation, and distributed firewall design. Platform: VMware Cloud Foundation (VCF) deployment and lifecycle management. DR & VDI: Site Recovery Manager design; Horizon VDI architecture is a plus. OpenShift: OpenShift Container Platform (OCP) architecture and installation (IPI/UPI), cluster networking (SDN/OVN Kubernetes), and multi cluster design. OpenShift Virtualization: KubeVirt based VM to container consolidation strategy and implementation. OpenStack: Red Hat OpenStack Platform (RHOSP) architecture, deployment, and lifecycle operations. Automation: Red Hat Satellite and Ansible Automation Platform for lifecycle and configuration management. Containers & Cloud Native Fundamentals Kubernetes architecture fundamentals: control plane design, networking (CNI, Multus, SR IOV), and storage (CSI, ODF/Ceph). Operator framework familiarity and experience packaging or consuming Kubernetes operators. Software defined storage: Ceph/OpenShift Data Foundation design and sizing for both block and object workloads. Hands on experience with private/hybrid cloud design principles: capacity planning, workload placement, and migration methodology (P2V/V2V, VM to container). Disaster recovery and business continuity architecture for virtualized and containerized environments. Fluency in VMware/Broadcom and Red Hat subscription/licensing models sufficient to advise clients on cost and platform strategy. Automation & Delivery Infrastructure as code proficiency: Ansible and Terraform for platform provisioning. GitOps experience (ArgoCD or equivalent) for OpenShift/Kubernetes application and platform delivery. Strong client facing design and delivery leadership skills; ability to run technical workshops and own low level design documentation to a professional services standard. Architecture Governance & Design Authority Proven experience hosting and chairing formal Architecture Review Board (ARB) and Technical Design Authority (TDA) forums, including agenda ownership, decision logging, and stakeholder facilitation. Ability to define and operate governance gates across the engagement lifecycle: design authority sign off, change control, and exception/waiver management for virtualization and private cloud decisions. Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance. Comfortable presenting and defending architecture decisions to senior client governance bodies, including constructively challenging non compliant or high risk designs. Certifications VMware Certified Professional - Data Center Virtualization (VCP DCV) required; VMware Certified Advanced Professional (VCAP) strongly preferred. Red Hat Certified Specialist in OpenShift Administration required; Red Hat Certified Architect (RHCA) strongly preferred. Red Hat Certified Specialist in OpenStack Administration -required or clearly demonstrated equivalent experience. Adjacent Technical Skills (Beneficial, Not Required) Depth in the specialist area above is mandatory. Experience in the following adjacent domains is a strong plus and will be valued in candidate evaluation, since it enables broader solution ownership across engagements. Public cloud platforms (AWS, Azure, GCP), particularly hybrid and cloud adjacent private cloud designs. Networking (routing/switching, data center fabric) given the tight coupling with NSX/OVN Kubernetes design. Storage architecture beyond vSAN/Ceph, including traditional SAN/NAS platforms. Security architecture, particularly micro segmentation and platform hardening. AI infrastructure exposure, as GPU enabled virtualization and OpenShift AI are an increasing share of client demand. Backup and DR platforms (Veeam, Rubrik, or equivalent). Leadership & Delivery Expectations Leads technical delivery independently and acts as the final technical authority on virtualization platform decisions for an engagement. Mentors other engineers and architects across both VMware and Red Hat platform domains. Navigates vendor and licensing complexity confidently, translating commercial constraints into sound technical roadmaps for clients. Communicates platform trade offs clearly to both hands on engineering teams and infrastructure leadership. Comfortable owning migration cutover windows and the associated risk management. WWT is an Equal Opportunity Employer Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources. Applicants to and employees of most private employers, state and local governments, educational institutions, employment agencies and labor organizations are protected under Federal law from discrimination.
15/07/2026
Full time
Enterprise Architect -Virtualization Practice Area Enterprise Architecture -Virtualization & Private Cloud Reports To Manager, ES&A Location Remote / Client site as required Travel Up to 30%, dependent on engagement portfolio Role Summary World Wide Technology is looking for an Enterprise Architect who lives and breathes virtualization and private cloud platforms -someone equally fluent architecting a VMware vSphere/NSX estate and a Red Hat OpenShift or OpenStack platform, and who can lead clients through the platform decisions reshaping this space, including VMware-to-Kubernetes migration. This role owns technical delivery for virtualization and private cloud engagements end to end: architecture and low-level design, build oversight, migration execution, and operational handover. The candidate will be the final technical authority on virtualization platform decisions for their engagements, while mentoring the wider delivery team. Given how tightly virtualization now intersects with containers, storage, networking, and even AI infrastructure, strong adjacent technical breadth is a real advantage for this role, even though platform depth in VMware and Red Hat remains the core requirement. Key Responsibilities Own end-to-end technical delivery of virtualization and private cloud engagements: architecture definition, low-level design, build/migration oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for virtualization engagements, owning governance gates, decision records, and design sign-off. Architect and validate VMware environments: vSphere/ESXi cluster design, vCenter, vSAN, NSX-T/NSX-V network virtualization, and VMware Cloud Foundation (VCF) deployments. Architect Red Hat platforms: OpenShift Container Platform (OCP) design and installation (IPI/UPI), OpenShift Virtualization (KubeVirt) for VM-to-container consolidation, and Red Hat OpenStack Platform (RHOSP) design and deployment. Lead VMware-to-Kubernetes and VM-to-container migration strategy engagements, including workload assessment, sequencing, and risk mitigation -particularly relevant given ongoing VMware/Broadcom licensing changes driving client re-evaluation. Design software-defined storage and networking as applied to virtualization platforms: vSAN, Ceph/OpenShift Data Foundation (ODF), and NSX. Define disaster recovery and business continuity architectures for virtualized estates, including Site Recovery Manager and equivalent DR orchestration. Lead technical design workshops, present architecture options and trade-offs to infrastructure leadership, and own resulting low-level design documentation. Champion infrastructure-as-code and automation (Ansible, Terraform, GitOps/ArgoCD) to reduce manual platform operations. Mentor other virtualization and platform engineers, and contribute to WWT's private cloud reference architectures. Define migrations strategies Required Technical Skills & Experience Experience Baseline 8-10+ years in virtualization, private cloud, or infrastructure architecture roles. Demonstrated ownership of technical delivery for enterprise-scale virtualization or private cloud transformation programmes. Direct hands on experience with VMware-to-Kubernetes or VM-to-container migration engagements strongly preferred. VMware Platform (Expert Level) Core platform: vSphere/ESXi cluster design, vCenter architecture, resource pools, DRS/HA tuning. Storage: vSAN design and sizing, stretched clusters, storage policy based management. Networking: NSX T/NSX V network virtualization, micro segmentation, and distributed firewall design. Platform: VMware Cloud Foundation (VCF) deployment and lifecycle management. DR & VDI: Site Recovery Manager design; Horizon VDI architecture is a plus. OpenShift: OpenShift Container Platform (OCP) architecture and installation (IPI/UPI), cluster networking (SDN/OVN Kubernetes), and multi cluster design. OpenShift Virtualization: KubeVirt based VM to container consolidation strategy and implementation. OpenStack: Red Hat OpenStack Platform (RHOSP) architecture, deployment, and lifecycle operations. Automation: Red Hat Satellite and Ansible Automation Platform for lifecycle and configuration management. Containers & Cloud Native Fundamentals Kubernetes architecture fundamentals: control plane design, networking (CNI, Multus, SR IOV), and storage (CSI, ODF/Ceph). Operator framework familiarity and experience packaging or consuming Kubernetes operators. Software defined storage: Ceph/OpenShift Data Foundation design and sizing for both block and object workloads. Hands on experience with private/hybrid cloud design principles: capacity planning, workload placement, and migration methodology (P2V/V2V, VM to container). Disaster recovery and business continuity architecture for virtualized and containerized environments. Fluency in VMware/Broadcom and Red Hat subscription/licensing models sufficient to advise clients on cost and platform strategy. Automation & Delivery Infrastructure as code proficiency: Ansible and Terraform for platform provisioning. GitOps experience (ArgoCD or equivalent) for OpenShift/Kubernetes application and platform delivery. Strong client facing design and delivery leadership skills; ability to run technical workshops and own low level design documentation to a professional services standard. Architecture Governance & Design Authority Proven experience hosting and chairing formal Architecture Review Board (ARB) and Technical Design Authority (TDA) forums, including agenda ownership, decision logging, and stakeholder facilitation. Ability to define and operate governance gates across the engagement lifecycle: design authority sign off, change control, and exception/waiver management for virtualization and private cloud decisions. Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance. Comfortable presenting and defending architecture decisions to senior client governance bodies, including constructively challenging non compliant or high risk designs. Certifications VMware Certified Professional - Data Center Virtualization (VCP DCV) required; VMware Certified Advanced Professional (VCAP) strongly preferred. Red Hat Certified Specialist in OpenShift Administration required; Red Hat Certified Architect (RHCA) strongly preferred. Red Hat Certified Specialist in OpenStack Administration -required or clearly demonstrated equivalent experience. Adjacent Technical Skills (Beneficial, Not Required) Depth in the specialist area above is mandatory. Experience in the following adjacent domains is a strong plus and will be valued in candidate evaluation, since it enables broader solution ownership across engagements. Public cloud platforms (AWS, Azure, GCP), particularly hybrid and cloud adjacent private cloud designs. Networking (routing/switching, data center fabric) given the tight coupling with NSX/OVN Kubernetes design. Storage architecture beyond vSAN/Ceph, including traditional SAN/NAS platforms. Security architecture, particularly micro segmentation and platform hardening. AI infrastructure exposure, as GPU enabled virtualization and OpenShift AI are an increasing share of client demand. Backup and DR platforms (Veeam, Rubrik, or equivalent). Leadership & Delivery Expectations Leads technical delivery independently and acts as the final technical authority on virtualization platform decisions for an engagement. Mentors other engineers and architects across both VMware and Red Hat platform domains. Navigates vendor and licensing complexity confidently, translating commercial constraints into sound technical roadmaps for clients. Communicates platform trade offs clearly to both hands on engineering teams and infrastructure leadership. Comfortable owning migration cutover windows and the associated risk management. WWT is an Equal Opportunity Employer Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources. Applicants to and employees of most private employers, state and local governments, educational institutions, employment agencies and labor organizations are protected under Federal law from discrimination.
Senior Forward-Deployed AI Engineer, Tactical AI AutomationsApplylocations: London, GBRtime type: Full timeposted on: Posted Todayjob requisition id: R106224We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real-world business problems. Recognize that cross-functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch-and-learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.PIMCO is seeking a Senior Forward-Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform. The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools - including LLM-based assistants, agentic workflows, and internal AI platforms - across its investment teams. The Forward-Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap.As the senior AI presence in the London office, you will also serve as the first line of support for Lane Assist / POET (PIMCO's portfolio optimization engine technology) during European hours, partnering closely with the US-based engineering teams. Responsibilities AI Deployment, Enablement & Adoption Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval-augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research. Deliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations. Embed with PM and Analytics teams to understand investment and research workflows, identify high-value AI use cases, and build proofs of concept that demonstrate impact. Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team. Identify patterns across PM and Analytics teams to surface high-impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support - Lane Assist / POET Provide first-line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users. Diagnose, resolve, or escalate production issues, coordinating handoffs with US-based engineering and support teams. Maintain runbooks, support documentation, and known-issue logs to improve supportability and reduce time to resolution. Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently. Qualifications BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field. 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands-on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production-quality code. Demonstrated experience deploying technology directly with end users in a forward-deployed, solutions engineering, or customer/field engineering capacity. Excellent communication skills, with a proven ability to teach technical concepts to both technical and non-technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine-tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good-to-have: experience with production support or SRE-style operations, SQL/Snowflake, data pipelines, or web applications. Additional Skills Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office. High empathy for users and genuine enthusiasm for driving adoption and behavioral change. Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype. Comfortable balancing strategic enablement work with hands-on operational support in a fast-paced financial environment.
12/07/2026
Full time
Senior Forward-Deployed AI Engineer, Tactical AI AutomationsApplylocations: London, GBRtime type: Full timeposted on: Posted Todayjob requisition id: R106224We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real-world business problems. Recognize that cross-functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch-and-learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.PIMCO is seeking a Senior Forward-Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform. The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools - including LLM-based assistants, agentic workflows, and internal AI platforms - across its investment teams. The Forward-Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap.As the senior AI presence in the London office, you will also serve as the first line of support for Lane Assist / POET (PIMCO's portfolio optimization engine technology) during European hours, partnering closely with the US-based engineering teams. Responsibilities AI Deployment, Enablement & Adoption Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval-augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research. Deliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations. Embed with PM and Analytics teams to understand investment and research workflows, identify high-value AI use cases, and build proofs of concept that demonstrate impact. Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team. Identify patterns across PM and Analytics teams to surface high-impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support - Lane Assist / POET Provide first-line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users. Diagnose, resolve, or escalate production issues, coordinating handoffs with US-based engineering and support teams. Maintain runbooks, support documentation, and known-issue logs to improve supportability and reduce time to resolution. Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently. Qualifications BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field. 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands-on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production-quality code. Demonstrated experience deploying technology directly with end users in a forward-deployed, solutions engineering, or customer/field engineering capacity. Excellent communication skills, with a proven ability to teach technical concepts to both technical and non-technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine-tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good-to-have: experience with production support or SRE-style operations, SQL/Snowflake, data pipelines, or web applications. Additional Skills Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office. High empathy for users and genuine enthusiasm for driving adoption and behavioral change. Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype. Comfortable balancing strategic enablement work with hands-on operational support in a fast-paced financial environment.