RadNet, Inc.
Enterprise Architect - Artificial Intelligence AI/ML Infrastructure, Platform & Governance Role Summary World Wide Technology is looking for a deeply technical Enterprise Architect who will own the delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams for client engagements, acting as the single point of technical accountability from design through to go-live, while mentoring delivery teams and shaping WWT's broader AI point of view. Key Responsibilities Own end-to-end technical delivery of AI/ML engagements: architecture definition, design authority, build oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for AI engagements, owning governance gates, decision records, and design sign-off. Architect AI infrastructure spanning GPU/accelerator compute, high-performance interconnects ,parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/IEC 42001). Act as trusted technical advisor to client CTOs, CIOs and Heads of Data/AI on platform strategy, build-vs-buy decisions, and AI operating model design. Lead technical workshops, architecture design sessions, and proof-of-concept builds with cross-functional engineering, data science, and security teams. Serve as the technical escalation point for delivery teams; unblock design and implementation issues under time pressure. Mentor other architects and engineers on AI systems design, uplifting AI depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms to existing enterprise networks, third-party systems, and external or service-provider-hosted environments (e.g. colocation, managed GPU-as-a-service, external inference endpoints). Track the fast-moving AI landscape - new model architectures, silicon, frameworks and regulation - and translate relevant developments into WWT's delivery methodology and client recommendations. Required Technical Skills & Experience Experience Baseline 10+ years in enterprise architecture, infrastructure engineering, or platform engineering roles. 5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads. Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center Infrastructure GPU/accelerator architectures: NVIDIA / AMD, including multi-node scale-out design. Accelerator interconnects: NVLink, NVSwitch High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail-optimized topologies for AI clusters. Data center facilities: power density, liquid cooling, and rack-level design considerations specific to AI compute. Storage: parallel and high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads. AI Software, MLOps & Generative AI ML frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters. CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production. Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana, and related telemetry stacks for GPU utilization, thermal, and cluster health monitoring. Model & LLM observability: production model performance monitoring, data/concept drift detection, and LLM-specific observability (token usage, latency, cost, hallucination/quality metrics) using tools such as Arize, WhyLabs, or Langfuse. Logging & tracing: centralized logging (ELK/OpenSearch) and distributed tracing (OpenTelemetry) across data, training, and inference pipelines for end-to-end root cause analysis. Integration - AI Stack, Enterprise Networks & Service Provider Environments Platform integration: API-based and event-driven integration of AI platforms with enterprise systems, using REST/gRPC APIs and message/event streaming platforms (e.g. Kafka). Enterprise network integration: designing connectivity between AI/GPU infrastructure and existing campus, data center, and WAN environments, including capacity and latency planning for east west training traffic and north south inference traffic. Hybrid & multi-cloud connectivity: integrating on-premises AI platforms with cloud AI services via dedicated interconnects (Direct Connect, ExpressRoute) and multi-cloud/hybrid connectivity patterns for distributed training or burst inference. Service provider & third party integration: experience architecting connections into external or service provider hosted environments - colocation interconnects, managed GPU-as-a-service offerings, and third party/external inference endpoints - including the commercial and technical boundary considerations involved. Secure exposure of AI services: working knowledge of API gateways, service mesh, and mutual TLS as applied to exposing or consuming AI services safely across organizational and network boundaries. Cross-functional design: proven ability to partner directly with network and security architects to define end to end integration architecture spanning AI platforms, enterprise networks, and external/customer environments. Working knowledge of model risk management frameworks and responsible AI principles (fairness, explainability, human oversight). Familiarity with data privacy regulation (GDPR, CCPA) as applied to AI training and inference data. Working knowledge of emerging AI specific regulation and standards: EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001. Experience establishing model documentation, audit trail, and approval gate processes for production AI systems. Security & Cloud AI specific security fundamentals: model security, prompt injection defenses, supply chain security for open source/open weight models. Solutions architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on premises/cloud AI deployments, including data residency and sovereignty constraints. 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 AI platform decisions. Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance. . click apply for full job details
Enterprise Architect - Artificial Intelligence AI/ML Infrastructure, Platform & Governance Role Summary World Wide Technology is looking for a deeply technical Enterprise Architect who will own the delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams for client engagements, acting as the single point of technical accountability from design through to go-live, while mentoring delivery teams and shaping WWT's broader AI point of view. Key Responsibilities Own end-to-end technical delivery of AI/ML engagements: architecture definition, design authority, build oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for AI engagements, owning governance gates, decision records, and design sign-off. Architect AI infrastructure spanning GPU/accelerator compute, high-performance interconnects ,parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/IEC 42001). Act as trusted technical advisor to client CTOs, CIOs and Heads of Data/AI on platform strategy, build-vs-buy decisions, and AI operating model design. Lead technical workshops, architecture design sessions, and proof-of-concept builds with cross-functional engineering, data science, and security teams. Serve as the technical escalation point for delivery teams; unblock design and implementation issues under time pressure. Mentor other architects and engineers on AI systems design, uplifting AI depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms to existing enterprise networks, third-party systems, and external or service-provider-hosted environments (e.g. colocation, managed GPU-as-a-service, external inference endpoints). Track the fast-moving AI landscape - new model architectures, silicon, frameworks and regulation - and translate relevant developments into WWT's delivery methodology and client recommendations. Required Technical Skills & Experience Experience Baseline 10+ years in enterprise architecture, infrastructure engineering, or platform engineering roles. 5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads. Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center Infrastructure GPU/accelerator architectures: NVIDIA / AMD, including multi-node scale-out design. Accelerator interconnects: NVLink, NVSwitch High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail-optimized topologies for AI clusters. Data center facilities: power density, liquid cooling, and rack-level design considerations specific to AI compute. Storage: parallel and high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads. AI Software, MLOps & Generative AI ML frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters. CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production. Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana, and related telemetry stacks for GPU utilization, thermal, and cluster health monitoring. Model & LLM observability: production model performance monitoring, data/concept drift detection, and LLM-specific observability (token usage, latency, cost, hallucination/quality metrics) using tools such as Arize, WhyLabs, or Langfuse. Logging & tracing: centralized logging (ELK/OpenSearch) and distributed tracing (OpenTelemetry) across data, training, and inference pipelines for end-to-end root cause analysis. Integration - AI Stack, Enterprise Networks & Service Provider Environments Platform integration: API-based and event-driven integration of AI platforms with enterprise systems, using REST/gRPC APIs and message/event streaming platforms (e.g. Kafka). Enterprise network integration: designing connectivity between AI/GPU infrastructure and existing campus, data center, and WAN environments, including capacity and latency planning for east west training traffic and north south inference traffic. Hybrid & multi-cloud connectivity: integrating on-premises AI platforms with cloud AI services via dedicated interconnects (Direct Connect, ExpressRoute) and multi-cloud/hybrid connectivity patterns for distributed training or burst inference. Service provider & third party integration: experience architecting connections into external or service provider hosted environments - colocation interconnects, managed GPU-as-a-service offerings, and third party/external inference endpoints - including the commercial and technical boundary considerations involved. Secure exposure of AI services: working knowledge of API gateways, service mesh, and mutual TLS as applied to exposing or consuming AI services safely across organizational and network boundaries. Cross-functional design: proven ability to partner directly with network and security architects to define end to end integration architecture spanning AI platforms, enterprise networks, and external/customer environments. Working knowledge of model risk management frameworks and responsible AI principles (fairness, explainability, human oversight). Familiarity with data privacy regulation (GDPR, CCPA) as applied to AI training and inference data. Working knowledge of emerging AI specific regulation and standards: EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001. Experience establishing model documentation, audit trail, and approval gate processes for production AI systems. Security & Cloud AI specific security fundamentals: model security, prompt injection defenses, supply chain security for open source/open weight models. Solutions architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on premises/cloud AI deployments, including data residency and sovereignty constraints. 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 AI platform decisions. Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance. . click apply for full job details
RadNet, Inc.
PMO Manager Why WWT? Founded in 1990, World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! Why should you join the PMO? As a PMO Manager, you will be working on exciting infrastructure driven projects for Fortune 500 customers across all verticals. Our global infrastructure planning and deployment services deliver thousands of projects each year. From employing our methodologies at hundreds of sites to leveraging complete enterprise design services, customers trust our infrastructure experts to assess the technology they have today and design the solutions they need for tomorrow. What will you be doing? RESPONSIBILITIES: Deep understanding of Project Management methodologies Work directly with Sales, Project Managers, & deployment resources to ensure flawless execution of our implementations Ensure customer satisfaction and SLA's are exceeded Continuous focus on services improvements Comprehensive understanding of financial management & cost control practices Maintain communication with customers and WWT staff Personnel management and development Ability to build a high performance team with high morale Recruitment, interviewing, & forecasting staffing requirements Drive project schedule, scope, and milestone performance within the PMO Monitor and manage the day-to-day aspects of projects within the PMO Excellent understanding of risk management and issue resolution Ensure projects are planned and executed in line with the PMO methodology Continued focus on methodologies & deployment process improvements Review of project deliverables Ensure rigour and discipline around post mortem and lessons learnt reviews Build and maintain relationships with internal and external customers, as well as subcontractors QUALIFICATIONS: Bachelor's Degree, PMP, or extended management experience preferred Minimum of 5 years management experience in a Professional Services environment, managing PMO teams that lead complex Information Technology projects Minimum of 10 years of project management experience PMP or PRINCE 2 certified Three years + prior sales/business development experience Extended knowledge of networking technologies and deployment practices Excellent understanding of financial processes; ability to create proformas, track project metrics, forecast future trends, and manage change Excellent understanding of the contract process; ability to manage contract modifications and take the lead of negotiations surrounding contract scope, cost, and schedule Ability to work independently and to work collaboratively in high functioning global teams Strong customer-facing and communication skills (written, verbal, and presentation) Strong problem solving skills with the ability to implement change Valid driver's licence Ideal timezone is GMT/GMT+1 aligned our UK office Want to learn more about Infrastructure Services? Check us out on our platform: The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! Equal Opportunity Employer 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.
PMO Manager Why WWT? Founded in 1990, World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! Why should you join the PMO? As a PMO Manager, you will be working on exciting infrastructure driven projects for Fortune 500 customers across all verticals. Our global infrastructure planning and deployment services deliver thousands of projects each year. From employing our methodologies at hundreds of sites to leveraging complete enterprise design services, customers trust our infrastructure experts to assess the technology they have today and design the solutions they need for tomorrow. What will you be doing? RESPONSIBILITIES: Deep understanding of Project Management methodologies Work directly with Sales, Project Managers, & deployment resources to ensure flawless execution of our implementations Ensure customer satisfaction and SLA's are exceeded Continuous focus on services improvements Comprehensive understanding of financial management & cost control practices Maintain communication with customers and WWT staff Personnel management and development Ability to build a high performance team with high morale Recruitment, interviewing, & forecasting staffing requirements Drive project schedule, scope, and milestone performance within the PMO Monitor and manage the day-to-day aspects of projects within the PMO Excellent understanding of risk management and issue resolution Ensure projects are planned and executed in line with the PMO methodology Continued focus on methodologies & deployment process improvements Review of project deliverables Ensure rigour and discipline around post mortem and lessons learnt reviews Build and maintain relationships with internal and external customers, as well as subcontractors QUALIFICATIONS: Bachelor's Degree, PMP, or extended management experience preferred Minimum of 5 years management experience in a Professional Services environment, managing PMO teams that lead complex Information Technology projects Minimum of 10 years of project management experience PMP or PRINCE 2 certified Three years + prior sales/business development experience Extended knowledge of networking technologies and deployment practices Excellent understanding of financial processes; ability to create proformas, track project metrics, forecast future trends, and manage change Excellent understanding of the contract process; ability to manage contract modifications and take the lead of negotiations surrounding contract scope, cost, and schedule Ability to work independently and to work collaboratively in high functioning global teams Strong customer-facing and communication skills (written, verbal, and presentation) Strong problem solving skills with the ability to implement change Valid driver's licence Ideal timezone is GMT/GMT+1 aligned our UK office Want to learn more about Infrastructure Services? Check us out on our platform: The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! Equal Opportunity Employer 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.
RadNet, Inc.
Director - Microsoft Cloud and AI (UK Region) London, United Kingdom Position Overview As a Director - Microsoft Cloud and AI (UK Region), you function as both a strategic consultant and technical leader for WWT's UK enterprise clients. You will engage with business and technology leaders across financial services, insurance, retail, manufacturing, and life sciences - understanding their ambitions, navigating sector specific challenges, and architecting a vision for how Microsoft Cloud and AI can transform their operations. You will partner with WWT account teams, executive sponsors, and services sales to shape and close large scale Microsoft Cloud and AI engagements that modernise technology estates, unlock operational resilience, and deliver measurable business outcomes across the UK. Key Responsibilities Account Engagement & Advisory Engage as a trusted C suite advisor to shape and advance Microsoft Cloud and AI transformation opportunities across UK enterprise clients, with a primary emphasis on financial services and insurance, and additional focus on retail, manufacturing, and life sciences. Proactively identify and qualify high impact transformation opportunities aligned to clients' cloud, AI, and digital resilience strategies. Collaborate across WWT solution areas - Security, Digital, Data Center, Digital Workspace, Networking, and Automation - to craft integrated, outcome driven strategies that position WWT as the Microsoft partner of choice. Lead cross functional teams to architect scalable, secure, and regulatory compliant Microsoft Cloud and AI solutions that support enterprise transformation goals. Solutions Leadership Partner with WWT account and sales teams to educate on Microsoft Cloud and AI capabilities and drive business development across UK enterprise verticals. Work with sales engineers and cloud consultants to validate customer requirements and translate initial scope into actionable, commercially sound engagements. Build relationships across WWT to scope and deliver cross functional solutions spanning Digital, Security, AI, Analytics, Automation, and Enterprise Architecture. Spearhead the strategic design of innovative solutions by leveraging deep knowledge of the Microsoft ecosystem and the UK enterprise technology landscape. Actively pursue business opportunities at large, complex organisations; develop and negotiate statements of work covering project scope, deliverables, timelines, and commercial terms. Partner with delivery and sales leadership to ensure solutions seamlessly transition from proposal to execution, enabling rapid value realisation and measurable business outcomes. Develop trusted relationships with Microsoft UK technical sales leaders, expanding WWT's footprint across accounts, verticals, and regions. Market & Thought Leadership Represent WWT as an industry thought leader at executive client forums, UK and European industry events, and strategic roundtables - particularly within the Microsoft and UK enterprise ecosystem. Maintain a current, expert view of UK regulatory and market developments relevant to cloud adoption and AI governance - including financial services regulation (FCA, PRA, DORA), data protection (UK GDPR), and sector specific operational resilience expectations - and translate these into client relevant strategies. Provide competitive and market intelligence to shape WWT's strategic positioning and future solution development in the UK. Drive pipeline growth by serving as a visible industry leader who influences strategic technology buying decisions across UK enterprise sectors. Technical Leadership Serve as a trusted technical advisor to clients, crafting tailored Microsoft Cloud and AI recommendations that address each client's unique business context and long term goals. Apply strong analytical, quantitative, and conceptual thinking to solution client engagements with rigour and commercial clarity. Represent WWT's technical expertise to clients and internal teams through deep knowledge of Microsoft Azure, Copilot, and associated AI platform services. Maintain expert level knowledge of WWT's solution offerings and complete relevant Microsoft certification programmes as applicable. Stay current with emerging technologies across cloud, AI, and enterprise digitalisation. Qualifications Extensive experience in a related field, with significant experience working in or serving UK enterprise clients. Extensive experience selling and scoping complex Microsoft Cloud and AI services engagements, with experience leading the design and delivery of large scale implementations. Bachelor's Degree in a related field (e.g. Computer Science, Information Systems, Engineering, or Finance). Experience with complex commercial models including strategy led consulting, implementation and managed services, and multi year transformation programmes. Proven ability to shape and close large strategic advisory engagements that lead to downstream implementation services. Proven ability to operate as a thought leader in executive client settings, industry forums, and regulatory and strategic briefings. High proficiency at collaborating, managing conflicting interests, and navigating ambiguity - including in regulated and complex enterprise environments. Strong executive presence; capable of gaining the trust of senior client stakeholders and leading the WWT team within complex accounts. Intellectually curious, with the desire to understand constantly evolving technology solutions and how they connect to business and regulatory outcomes. Assertive, collaborative, self starter with emotional intelligence and the capacity to synthesise complex information into actionable client insights. Flexible, with proven ability to adapt to shifting priorities, demands, and timelines through strong analytical and problem solving capabilities. Self directed, with the ability to thrive in ambiguous and fast moving client environments. Proven ability to provide market intelligence and competitive insights to inform client strategy and internal GTM initiatives. Technical & Domain Expertise Deep understanding of Microsoft Cloud and AI ecosystem products and solutions, including Azure, Azure OpenAI, and Microsoft Copilot. Deep expertise consulting on large scale technology transformation with enterprise clients in the UK and/or Europe, with demonstrable strength in financial services. Working knowledge of Hybrid, Private, and Public Cloud strategies and the trade offs between them across enterprise and regulated industry contexts. Understanding of enterprise cloud operating models for complex organisations, including shared responsibility frameworks, data residency requirements, and third party risk management (TPRM) obligations. Ability to reason across complex technology interdependencies spanning infrastructure, applications, security, data, and AI. Strongly Desired Skills Expert level Microsoft certifications (e.g. Azure Solutions Architect Expert, Azure DevOps Engineer Expert). Specialised expertise in one or more of the following: Cloud AI and data platform technologies (e.g. Azure OpenAI, Azure Synapse, Microsoft Fabric, Purview) Cloud native application architecture for enterprise workloads (e.g. Azure App Services, AKS, Azure Functions) Core cloud infrastructure - Networking (e.g. ExpressRoute, vWAN), Security (e.g. Azure Firewall, Microsoft Sentinel), Compute, and Storage CI/CD pipeline development and Infrastructure as Code (e.g. ARM/Bicep, Terraform, Ansible, Azure DevOps, GitHub Actions) Cloud modernisation and migration programmes at enterprise scale Cloud strategy, adoption frameworks, and FinOps for enterprise and regulated industries Experience navigating UK regulatory expectations around cloud adoption, AI governance, and operational resilience including FCA/PRA guidance, DORA, and UK GDPR across financial services and other regulated industries. Travel: Up to 30%, primarily within the United Kingdom and Europe. Benefits Health and Wellbeing: Health, Dental, and Vision Care; Onsite Health Centers; Employee Assistance Program; Wellness program. Financial Benefits: Competitive pay; Profit Sharing; 401k Plan with Company Matching; Life and Disability Insurance; Tuition Reimbursement. Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year); Parental Leave; Military Leave; Bereavement. Additional Perks: Nursing Mothers Benefits; Voluntary Legal; Pet Insurance; Employee Discount Program. Want to learn more about Consulting Services? Check us out on our platform: 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 . click apply for full job details
Director - Microsoft Cloud and AI (UK Region) London, United Kingdom Position Overview As a Director - Microsoft Cloud and AI (UK Region), you function as both a strategic consultant and technical leader for WWT's UK enterprise clients. You will engage with business and technology leaders across financial services, insurance, retail, manufacturing, and life sciences - understanding their ambitions, navigating sector specific challenges, and architecting a vision for how Microsoft Cloud and AI can transform their operations. You will partner with WWT account teams, executive sponsors, and services sales to shape and close large scale Microsoft Cloud and AI engagements that modernise technology estates, unlock operational resilience, and deliver measurable business outcomes across the UK. Key Responsibilities Account Engagement & Advisory Engage as a trusted C suite advisor to shape and advance Microsoft Cloud and AI transformation opportunities across UK enterprise clients, with a primary emphasis on financial services and insurance, and additional focus on retail, manufacturing, and life sciences. Proactively identify and qualify high impact transformation opportunities aligned to clients' cloud, AI, and digital resilience strategies. Collaborate across WWT solution areas - Security, Digital, Data Center, Digital Workspace, Networking, and Automation - to craft integrated, outcome driven strategies that position WWT as the Microsoft partner of choice. Lead cross functional teams to architect scalable, secure, and regulatory compliant Microsoft Cloud and AI solutions that support enterprise transformation goals. Solutions Leadership Partner with WWT account and sales teams to educate on Microsoft Cloud and AI capabilities and drive business development across UK enterprise verticals. Work with sales engineers and cloud consultants to validate customer requirements and translate initial scope into actionable, commercially sound engagements. Build relationships across WWT to scope and deliver cross functional solutions spanning Digital, Security, AI, Analytics, Automation, and Enterprise Architecture. Spearhead the strategic design of innovative solutions by leveraging deep knowledge of the Microsoft ecosystem and the UK enterprise technology landscape. Actively pursue business opportunities at large, complex organisations; develop and negotiate statements of work covering project scope, deliverables, timelines, and commercial terms. Partner with delivery and sales leadership to ensure solutions seamlessly transition from proposal to execution, enabling rapid value realisation and measurable business outcomes. Develop trusted relationships with Microsoft UK technical sales leaders, expanding WWT's footprint across accounts, verticals, and regions. Market & Thought Leadership Represent WWT as an industry thought leader at executive client forums, UK and European industry events, and strategic roundtables - particularly within the Microsoft and UK enterprise ecosystem. Maintain a current, expert view of UK regulatory and market developments relevant to cloud adoption and AI governance - including financial services regulation (FCA, PRA, DORA), data protection (UK GDPR), and sector specific operational resilience expectations - and translate these into client relevant strategies. Provide competitive and market intelligence to shape WWT's strategic positioning and future solution development in the UK. Drive pipeline growth by serving as a visible industry leader who influences strategic technology buying decisions across UK enterprise sectors. Technical Leadership Serve as a trusted technical advisor to clients, crafting tailored Microsoft Cloud and AI recommendations that address each client's unique business context and long term goals. Apply strong analytical, quantitative, and conceptual thinking to solution client engagements with rigour and commercial clarity. Represent WWT's technical expertise to clients and internal teams through deep knowledge of Microsoft Azure, Copilot, and associated AI platform services. Maintain expert level knowledge of WWT's solution offerings and complete relevant Microsoft certification programmes as applicable. Stay current with emerging technologies across cloud, AI, and enterprise digitalisation. Qualifications Extensive experience in a related field, with significant experience working in or serving UK enterprise clients. Extensive experience selling and scoping complex Microsoft Cloud and AI services engagements, with experience leading the design and delivery of large scale implementations. Bachelor's Degree in a related field (e.g. Computer Science, Information Systems, Engineering, or Finance). Experience with complex commercial models including strategy led consulting, implementation and managed services, and multi year transformation programmes. Proven ability to shape and close large strategic advisory engagements that lead to downstream implementation services. Proven ability to operate as a thought leader in executive client settings, industry forums, and regulatory and strategic briefings. High proficiency at collaborating, managing conflicting interests, and navigating ambiguity - including in regulated and complex enterprise environments. Strong executive presence; capable of gaining the trust of senior client stakeholders and leading the WWT team within complex accounts. Intellectually curious, with the desire to understand constantly evolving technology solutions and how they connect to business and regulatory outcomes. Assertive, collaborative, self starter with emotional intelligence and the capacity to synthesise complex information into actionable client insights. Flexible, with proven ability to adapt to shifting priorities, demands, and timelines through strong analytical and problem solving capabilities. Self directed, with the ability to thrive in ambiguous and fast moving client environments. Proven ability to provide market intelligence and competitive insights to inform client strategy and internal GTM initiatives. Technical & Domain Expertise Deep understanding of Microsoft Cloud and AI ecosystem products and solutions, including Azure, Azure OpenAI, and Microsoft Copilot. Deep expertise consulting on large scale technology transformation with enterprise clients in the UK and/or Europe, with demonstrable strength in financial services. Working knowledge of Hybrid, Private, and Public Cloud strategies and the trade offs between them across enterprise and regulated industry contexts. Understanding of enterprise cloud operating models for complex organisations, including shared responsibility frameworks, data residency requirements, and third party risk management (TPRM) obligations. Ability to reason across complex technology interdependencies spanning infrastructure, applications, security, data, and AI. Strongly Desired Skills Expert level Microsoft certifications (e.g. Azure Solutions Architect Expert, Azure DevOps Engineer Expert). Specialised expertise in one or more of the following: Cloud AI and data platform technologies (e.g. Azure OpenAI, Azure Synapse, Microsoft Fabric, Purview) Cloud native application architecture for enterprise workloads (e.g. Azure App Services, AKS, Azure Functions) Core cloud infrastructure - Networking (e.g. ExpressRoute, vWAN), Security (e.g. Azure Firewall, Microsoft Sentinel), Compute, and Storage CI/CD pipeline development and Infrastructure as Code (e.g. ARM/Bicep, Terraform, Ansible, Azure DevOps, GitHub Actions) Cloud modernisation and migration programmes at enterprise scale Cloud strategy, adoption frameworks, and FinOps for enterprise and regulated industries Experience navigating UK regulatory expectations around cloud adoption, AI governance, and operational resilience including FCA/PRA guidance, DORA, and UK GDPR across financial services and other regulated industries. Travel: Up to 30%, primarily within the United Kingdom and Europe. Benefits Health and Wellbeing: Health, Dental, and Vision Care; Onsite Health Centers; Employee Assistance Program; Wellness program. Financial Benefits: Competitive pay; Profit Sharing; 401k Plan with Company Matching; Life and Disability Insurance; Tuition Reimbursement. Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year); Parental Leave; Military Leave; Bereavement. Additional Perks: Nursing Mothers Benefits; Voluntary Legal; Pet Insurance; Employee Discount Program. Want to learn more about Consulting Services? Check us out on our platform: 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. 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