Barings LLC
Cloud Solutions Architect page is loaded Cloud Solutions Architectlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR\_006513At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities. Senior Cloud Solutions Architect Director Primary Responsibilities We are looking for a highly motivated, driven and passionate Cloud Solutions Architect to lead, manage and deliver solutions across the Barings portfolio.The primary responsibility of the Cloud Solutions Architect is to define and provide cloud and hybrid solutions to meet business requirements. You will partner with business application teams as well as technical and security services teams to describe and ensure alignment to Barings' agreed strategy, policies, principles, and patterns.Responsibilities include: Act as an incubator for modernization of application, technical and security services through adoption of cloud-native solutions. Partner with Enterprise Architecture to implement a highly scalable, automated, and available cloud platform, aligned with the future state cloud-first strategy and architecture. Define and document cloud service security baselines that align with modern security frameworks (CIS, CSA, ISO27001, etc.) Define and document repeatable cloud service patterns Drive adoption and migration from traditional technology platforms to public cloud services. Recommend tools and methodologies to support Cloud Platform operations and implement SRE practices and team as part of the Digital transformation process. Partner with Development teams, Cyber Security, Support and Enterprise Architecture teams to deliver and maintain a cloud platform with associated DevOps practices. Break large complex systems into manageable subsystems and components, each of which can be managed by individuals or teams in a scalable manner. Ensure systems and application have efficient and actionable monitoring with SLO aligned with business goals.Qualifications/Requirements: You have expert knowledge of Microsoft Azure products and capabilities. You have proven experience with all aspects of Cloud service models and application delivery such as PaaS, Serverless and Containerization infrastructure. You have proven experience designing solutions in a hybrid environment You have proven experience in building fault-tolerant, scalable, and secure systems. You have proven experience working in DevOps teams within a mission critical environment. You have working experience in Agile methodologies and have actively managed scrums. You previously worked with CI/CD, Infrastructure-as-Code management and governance. You must be passionate about innovation and love leading technological change. You must be passionate in creating a collaborative, caring and safe environment for all teammates to succeed.Preferred / Nice-to-Have Skills Experience designing large-scale data platforms Experience designing AI and machine learning platforms Experience designing container platforms Requisite Skills Additional Skills Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.
Cloud Solutions Architect page is loaded Cloud Solutions Architectlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR\_006513At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities. Senior Cloud Solutions Architect Director Primary Responsibilities We are looking for a highly motivated, driven and passionate Cloud Solutions Architect to lead, manage and deliver solutions across the Barings portfolio.The primary responsibility of the Cloud Solutions Architect is to define and provide cloud and hybrid solutions to meet business requirements. You will partner with business application teams as well as technical and security services teams to describe and ensure alignment to Barings' agreed strategy, policies, principles, and patterns.Responsibilities include: Act as an incubator for modernization of application, technical and security services through adoption of cloud-native solutions. Partner with Enterprise Architecture to implement a highly scalable, automated, and available cloud platform, aligned with the future state cloud-first strategy and architecture. Define and document cloud service security baselines that align with modern security frameworks (CIS, CSA, ISO27001, etc.) Define and document repeatable cloud service patterns Drive adoption and migration from traditional technology platforms to public cloud services. Recommend tools and methodologies to support Cloud Platform operations and implement SRE practices and team as part of the Digital transformation process. Partner with Development teams, Cyber Security, Support and Enterprise Architecture teams to deliver and maintain a cloud platform with associated DevOps practices. Break large complex systems into manageable subsystems and components, each of which can be managed by individuals or teams in a scalable manner. Ensure systems and application have efficient and actionable monitoring with SLO aligned with business goals.Qualifications/Requirements: You have expert knowledge of Microsoft Azure products and capabilities. You have proven experience with all aspects of Cloud service models and application delivery such as PaaS, Serverless and Containerization infrastructure. You have proven experience designing solutions in a hybrid environment You have proven experience in building fault-tolerant, scalable, and secure systems. You have proven experience working in DevOps teams within a mission critical environment. You have working experience in Agile methodologies and have actively managed scrums. You previously worked with CI/CD, Infrastructure-as-Code management and governance. You must be passionate about innovation and love leading technological change. You must be passionate in creating a collaborative, caring and safe environment for all teammates to succeed.Preferred / Nice-to-Have Skills Experience designing large-scale data platforms Experience designing AI and machine learning platforms Experience designing container platforms Requisite Skills Additional Skills Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.
Barings LLC
Title: Director, AI Platform Manager/ AI Platform Owner Location: London, UK or Charlotte, NC Job Summary Barings is building an enterprise AI platform to enable the safe, scalable, and governed adoption of AI agents and AI-powered solutions across the organization. We are seeking an AI Platform Manager to own the end-to-end operation, evolution, and governance of this platform as it moves from build into adoption and scale. This role is accountable for platform coherence across a hybrid ecosystem that includes multiple agent development platforms and runtimes including selected third-party AI tools. The AI Platform Manager will act as the central coordinator across cloud, data, integration, security, identity, and application platform teams, ensuring alignment with the enterprise AI reference architecture, governance frameworks, and regulatory obligations. The successful candidate will combine platform ownership, stakeholder coordination, and pragmatic delivery leadership, enabling teams to build and operate AI capabilities without compromising security, cost control, or compliance. Primary Responsibilities Own the end-to-end AI platform lifecycle, including roadmap, operating model, adoption strategy, and continuous improvement aligned to the enterprise AI reference architecture. Act as the single point of accountability for the AI platform, coordinating across infrastructure, cloud, data, security, identity, integration, and application platform administrators. Govern and manage a hybrid AI tool ecosystem spanning Microsoft-native platforms and approved third-party AI tools. Define and operate platform guardrails covering access control, cost management, usage monitoring, model selection, tool onboarding, and lifecycle management. Ensure responsible AI, regulatory alignment, and audit readiness in partnership with enterprise risk and compliance teams. Oversee AI gateway and control plane capabilities including usage tracking, rate limiting, observability, logging, and chargeback mechanisms. Establish clear RACI models for platform ownership versus domain ownership. Enable safe self service AI development across low code and pro code tooling. Own platform-level standards, documentation, and onboarding playbooks. Support demand management, prioritisation, and platform fit assessment for AI use cases. Qualifications Experience owning or operating enterprise technology platforms. Strong cross-team coordination skills in complex enterprise environments. Understanding of AI platforms, agent-based architectures, and AI services. Experience working in regulated or governance-heavy environments. Knowledge of platform cost management, usage monitoring, and chargeback models. Strong communication and stakeholder management abilities. Experience with Microsoft AI ecosystem including Copilot, Copilot Studio, Azure AI Foundry, and Databricks. Familiarity with AI gateway patterns, zero trust architecture, and identity-centric access controls. Understanding of Responsible AI, data classification, and AI risk management. Experience operating platform observability and usage analytics. Background in multi-vendor or hybrid platform environments. Experience within financial services, asset management, or other regulated industries is strongly preferred. Familiarity with enterprise-scale operating models and shared services environments is beneficial. Required Skills AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search Cloud & Integration: Microsoft Azure, API Management, Containers Identity & Security: Azure Entra ID, Key Vault, RBAC Observability & Governance: Logging, usage analytics, cost dashboards This is a platform ownership and coordination role, not a hands on model development position. Success is measured by adoption, safety, scalability, and sustainability of the AI platform. Works closely with architects and engineers while remaining accountable for cross-platform alignment. Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.
Title: Director, AI Platform Manager/ AI Platform Owner Location: London, UK or Charlotte, NC Job Summary Barings is building an enterprise AI platform to enable the safe, scalable, and governed adoption of AI agents and AI-powered solutions across the organization. We are seeking an AI Platform Manager to own the end-to-end operation, evolution, and governance of this platform as it moves from build into adoption and scale. This role is accountable for platform coherence across a hybrid ecosystem that includes multiple agent development platforms and runtimes including selected third-party AI tools. The AI Platform Manager will act as the central coordinator across cloud, data, integration, security, identity, and application platform teams, ensuring alignment with the enterprise AI reference architecture, governance frameworks, and regulatory obligations. The successful candidate will combine platform ownership, stakeholder coordination, and pragmatic delivery leadership, enabling teams to build and operate AI capabilities without compromising security, cost control, or compliance. Primary Responsibilities Own the end-to-end AI platform lifecycle, including roadmap, operating model, adoption strategy, and continuous improvement aligned to the enterprise AI reference architecture. Act as the single point of accountability for the AI platform, coordinating across infrastructure, cloud, data, security, identity, integration, and application platform administrators. Govern and manage a hybrid AI tool ecosystem spanning Microsoft-native platforms and approved third-party AI tools. Define and operate platform guardrails covering access control, cost management, usage monitoring, model selection, tool onboarding, and lifecycle management. Ensure responsible AI, regulatory alignment, and audit readiness in partnership with enterprise risk and compliance teams. Oversee AI gateway and control plane capabilities including usage tracking, rate limiting, observability, logging, and chargeback mechanisms. Establish clear RACI models for platform ownership versus domain ownership. Enable safe self service AI development across low code and pro code tooling. Own platform-level standards, documentation, and onboarding playbooks. Support demand management, prioritisation, and platform fit assessment for AI use cases. Qualifications Experience owning or operating enterprise technology platforms. Strong cross-team coordination skills in complex enterprise environments. Understanding of AI platforms, agent-based architectures, and AI services. Experience working in regulated or governance-heavy environments. Knowledge of platform cost management, usage monitoring, and chargeback models. Strong communication and stakeholder management abilities. Experience with Microsoft AI ecosystem including Copilot, Copilot Studio, Azure AI Foundry, and Databricks. Familiarity with AI gateway patterns, zero trust architecture, and identity-centric access controls. Understanding of Responsible AI, data classification, and AI risk management. Experience operating platform observability and usage analytics. Background in multi-vendor or hybrid platform environments. Experience within financial services, asset management, or other regulated industries is strongly preferred. Familiarity with enterprise-scale operating models and shared services environments is beneficial. Required Skills AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search Cloud & Integration: Microsoft Azure, API Management, Containers Identity & Security: Azure Entra ID, Key Vault, RBAC Observability & Governance: Logging, usage analytics, cost dashboards This is a platform ownership and coordination role, not a hands on model development position. Success is measured by adoption, safety, scalability, and sustainability of the AI platform. Works closely with architects and engineers while remaining accountable for cross-platform alignment. Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.