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Director, AI Platform Manager / AI Platform Owner
About the Role
At Barings, we invest in our people as much as in our clients. We recognise those who demonstrate excellence in diligence, professional integrity, communication skills, technical expertise, and unwavering commitment to our clients. We invite you to explore our current opportunities with our Global Technology team.
Business Unit & Location
- Business Unit: Global Technology
- Locations: London, UK or Charlotte, NC
Barings is a leading global financial services firm, dedicated to meeting the evolving investment and capital needs of clients and customers. As a subsidiary of MassMutual, we operate a strong global presence with professionals across North America, Europe, and Asia Pacific.
Job Summary
Barings is establishing an enterprise AI platform to enable the safe, scalable, and governed adoption of AI agents and AI-powered solutions across the organisation. We are seeking an AI Platform Manager to own the end-to-end operation, evolution, and governance of this platform as it transitions into adoption and scale.
This role is accountable for platform coherence in a hybrid ecosystem, including multiple AI development and runtime platforms, both Microsoft-native and approved third-party tools. The AI Platform Manager will act as the central collaborator across cloud, data, integration, security, identity, and application platforms, ensuring alignment with the enterprise AI reference architecture, governance frameworks, and regulatory compliance.
The ideal candidate will combine platform ownership, stakeholder coordination, and pragmatic delivery leadership, allowing teams to leverage AI capabilities without compromising security, cost efficiency, or compliance.
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Primary Responsibilities
- Own the end-to-end AI platform lifecycle, including roadmap, operational model, adoption strategy, and continuous improvement—aligned with 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 ecosystem spanning Microsoft-native platforms and approved third-party AI tools.
- Define and implement platform guardrails covering:
- Access control & cost management
- Usage monitoring & model selection
- Tool onboarding & lifecycle management
- Ensure responsible AI, regulatory alignment, and audit readiness in partnership with enterprise risk and compliance teams.
- Oversee AI gateway & control-plane capabilities, including:
- Usage tracking & rate limiting
- Observability & logging
- Chargeback & cost allocation mechanisms
- Establish clear RACI models for platform ownership vs. domain ownership.
- Enable safe self-service AI development across low-code and pro-code tooling.
- Own platform standards, documentation, and onboarding playbooks.
- Support demand management, prioritisation, and platform fit assessment for AI use cases.
Qualifications
Essential Experience
- Experience owning or operating enterprise technology platforms.
- Cross-team coordination skills in complex, regulated environments.
- Deep understanding of AI platforms, agent-based architectures, and AI services.
- Experience in governance-heavy or regulated industries (e.g., finance, asset management).
- Knowledge of platform cost management, usage monitoring, and chargeback models.
- Strong communication & stakeholder management abilities.
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Preferred Technical Expertise
- Microsoft AI Ecosystem:
- Microsoft 365 Copilot
- Copilot Studio
- Azure AI Foundry
- Databricks
- Data & MLOps:
- Azure SQL, ADLS, Azure AI Search
- Cloud & Integration:
- Microsoft Azure, API Management, Containers
- Identity & Security:
- Azure Entra ID, Key Vault, RBAC
- Observability & Governance:
- Platform logging, usage analytics, cost dashboards
Additional Skills
- Familiarity with enterprise-scale operating models and shared services environments.
- Experience in regulated industries, particularly financial services or asset management.
- Zero-trust architecture & identity-centric access controls knowledge.
- Understanding of Responsible AI, data classification, and AI risk management.
- Platform observability & usage analytics experience.
Key Differentiators
This role is platform ownership and coordination-focused, not hands-on AI model development. Success is measured by:
- Adoption of AI capabilities across the organisation
- Security & safety of platform operations
- Scalability & sustainability of the platform
- Alignment across architects, engineers, and domain teams
No code samples or examples are requested in the application process—this is a strategic and operational leadership role.
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