At a Glance
- Tasks: Lead the development and governance of an enterprise AI platform for innovative solutions.
- Company: Join Barings, a forward-thinking financial services firm with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a team that values innovation and responsible AI practices.
- Why this job: Shape the future of AI in a dynamic environment while ensuring safety and compliance.
- Qualifications: Experience in managing enterprise technology platforms and strong coordination skills.
The predicted salary is between 100000 - 150000 £ per year.
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.
Director, AI Platform Owner in London employer: Barings LLC
Barings is an exceptional employer, offering a dynamic work environment in London or Charlotte where innovation meets responsibility. With a strong focus on employee growth and development, we provide opportunities to lead cutting-edge AI initiatives while ensuring a culture of collaboration and inclusivity. Our commitment to responsible AI practices and regulatory compliance empowers our team members to thrive in their roles, making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Director, AI Platform Owner in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its AI initiatives. Show them you’re not just another candidate; you’re genuinely interested in their mission and how you can contribute.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role of AI Platform Owner. Highlight your coordination skills and understanding of AI platforms to stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Director, AI Platform Owner in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI platforms and cross-team coordination. We want to see how your skills align with the role of AI Platform Manager, so don’t hold back!
Showcase Your Experience:When detailing your past roles, focus on your experience in managing enterprise technology platforms and any work you've done in regulated environments. We love seeing concrete examples of how you've driven platform adoption and governance.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, clarity is key when discussing complex topics like AI and platform management!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Barings LLC
✨Know Your AI Platforms
Make sure you’re well-versed in the specific AI platforms mentioned in the job description, like Microsoft 365 Copilot and Azure AI Foundry. Brush up on their functionalities and how they integrate within a hybrid ecosystem, as this will show your understanding of the role's requirements.
✨Showcase Your Coordination Skills
Prepare examples that highlight your experience in cross-team coordination, especially in complex environments. Think about times when you successfully aligned multiple stakeholders or managed diverse teams to achieve a common goal, as this is crucial for the position.
✨Understand Governance and Compliance
Familiarise yourself with responsible AI practices and regulatory frameworks relevant to the financial services sector. Be ready to discuss how you’ve ensured compliance and governance in past roles, as this will demonstrate your capability to manage the platform’s lifecycle effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in managing an AI platform. Think through potential challenges you might face in platform ownership and how you would address them, particularly around cost management and usage monitoring.
