Head of Platform Engineering - AI-Native Platform
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About the Role
This is a hands on combining platform architecture, cloud and identity foundations, AI agent runtime environments, and enterprise technology ownership, delivered through a lean model of AI agents and specialist vendors rather than a large internal team.
Key Skills for This Role
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Overview
This is a hands on combining platform architecture, cloud and identity foundations, AI agent runtime environments, and enterprise technology ownership, delivered through a lean model of AI agents and specialist vendors rather than a large internal team.
Client Details
A high profile financial services environment in Abu Dhabi operating across multiple jurisdictions and business lines.
The organisation has a strong focus on technology, data and AI, with security positioned as a core enabler of its operating model.
Description
- Define and deliver the firm's technology platform strategy, co authoring the enterprise reference architecture
- Design and implement cloud, identity, and network foundations across a multi-entity environment
- Own the AI agent runtime and orchestration layer, ensuring agents can be securely deployed into business workflows
- Build the integration layer (APIs, iPaaS, MCP servers) enabling connectivity across systems and tools
- Establish observability, reliability, and incident response across platforms and services
- Lead DevOps, CI/CD, and secure engineering practices, aligned with cybersecurity standards
- Drive FinOps and cost management across cloud and AI inference usage
- Operate a lean delivery model leveraging AI agents, managed services, and vendor ecosystems
- Act as a key technology leader engaging with senior stakeholders and shaping firm-wide AI adoption
Profile
- 12+ years in platform engineering, cloud architecture, or enterprise technology leadership
- Strong hands on experience across cloud, identity, integration, and observability platforms
- Proven experience running production platforms at scale and making critical architectural decisions
- Experience building or operating AI/ML platforms, MLOps environments, or agent based systems
- Strong understanding of DevOps, CI/CD, and secure engineering practices
- Experience managing complex vendor ecosystems and managed service providers
- Background in financial services or other regulated environments is highly preferred
- Commercial mindset with experience in cloud cost optimisation and FinOps
- Strong stakeholder engagement skills with the ability to operate at senior leadership level
Job Offer
- Opportunity to build a greenfield, AI native technology platform
- Exposure to cutting edge AI operating models and agent-based delivery
- High visibility with senior leadership and direct influence on organisation-wide technology strategy
Desired Skills And Experience
mlops, finops, engineering, cloud, servers, infrastructure, AI, automation, agents, development, hands on, tech, platforms, users,
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