Head of Platform Engineering - AI-Native Platform

Omanyp; Abu Dhabi; On-site; AED 350,000 - 450,000; Full time

Job summary

Omanyp is seeking a technology leader in Abu Dhabi to define and implement a robust technology platform strategy. This role involves significant responsibilities including cloud architecture, AI integration, and stakeholder engagement.

The ideal candidate will have over 12 years of experience in platform engineering, with a strong focus on security and financial services. The position is pivotal for driving AI adoption within the organization.

Qualifications

• 12+ years in platform engineering, cloud architecture, or enterprise technology leadership.
• Strong hands-on experience across cloud, identity, integration, and observability platforms.
• Experience managing complex vendor ecosystems and managed service providers.

Responsibilities

• Define and deliver the firm's technology platform strategy.
• Design and implement cloud, identity, and network foundations.
• Own the AI agent runtime and orchestration layer.

Skills

Platform engineering

Cloud architecture

DevOps

AI/ML platforms

Stakeholder engagement

Job description

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.

Responsibilities

• 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

Qualifications

• 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