Head of Ai Platform Engineering & Public Cloud

ABOUT OUR CLIENT

Our Client is a globally recognized organization operating within a highly complex and technology-driven enterprise environment. With a strong focus on innovation, modernization, and scalable technology solutions, the organization is investing heavily in enterprise AI enablement and cloud platform transformation. This is an opportunity to build and shape a critical enterprise capability from the ground up while partnering with senior technology and business leaders across the organization.

ABOUT THE ROLE

Our Client is seeking a strategic and technically credible technology leader to serve as Head of AI Platform Engineering & Public Cloud. This role will lead the evolution of the existing Public Cloud Platform team while building a net-new AI Platform Engineering function focused on enabling secure, scalable, and governed AI adoption across the enterprise. The ideal candidate brings a strong combination of enterprise leadership experience, platform engineering expertise, and AI governance knowledge. This leader will operate across a highly federated environment, influencing stakeholders, establishing operating models, and driving measurable outcomes in areas where structure and governance are still emerging.

RESPONSIBILITIES

Define and execute enterprise strategy for AI platform engineering and multi-cloud environments Build and scale a new AI Platform Engineering organization Lead and evolve the existing Public Cloud Platform Engineering team Establish enterprise AI guardrails, governance frameworks, and architectural standards Implement governance-by-engineering through policy-as-code and automated controls Partner closely with Information Security, Infrastructure, Data teams, and business technology stakeholders Define secure AI usage patterns, identity strategies, and secrets management approaches Establish model access controls, observability standards, and risk management frameworks Reduce fragmented and ungoverned AI usage through enterprise-supported tooling and standards Operate platforms as products with clear roadmaps, adoption metrics, and self-service capabilities Drive developer experience improvements through automation, APIs, templates, and platform tooling Enable AI-assisted development workflows and scalable engineering enablement practices Embed governance and compliance into tooling rather than manual processes Standardize identity, access management, and audit-ready telemetry practices Embed FinOps principles into platform capabilities and cloud consumption strategies Optimize cloud and AI cost-performance tradeoffs across enterprise environments Build high-performing engineering teams and define scalable operating models across federated organizations Influence stakeholders and drive outcomes without relying on direct authority

QUALIFICATIONS

Bachelor’s degree in Computer Science or related field, or equivalent practical experience 10+ years of experience in cloud, platform engineering, or AI environments 5+ years leading engineering or platform teams within enterprise organizations Proven experience building and scaling platform engineering capabilities Demonstrated success operating within complex, federated enterprise environments Strong technical credibility across cloud platforms and AI/LLM-based systems Experience implementing policy-as-code and governance automation frameworks Strong understanding of AI security risks, identity controls, and enterprise governance requirements Ability to establish direction and execute effectively in ambiguous environments Demonstrated experience influencing stakeholders and driving outcomes across cross-functional teams Experience partnering with Security, Infrastructure, Data, and business technology organizations

PREFERRED QUALIFICATIONS

Experience building enterprise AI platforms from the ground up Experience with internal developer platforms and platform-as-a-product operating models Familiarity with retrieval-augmented generation (RAG) and agentic AI workflows Experience with FinOps and cloud cost optimization strategies Exposure to SRE practices and modern platform engineering tooling Experience integrating AI and cloud capabilities into enterprise ecosystems Product‑minded leadership approach focused on adoption and measurable impact Strong systems thinking and enterprise change leadership capabilities Comfortable navigating emerging technologies and evolving organizational priorities #J-18808-Ljbffr Search Services