Associate Director, Applied AI Platform Engineering (PxE Platforms)

As an Associate Director, Applied AI Platform Engineering , you will set the engineering vision and technical direction for the Applied AI engineering platform-the frameworks, tooling, control plane, and data platform that every other engineering team builds on-treating the platform as a product and solving recurring problems once, well, for many teams.

Leading across teams and product groups, you will stay hands-on in your craft-shaping architecture, design, and code-while driving the golden paths, reusable components, and governed, self-service capabilities that engineering teams depend on.

Your leadership will be pivotal in delivering tangible leverage and value across Deloitte's AI engineering investments, maximizing reuse and reducing per-team toil, and advancing Applied AI platform engineering across the organization.

You will bring extensive engineering craftsmanship and deep expertise across platform engineering, distributed systems, and modern AI/ML and data infrastructure, together with an exemplary track record of high-quality, reusable, outcome-focused delivery at scale.

The ideal candidate is a role-model engineering leader who leads by doing -setting vision, elevating standards, developing engineers and emerging leaders, and building trusted relationships with stakeholders from engineering teams to executives.

Work You'll Do:


* Strategic Vision and Alignment: Craft and articulate a vision for the Applied AI engineering platform-the frameworks, tooling, accelerators, control plane, and data platform that every other engineering team builds on-in alignment with the Business Strategy and US Deloitte Technology strategy.

Treat the platform as a product, mapping the needs of consuming engineering teams to reusable, self-service capabilities.

Collaborate with diverse stakeholders across product, engineering, SRE, security and risk, data governance, and infrastructure at all organizational levels.


* Advocacy and Technology Roadmap: Advocate for, develop, and communicate the integrated platform engineering strategy and its implementation roadmap, positioning the platform as a product to the engineering teams who consume it and to business stakeholders.

Ensure the organization is well-informed about objectives, KPIs, adoption, maturity, compliance, and progress.

Promote a culture of reuse, quality, and speed-solving recurring problems once, well, for many teams to reduce per-team build and operate toil, maximize engineering leverage, and minimize total cost of ownership.


* Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of platform KPIs and NFRs-adoption, reliability-by-design, developer experience, performance, scalability, and security.

Establish and evolve platform reference architectures, golden paths, and reusable components-including the AI control plane (with the model/LLM gateway) and agent-runtime patterns, MLOps/LLMOps tooling, model serving, retrieval and vector infrastructu...