AI Engineering and Delivery Lead

Overview:

Must Have Technical/Functional Skills

• End-to-end AI lifecycle delivery

• DevSecOps + AI Ops + LLM Ops expertise

• AI platform & internal developer platform (IDP) experience

• AI SDLC / ADLC process design & governance Greenfield enterprise AI ecosystem build

• Strong delivery leadership & executive stakeholder management

Roles & Responsibilities

Define and operationalize end-to-end AI engineering and delivery lifecycle

Build and lead AI delivery organization across engineering and operations

Establish and track engineering and DevSecOps KPIs

Implement AI SDLC / ADLC processes and standards

Select and standardize AI tools, platforms, and frameworks

Align engineering practices with enterprise architecture standards

Ensure compliance with AI governance, security, and risk requirements

Establish and scale agile / pod-based delivery teams

Drive DevSecOps, AI Ops, and LLM Ops adoption

Enable platform-driven engineering with reusable components

Identify and resolve delivery bottlenecks

Drive fast, iterative, outcome-focused delivery execution

Engage with executive stakeholders and cross-functional teams

Skills:

Artificial Intelligence