AI Engineering and Delivery Lead
Trans.eu
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
Vacancy posted 1 day ago
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