Job Description

Responsibilities :
Define the AI learning strategy and roadmap for engineering teams; establish role-based curricula and certification pathways.

• Design and deliver hands-on learning modules on Generative AI, Agentic workflows, orchestration fabrics, and MCP-based integrations.
• Develop practical labs and simulations that mirror real SDLC stages (discovery, design, build, test, deploy, operate).
• Operationalize training in projects: coach squads during sprints, embed AI tools into developer workflows, and track adoption.
• Curate and maintain high-quality training content (playbooks, videos, labs, assessments) aligned to evolving toolchains and policies.
• Drive responsible AI practices including privacy, security, guardrails, prompt safety, and LLM evaluation.
• Partner with delivery, product, and platform teams to align training with current projects, tech stacks, and compliance requirements.
• Establish metrics and dashboards for impact (usage, skill maturity, productivity, code quality, defect leakage, cycle time).
• Run communities of practice; mentor AI Champions/Coaches and scale enablement through train-the-trainer programs.
• Continuously assess new tools and methods; run pilots and incorporate learnings into updated curricula.

Preferred Skills :
Foundational->SDLC->Testing,Technology->Machine Learning->Generative AI
Educational Requirements :
Bachelor of Engineering
Service Line :
Global Delivery

Skills Required