About the role

  • Lead GenAI & Agentic AI platform strategy for multiple clients at Capgemini Engineering. Driving adoption, managing operations, and advising on technological architecture.

Responsibilities

  • Own and define enterprise‑scale AIOps, GenAI, and Agentic AI platform strategy across multiple clients/accounts
  • Act as final technical authority for architecture, design reviews, risk mitigation, and production readiness
  • Lead operations and governance, including CAB ownership, platform stability, SLAs, KPIs, and continuous improvement
  • Drive industrialized adoption of GenAI & Agentic AI, converting PoCs into secure, scalable, production solutions delivering measurable business outcomes
  • Lead, mentor, and manage multi‑location AI/Automation teams while advising senior stakeholders and supporting presales and roadmap decisions

Requirements

  • Overall 12-14 Years GenAI & Agentic AI: Azure OpenAI / AWS Bedrock, LLMs, RAG, prompt engineering, autonomous/semi‑autonomous agents
  • AIOps & Automation: UiPath / Automation Anywhere / Power Automate with strong architecture and governance experience
  • Operations & ITIL: CAB ownership, Incident/Problem/Change/Knowledge Management, SLAs, MTTR, cost optimization
  • Programming & Platforms: Python (mandatory), REST APIs, ITSM (ServiceNow), cloud platforms (Azure & AWS)
  • Leadership & Stakeholder Management: Strong people management, CXO communication, business translation, and ops‑first decision making

Benefits

  • Comprehensive wellness benefits including health checks
  • Telemedicine
  • Insurance with top-ups
  • Elder care
  • Partner coverage
  • New parent support via flexible work

Job title

GenAI & Agentic AI Engineer – Lead

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job