Gen AI Lead

Job Title


Role Overview


Key Responsibilities

• Platform Ownership Architecture
  • Define and own the GenAI platform reference architecture.
  • Build reusable platform components enabling teams to:
    • Access LLMs securely
    • Use enterprise data safely
    • Implement guardrails and evaluations consistently
  • Establish and enforce standards, best practices, and guardrails for GenAI adoption.
• Engineering Delivery Leadership
  • Lead and mentor platform engineers delivering LLM-powered services at scale.
  • Perform technical impact analysis considering:
    • Compute cost
    • Token usage
    • Scalability
    • Governance requirements
  • Drive high code quality via:
    • Code reviews
    • Design reviews
    • Testing discipline
  • Lead large-scale refactoring and modernization efforts.
• Governance, Reliability Operations
  • Proactively manage:
    • Security vulnerabilities
    • AI risks (hallucinations, leakage, bias)
    • Platform SLAs and cost controls
  • Lead root cause analysis for platform or AI-related incidents.
  • Ensure continuous alignment with evolving GenAI and cloud best practices.

Nice to Have

• Experience building internal developer platforms or AI platforms.
• Exposure to RBAC, multi-tenancy, and enterprise authorization patterns.
• Familiarity with Angular/React to align AI platform capabilities with UX.
• Experience with evaluation frameworks (offline/online evals, golden datasets).
• Exposure to enterprise compliance and audit requirements for AI systems.

Required Qualifications

• 9+ yrs Gen AI Engineer, Python, Flask/Fast API, Any RDBMS.

Good to Have

• Gen AI Certification
• Scrum Agile Methodology

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