Vacancy description
AI Engineering Lead in India, भारत
Papigen
Rs 15 - 24 lakhs p.a.
India, भारत
Role Overview
The AI Engineering Lead will establish and drive AI-first engineering practices across multiple development teams, ensuring engineers use approved agentic AI tools effectively, securely, and consistently.
The role combines strong OutSystems technical expertise with hands-on agentic coding experience, engineering standards, human review controls, CI/CD quality gates, team coaching, and measurement of AI-driven productivity and quality.
Key Responsibilities
Define AI-first engineering standards, playbooks, prompt/context libraries, and agent rules.
Establish mandatory human review gates and Definition of Done requirements for AI-generated code, tests, and documentation.
Drive adoption of agentic coding tools across OutSystems teams.
Integrate AI-related quality checks into CI/CD pipelines.
Coach developers and technical leads on AI-assisted engineering practices.
Develop and execute AI upskilling and enablement plans.
Track AI adoption, delivery improvement, rework, defect rates, and review effort.
Establish feedback loops to improve prompts, agent workflows, engineering standards, and output quality.
Mandatory Skills & Experience
8+ years of overall experience, including 5+ years of OutSystems experience.
Strong OutSystems architecture and development knowledge.
At least 1.5 years of hands-on AI-assisted delivery using agentic coding tools.
Expert practical experience with tools such as Claude Code, Codex, or Cursor, preferably within OutSystems projects.
Experience defining and implementing AI engineering standards for a team or multiple teams.
Experience establishing code-review standards, quality gates, and Definition of Done requirements for AI-generated output.
Knowledge of CI/CD integration and automated quality checks.
Experience coaching developers and driving engineering adoption of new tools or practices.
Ability to measure AI adoption, productivity, rework, and defects using meaningful delivery metrics.
Understanding of secure AI-assisted development and alignment with organizational AI policies.
Preferred Skills
OutSystems MCP integration and Model Context Protocol.
OutSystems Mentor or AI Agent Builder.
Experience rolling out AI engineering practices across multiple distributed teams.
Experience measuring AI-assisted development outcomes using CI/CD and engineering data.