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 current 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.

Skills: ai,outsystems mentor,ai agent builder,outsystems

📌 AI Engineering Lead (India)
🏢 Papigen
📍 India