AI Lead Architect / AI Program Lead / AI Champion
Job Summary: We are seeking an AI Lead Architect / Program Lead / AI Champion to drive the setup, execution, and optimization of AI-native software engineering (Agentic SDLC) across enterprise engagements. This hands-on leadership role combines software architecture with agentic delivery expertise to guide teams from traditional to AI-native SDLC.
Responsibilities
Program Planning &
Operating Model: Assess AI readiness across SDLC; define Agentic SDLC roadmaps, autonomy levels, quality thresholds, and human-in-the-loop controls.
Harness Architecture &
Setup: Lead design, configuration, and setup of the AI engineering harness for client programs.
Agent &
Context Engineering: Continuously optimize agent capabilities, context engineering, orchestration, and tools.
Software Engineering Execution: Transition traditional SDLC into seamless human + agent cooperative workflows.
Troubleshooting &
Optimization: Diagnose root causes of poor agent outputs and tune intent, context, skills, or orchestration.
Quality, Speed &
Evaluation:
Establish continuous feedback loops (Observe →
Diagnose →
Tune →
Measure) and evaluation frameworks.
Client Collaboration &
Governance: Advise CIO/CTO offices, ensure security/responsible AI compliance, and upskill teams.
Mandatory Skills
Solid background in software &
AI engineering, enterprise architecture, Agile, CI/CD, and DevOps.
Hands-on experience with AI harnesses, coding agents, context engineering, RAG, MCP, and AI tools (e.g., Claude, Kiro).
Ability to diagnose/tune AI systems beyond black-box usage.
Robust consulting, stakeholder management, and cross-functional leadership skills.
Preferred Skills
Experience with specialized agents, evaluation frameworks, and AI Centers of Excellence (CoEs).
Experience in cloud platforms, app modernization, and regulated industries (banking, telecom).
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
📌 Architect Chennai (India)
🏢 Virtusa
📍 India