We are seeking a hands-on AI Solution Architect to lead feature-level execution within our Agentic Software Development Lifecycle (SDLC). This role uniquely blends Product Ownership and Solution Architecture, ensuring seamless collaboration between AI agents and engineering teams. You will orchestrate daily agent workflows, refine prompts, manage technical dependencies, and validate AI-generated outputs before production release.
You are accountable for transforming strategic intent into shipped, production-ready AI-assisted features.
Key Responsibilities
1️⃣ Agentic Workflow Orchestration
Drive daily execution of Agentic flows across Inception, Construction, and Production phases
Coordinate AI agents to ensure structured, high-quality handoffs
Configure, test, and continuously refine prompts and tools
Identify friction points and optimize multi-agent collaboration
2️⃣ Feature Ownership
Translate roadmap initiatives into structured, feature-level requirements
Own and prioritize the domain backlog
Define acceptance criteria for AI-generated deliverables
Review and validate AI-generated refactoring plans and feature packages
3️⃣ Agile Delivery Leadership
Facilitate sprint planning, stand-ups, reviews, and retrospectives
Manage cross-functional dependencies
Monitor milestones and ensure production readiness
Lead gate reviews and feature demos prior to release
4️⃣ Human-in-the-Loop Governance
Serve as the final reviewer of critical AI outputs
Enforce architectural, security, and quality standards
Escalate integration risks in brownfield and legacy environments
✅ Required Experience
Essential
Proven experience as AI Solution Architect, Technical Product Owner, or similar hybrid role
Experience working with LLM-based agents or AI-assisted development environments
Strong understanding of Agile and end-to-end SDLC execution
Ability to structure prompts and critically validate AI-generated results
Strong Technical Plus
Ability to read and write code (Java, Python, scripting preferred)
Experience troubleshooting AI-generated outputs during development
Understanding of CI/CD pipelines and observability tooling