Descripción de la oferta
We are seeking a hands-on AI Solution Architect to lead feature-level execution within our Agentic Software Development Lifecycle (SDLC) .Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.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 ResponsibilitiesAgentic 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 collaborationFeature 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 packagesAgile 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 releaseHuman-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 environmentsRequired ExperienceEssential xcskxlj - 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 resultsStrong 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
