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Ai solution architect

Ourense
Ascendion
Publicada el Publicado hace 23 hr horas
Descripción

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

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