AI Solution Architect

Hydro Global Business Services (GBS) is an organizational area that operates as an internal service provider for the Hydro group. Its ultimate purpose is to deliver relevant IT, financial and HR business services to all business areas within the company.

Role purpose

We are looking for an AI Solution Architect who can design end-to-end AI and Generative AI solutions and guide them from business discovery to production readiness.
The role requires strong enterprise solution architecture, modern software engineering, and practical understanding of Generative AI, Machine Learning, agentic AI patterns, and AI-enabled business applications. The AI Solution Architect will work with business stakeholders, product owners, domain experts, engineers, data specialists, cloud, security, and operations teams to translate business needs into scalable, secure, maintainable, and measurable AI solutions.
The ideal candidate understands both high-level architecture and practical implementation aspects, including APIs, integrations, UI flows, data pipelines, RAG, vector search, tool/function calling, agentic workflows, evaluation, observability, and production operations.
The role also requires awareness of emerging AI trends, including agentic AI, agent harnesses, multi-agent patterns, LLM evaluation, AI-assisted software development, and coding agents such as Codex and Claude Code.Computer Vision experience is a strong plus.

Key responsibilities

• Discovery & Shaping: Lead stakeholder workshops, translate business needs into MVP scopes, and map out scalable implementation roadmaps.

• End-to-End Architecture: Design and document (C4 diagrams, API contracts) robust cloud architectures covering application, data, and LLM layers.

• Advanced AI Design: Build cutting-edge GenAI and Agentic systems using RAG, embeddings, multi-agent orchestration, and context/memory management.

• Technical Leadership: Guide cross-functional delivery teams (DevOps, MLOps, Data), unblock technical issues, and champion clean code and Git-based workflows.

• Security & LLMOps: Implement security-by-design, safety evaluation harnesses (hallucination checks, prompt injection defense), and automated testing.

What will make you successful?

• Experience: 7+ years in IT/Software Engineering, including 5+ years in Solution Architecture or technical leadership, with a track record of delivering enterprise-grade AI, cloud, or automation solutions.

• Education: Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or a related field (or equivalent practical experience).