AI Solution Architect

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.

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

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

• 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.

• 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).

• AI & Data Tech Stack:

  • Deep practical knowledge of GenAI & Agentic Architecture (RAG, vector databases, multi-agent orchestration, tool calling, LLM evaluation, and safety guardrails).

  • Core data engineering proficiency (data modeling, pipelines, relational/NoSQL).

  • Python programming skills; familiarity with cloud-native stacks (Azure preferred — Azure OpenAI, AI Search).

  • Pluses: Computer Vision (OCR, object detection) and frontend basics (React/Angular).

• Architecture & Delivery: Strong foundation in backend systems, secure API/modular design, distributed integration patterns, Agile delivery, and DevOps/MLOps/LLMOps pipelines (CI/CD, versioning, monitoring).

• Documentation & Safety: Experience creating clear C4 diagrams, technical specs, and runbooks while enforcing responsible AI, privacy, and security-by-design.