AI Solution Architect J266
2 days ago
We're looking for an AI Solution Architect to design and build a multi-agent platform that automates SDLC artifacts (user stories, acceptance criteria, test cases, etc.) and integrates seamlessly with enterprise workflows.
What You'll Do
- Architect an enterprise-ready multi-agent AI system.
- Re-platform existing agents into secure infrastructure.
- Design how knowledge, documents, and context feed AI models (RAG, embeddings, retrieval).
- Define prompts, guardrails, evaluation methods, and quality controls.
- Work with engineering to shape APIs, workflows, and system integrations.
- Ensure security, governance, and alignment with Responsible AI standards.
What You Bring
- Strong LLM + RAG architecture experience.
- Deep knowledge of vector DBs, embeddings, prompt design, and agent workflows.
- Solid software architecture background (APIs, microservices, data pipelines).
- Experience building reliable, governed AI systems in enterprise environments.
- Ability to translate methodology and domain rules into structured AI logic.
Nice to Have
- LangChain/LangGraph/Semantic Kernel experience.
- Model fine tuning or MLOps background.
- Knowledge graphs/ontologies.
What do we offer you?
- Attractive salary
- Large freedom and real influence
- No unhealthy competition, team approach to meeting challenges
- Remote-first, flexible working culture
- Company apartments in cool cities across Europe: work and enjoy a memorable getaway
About Us
We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.
Job Type: Full-time
Pay: £45,000.00-£102,000.00 per year
Benefits:
- Work from home
Experience:
- AI Architecture: 6 years (required)
Work Location: Remote
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