Solution Architect — AI Systems

Envion Software; Greater London; Hybrid; GBP 85,000 - 110,000; Full time

Benefits offered by this job

Learning budget

Transparent compensation

Paid time off

Job summary

Envion Software, based in London, is seeking a seasoned production AI architect with a focus on grounded assistants, agentic workflows, evaluation harnesses, and governance controls. The role is London, remote-friendly, full-time, and offers a clear platform for shaping AI delivery across engagements.

We value strong architecture, production experience with AI/LLM systems, and the ability to communicate with both technical and business stakeholders.

Qualifications

• Shipped AI/LLM systems in production.
• Strong software architecture background.
• Experience with retrieval, embeddings, orchestration frameworks, and evals.
• Clear communication with technical and business stakeholders.

Responsibilities

• Design production AI systems: RAG pipelines, agent workflows, tool integrations.
• Define evaluation, monitoring, and rollback strategies for AI features.
• Advise clients on model selection, vendor trade-offs, and build-vs-buy decisions.
• Set security and governance guardrails for AI delivery across engagements.

Skills

Software architecture

AI/LLM systems

Production systems

RAG pipelines

Tool integrations

Tools

Orchestration frameworks

Embeddings

Job description

London, UK (remote-friendly) Full-time 7+ years £85,000–110,000 gross

A specialized architecture role focused on production AI: grounded assistants, agentic workflows, evaluation harnesses, and the governance controls that make them safe to run.

• Design production AI systems: RAG pipelines, agent workflows, tool integrations.
• Define evaluation, monitoring, and rollback strategies for AI features.
• Advise clients on model selection, vendor trade-offs, and build-vs-buy decisions.
• Set security and governance guardrails for AI delivery across engagements.

02 What we expect

• Strong software architecture background with shipped AI/LLM systems in production.
• Hands-on experience with retrieval, embeddings, orchestration frameworks, and evals.
• Clear communication with both technical teams and business stakeholders.
• A skeptical, evidence-first mindset about AI capabilities and limits.

03 Nice to have

• Experience in regulated industries or high-stakes operational settings.
• Familiarity with LLM security risks and mitigation patterns.
• Cloud certifications (AWS/Azure) or equivalent demonstrated experience.

04 What we offer

• Work on genuinely varied AI problems across multiple industries.
• Influence on how Envion delivers AI — standards, tooling, and practice.
• Transparent compensation, paid time off, and a learning budget.
• A pragmatic team that ships working systems, not demos.