What you'll be doing
- Designing end-to-end architectures for agent and workflow automation
- Selecting appropriate models, orchestration patterns, data sources and integration approaches
- Defining the boundaries between deterministic software, probabilistic AI and human decision-making
- Addressing identity, permissions, data protection, resilience, observability and cost from day one not bolted on later
- Designing evaluation, fallback, escalation and human-in-the-loop mechanisms
- Producing architecture decisions, patterns and reusable reference designs
- Reviewing implementations and guiding engineering teams through significant technical decisions
- Making sure solutions align with wider enterprise architecture and governance requirements
What we're looking for
- A hands-on architect with strong cloud, integration and distributed-systems experience
- Practical, real knowledge of LLMs, agents, retrieval and evaluation – not just conceptual familiarity
- A problem-solver mindset with a clear memory of what architectural approaches have worked (and what hasn't) across different businesses
- Comfort working across multiple business areas rather than one narrow domain
- MBB consulting background (McKinsey, Bain, BCG) is a strong plus
How this works
- Open to contract or permanent hire
- UK-based candidates: ideally on-site 3 days a week in London
- Candidates based outside the UK: on-site 3 days every fortnight, with flights and accommodation covered for the right candidate with consulting-firm pedigree
- All contract engagements sit inside the scope of IR35
Industry:
AI & Machine Learning
Seniority Level:
Not Specified