Talent · Forward Deployed
AI Solutions Architect
A senior engineer who decides how AI fits your existing systems: which models, where data lives, security, cost and integration, written up so your team can maintain it.
What they do
- Reviews your systems, data and constraints
- Picks the model, hosting and design for each use case
- Plans for privacy, security, cost and speed before any build
- Reviews what delivery pods build, for quality and consistency
- Writes reference designs your teams can reuse on later projects
When to bring one in
- You have several AI use cases planned and want them built one way
- Security or data residency rules limit which models you can use
- Your monthly AI bill is high or hard to predict
- You want a second opinion on an AI design
Specification
- Core skills
- Solution architecture, LLM and agent patterns, Cloud AI platforms, Security and privacy design, Cost modelling, Technical leadership
- Tools
- Azure AI Foundry, AWS Bedrock, Google Vertex AI, Claude, OpenAI, Gemini, Llama, Kubernetes, Terraform
Seniority
Senior8+ years
Architect for a programme of related use cases
Principal12+ years
AI architecture and governance across the organisation
Request
Request an AI Solutions Architect
Tell us about the project, stack and domain. We will share matched profiles, usually within one to two weeks.
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Tell us what you are trying to build.
Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.
Or get a ballpark proposal in two minutes
A specialist replies within one working day. The first conversation is free.