Addition
Senior AI Platform Engineer or Principal AI Platform Engineer
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AI Platform Engineer – Contract
We’re supporting a major AI platform programme within a high-traffic, highly regulated environment. This is a chance to help build the shared infrastructure that takes AI from isolated experiments to secure, scalable production services used across an engineering organisation.
Role Overview
- Location: Remote, with occasional travel to client site
- Package: Contract – rate, duration and IR35 status discussed at initial stage
- Industry: AI / Technology / Regulated Consumer Services
- Level: Senior & Principal opportunities available
What You’ll Be Doing
- Build and evolve the gateway and routing layer connecting engineering teams with multiple LLM providers, including resilient failover and load-shedding.
- Develop reusable AI platform capabilities that allow product teams to register, discover and deploy services and agents without rebuilding common functionality.
- Design APIs, versioning and promotion workflows that support the journey from experimentation through to production.
- Implement robust access controls using RBAC and OIDC, alongside secure API key management and rotation.
- Improve inference performance through caching, intelligent routing, latency management and cost optimisation.
- Create clear cost attribution and adoption metrics so teams understand how AI capabilities are being used and where they’re delivering value.
- Build governance, auditability and safety controls directly into the platform rather than treating them as an afterthought.
- Establish strong engineering practices around automated testing, observability, documentation, evaluations and fallback behaviour.
- Work closely with client engineers, architects and technical leaders to shape platform decisions and challenge approaches where needed.
- Balance technical quality with commercial realities, explaining architecture decisions through cost, risk and delivery impact.
- Take ownership of delivery, managing priorities, estimates, changing requirements and technical risks.
- Produce practical architecture records, runbooks and API documentation that enable the client’s engineers to operate the platform independently.
- Support knowledge transfer through pairing, code reviews and collaborative delivery from the beginning of the engagement.
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Main Skills Needed
- Strong production engineering experience with Python or Go, including building and supporting services in live environments.
- Hands-on experience with API gateway technology such as Kong, Envoy or Apigee.
- Practical experience integrating multiple LLM providers such as Anthropic, AWS Bedrock, OpenAI or similar.
- Understanding of LLM routing, resilience, provider failover and production inference workloads.
- Strong knowledge of AWS, Terraform, containers, CI/CD and observability.
- Experience implementing RBAC, OIDC and API key lifecycle management.
- Knowledge of caching, latency optimisation and cost management within high-throughput systems.
- Familiarity with MCP, service registries, tool discovery or similar capability-management patterns would be valuable.
- Comfortable working in regulated environments where security, auditability, privacy and governance are central to engineering decisions.
- Strong consulting skills, with the confidence to join an established engineering organisation and become productive quickly.
- Clear communication skills and the ability to explain technical trade-offs to both engineering and senior stakeholders.
- For Senior-level roles, experience owning substantial platform components and setting engineering standards.
- For Principal-level roles, proven architectural leadership and the credibility to set technical direction with senior client stakeholders.
- AWS, Terraform or relevant Machine Learning / GenAI certifications are useful, but practical delivery experience matters more.
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What’s in It for You
- Work on a large-scale AI platform designed for genuine production use rather than proof-of-concept experimentation.
- Exposure to multi-provider LLM architecture, orchestration, governance and platform engineering at scale.
- The opportunity to influence how AI capabilities are adopted across a major engineering organisation.
- A largely remote contract with flexibility around where you work, alongside occasional client-site collaboration.
- Clear ownership and responsibility based on your level, from hands-on platform delivery through to architecture and technical direction.
- Work alongside experienced engineers while helping the client build the capability to own and operate the platform long term.
- A streamlined two-stage hiring process designed to move quickly for contractors.
Big plans. Big impact. Ready to be part of it?
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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