Senior Software Engineer - AI Lead - Asset Management

We have been mandated exclusively by one of our client, an important Asset Manager, for a Senior Software Engineer Role – AI Lead. In a dynamic team, they are building the future of the company ain terms of Technology and what they build sits on their data platform and increasingly uses AI. In terms of daily business, you will bring what keeps software alive after the demo: design, tests, observability, security, and the anti-patterns you have already paid for.

The person we are looking for is an Hands-on senior engineer who can work with the platform engineer, the data platform, and the portfolio managers and analysts who write their own code.

In terms of description of what will be the position, here are some details of what you will need to do:

• Ship. Work with portfolio managers, analysts and operations to take use cases to production. Small scope, production quality.
• Set the code standard. Strict type checking and linting as CI gates, contract tests at service boundaries, pinned dependencies with automated updates, mandatory review, decision records for choices that are hard to reverse.
• Own delivery for what the team ships. Infrastructure as code, CI/CD, container builds, environments, releases and rollback. The platform engineer owns accounts, clusters and networking; you own everything from the container image up.
• Build security into the pipeline. Secrets management, least-privilege IAM roles for the services you ship, dependency and code scanning, SBOM and signed artefacts, policy as code. Four-eyes approval on every production change, enforced by the pipeline. Changes to pipelines, policies and IAM reviewed by the security team; repository and CI admin rights sit outside the engineering team; production access is break-glass only, logged and reviewed after use.
• Assemble the shared AI components, adopting before building: LLM gateway (model access, data residency, logging, cost, evaluation hooks); retrieval with access control enforced at query time; agent runtime with tool calling and human-in-the-loop validation; prompt and configuration versioning.
• Make evaluation a release gate. Build and run evaluations with the AI engineers, and wire them into the pipeline so a failing evaluation blocks release.
• Run what you ship. Tracing, metrics, alerting, cost and drift monitoring.
• Review and pair. Design and code review, and pairing with early-career AI engineers who will often be ahead of you on AI craft; you are expected to be pulled forward. Templates and gateway access so AI tools built by the business run on the supported path.

We have been mandated exclusively by one of our client, an important Asset Manager, for a Senior Software Engineer Role – AI Lead. In a dynamic team, they are building the future of the company ain terms of Technology and what they build sits on their data platform and increasingly uses AI. In terms of daily business, you will bring what keeps software alive after the demo: design, tests, observability, security, and the anti-patterns you have already paid for.

The person we are looking for is an Hands-on senior engineer who can work with the platform engineer, the data platform, and the portfolio managers and analysts who write their own code.

In terms of description of what will be the position, here are some details of what you will need to do:

• Ship. Work with portfolio managers, analysts and operations to take use cases to production. Small scope, production quality.
• Set the code standard. Strict type checking and linting as CI gates, contract tests at service boundaries, pinned dependencies with automated updates, mandatory review, decision records for choices that are hard to reverse.
• Own delivery for what the team ships. Infrastructure as code, CI/CD,…