Applied AI Manager
On-siteLondon, England, United Kingdom
Job Summary
Lead the design and delivery of complex ML and GenAI systems, guiding the team across the full AI lifecycle from experimentation through deployment and monitoring. Drive architectural decisions for data-intensive applications that extract structure from unstructured financial documents like credit agreements and indentures, ensuring models operate on structured finance data where logic errors have real financial consequences. Mentor engineers across levels and collaborate cross-functionally with Product, Data, and Business teams to champion AI adoption and influence company-wide technology strategy.
Required Qualifications
- Proven experience leading engineering teams in a fast-paced, high-growth environment
- Solid understanding of structured finance: loan tapes, cash flow waterfalls, ABS/CLO structures, and priority of payments
- Strong software engineering skills (Python preferred)
- Deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure
- Hands-on experience building and deploying ML/GenAI systems in production within finance, legal, or other high-complexity, data-heavy domains
- Ability to lead architectural discussions and technical trade-offs without losing sight of the details
- Familiarity with cloud infrastructure (AWS preferred) and modern MLOps practices
- Commitment to people development: mentoring, performance conversations, and building high-performing teams
Desired Qualifications
- experience with NLP on financial contracts
- RAG or LLM-based applications on structured data
- large-scale loan data pipelines
- containerization tooling (Docker, Kubernetes, Terraform)
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