AI Engineer

The Role

We are looking for an experienced consultant who can design the architecture, build working systems, and take them from demo to a scaled, governed deployment inside a regulated financial institution. This is a hands-on build role, not an advisory one. The successful candidate will combine practical agentic AI engineering with knowledge graph and entity-resolution experience, and will be comfortable operating within a bank’s control environment.

Key Responsibilities

Architecture design

• - Design and deploy agentic AI workflows to automate investment sourcing, market research, due diligence and document generation.
• - Design and maintain a venture intelligence knowledge graph covering companies, founders, investors and transactions.
• - Define AI architecture, data governance, provenance and quality standards across internal and external data sources.

Agent development

• - Develop AI agents to analyse companies, markets and investment opportunities using structured and unstructured data.
• - Build automated diligence workflows that extract, validate and synthesise information from pitch decks, financials, research reports and industry databases.
• - Develop portfolio intelligence capabilities to monitor performance, financing activity, competitive developments and strategic risks.
• - Integrate with approved internal and external data sources, including CRM, market data and portfolio management platforms.

Production and governance

• - Deploy and optimise RAG, agent orchestration and knowledge graph services within the bank’s approved technology environment.
• - Implement monitoring and evaluation frameworks covering accuracy, quality, cost and operational performance.
• - Ensure solutions are secure, auditable and reproducible.

Experience and Profile

• - Strong experience in software, AI or data engineering, including the design and delivery of production-grade solutions.
• - Proven track record of building and deploying agentic AI systems in production environments.
• - Strong Python development and API integration experience.
• - Experience with knowledge graphs, semantic search and retrieval systems.
• - Familiarity with MCP and related tool integration standards.
• - Experience deploying solutions on AWS or GCP.

Benefits

We offer a competitive salary. Our benefits package is designed to support your wellbeing and development. This includes:

• - Group Life Assurance
• - Virtual GP and Online Physiotherapy
• - Confidential Helpline/Employee Assistance Programme
• - Wellbeing Studio & Digital Gym
• - Discounted shopping cards, e-vouchers & cashback offers
• - Percentage discounts & savings on brands online & in store
• - Statutory pension contribution - salary exchange scheme
• - 30 days annual leave, including UK Bank Holidays