Senior Forward Deployed AI Engineer

About the role

This is an opportunity to reinvent Investment Banking Research through AI. You will work on high impact AI engagements with senior stakeholders, building solutions that have the potential to become defining achievements of your career.

Responsibilities

• Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
• Design analytics and modelling solutions to complex business problems using domain expertise
• Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
• Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
• Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
• Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
• Ensure all development activities are undertaken within the defined control environment

Requirements

• Considerable Python engineering skills, including building and deploying production-grade APIs using FastAPI or Flask
• Experience designing and building agentic AI applications using frameworks such as LangChain, CrewAI, AutoGen, or similar
• Deep experience developing RAG solutions, including vector databases, semantic search, reranking, and retrieval optimization
• Ample understanding of MCPs, FastMCP, tool calling, and agent orchestration patterns
• Experience deploying scalable cloud-native applications on AWS using services such as ECS/EKS, Lambda, Bedrock, and Docker

Preferred skills

• Experience operating AI systems in production, including AgentOps, CI/CD, monitoring, evaluation, and optimisation
• Considerable stakeholder engagement skills, with the ability to translate highly detailed business tasks into technical solutions
• Understanding of, or considerable interest in, Investment Banking Research workflows and financial data platforms
• Experience with M365 Copilot, Copilot Studio, AWS AgentCore, or related AI platforms
• A pragmatic builder mindset with a bias for rapid iteration, be trusted with, and delivering measurable business impact

Pay

Minimum Salary: $150,000 Maximum Salary: $200,000. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Benefits

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances. This position is eligible for an incentive award.

Schedule

This role is located in our Whippany, NJ office.