Senior Forward Deployed AI Engineer

About the Role

Embark on a transformative journey as a Senior Forward Deployed AI Engineer at Barclays, where you will redefine the future of banking and craft innovative AI solutions for Investment Banking Research. This role offers the opportunity to work on high-impact AI engagements with senior stakeholders, building solutions that could 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 modeling solutions to complex business problems using domain expertise.
• Collaborate with technology teams to specify dependencies required for analytical solutions, such as data, development environments, and tools.
• Develop high-performing, comprehensively documented analytics and modeling 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 teams to operationalize them.
• Provide ongoing support for the continued effectiveness of analytics and modeling solutions.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly the Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.
• Contribute to or set strategy, drive requirements, and make recommendations for change.
• Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements, and escalate breaches of policies/procedures.
• Advise key stakeholders, including functional leadership teams and senior management, on functional and cross-functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Collaborate with other areas of the business to keep up to speed with business activity and strategies.
• Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives.
• Adopt and include the outcomes of extensive research in problem-solving processes.
• Build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives.

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.

Qualifications

Other highly valued skills include:

• Experience operating AI systems in production, including AgentOps, CI/CD, monitoring, evaluation, and optimization.
• Strong 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, delivering measurable business impact.

Vice President Expectations

• If managing a team: Define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance, and contribute to employee pay decisions/changes. Lead specialists to influence department operations in alignment with strategic and tactical priorities while balancing short- and long-term goals.
• If an individual contributor: Serve as a subject matter expert within your discipline, guide technical direction, lead collaborative multi-year assignments, and train or coach less experienced specialists. Provide insights affecting long-term profits, organizational risks, and strategic decisions.

Location

This role is located in our Whippany, NJ office.

Pay

Minimum Salary: $150,000
Maximum Salary: $200,000
The salary range includes base salary only and does not encompass other types of compensation or benefits.

Benefits

Barclays employees are eligible for a suite of competitive and generous benefits, including:

• Medical, dental, and vision coverage.
• 401(k) retirement plan.
• Life insurance.
• Paid leave for qualifying circumstances.

This position is also eligible for an incentive award.