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NEXTMOVEFDE careers · United States

Senior Forward Deployed AI Engineer

AI summary of the role

This is a high-impact AI engineering role within Barclays Investment Bank, focused on reinventing research workflows through agentic AI and RAG solutions.

What you’ll do

  • Design and build agentic AI applications using frameworks like LangChain, CrewAI, or AutoGen
  • Develop and optimize RAG solutions including vector databases, semantic search, and retrieval pipelines
  • Deploy scalable cloud-native applications on AWS using ECS/EKS, Lambda, Bedrock, and Docker
  • Translate complex business tasks from Investment Banking Research into technical AI solutions

What you’ll bring

  • Considerable Python engineering skills with production-grade API development using FastAPI or Flask
  • Deep experience with RAG solutions including vector databases, semantic search, and retrieval optimization
  • Experience deploying cloud-native applications on AWS (ECS/EKS, Lambda, Bedrock, Docker)
  • Understanding of MCPs, FastMCP, tool calling, and agent orchestration patterns

Technologies

Python · FastAPI · Flask · LangChain · CrewAI · AutoGen · RAG · vector databases · AWS · ECS/EKS · Lambda · Bedrock

About Barclays

Global universal bank spanning UK retail, US consumer cards, corporate banking, an investment bank, and private/wealth management, serving millions of customers across ~40 countries.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Job Description Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays
More from the job description

Job Description Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of 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. Vice President Expectations To contribute 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.. If managing a team, they define jobs and responsibilities, planning [... source excerpt omitted ...] tions of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction [... source excerpt omitted ...] ine the future of banking and help craft innovative solutions. This is not a traditional engineering role, it 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. To be successful as a Senior Forward Deployed AI Engineer, you should have: 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

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