Senior GenAI and Python Developer – AVP

Senior GenAI and Python Developer – AVP

Embark on a transformative journey as a Senior GenAI and Python Developer – AVP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you will leverage your deep AWS expertise to help a large cross-functional team deliver multiple Generative AI solutions each year. These programs will have a direct impact on both end users and the business by reducing manual effort, streamlining workflows, and accelerating key processes.

You will play a critical role in developing transformative AI technologies while gaining practical experience with some of the latest large language models available through AWS Bedrock.

To be successful as a Senior GenAI and Python Developer – AVP, you should have:

• Practical development experience with Python 3.12+ and ample proficiency in Lang Chain, machine learning frameworks, the Amazon Bedrock SDK, and related AI/ML technologies
• Extensive AWS experience, including services such as Amazon EKS, Amazon Bedrock, Knowledge Bases, Cloud Watch, Agent Core, Strands SDK, Auto Scaling Groups, Load Balancers, API Gateway, Lambda, Step Functions, AWS Glue, PostgreSQL, and Amazon RD
• Considerable experience developing and deploying FastAPI-based applications, with experience in frontend/client integration and API consumption patterns
• Experience with observability and Fin Ops tools, such as Langfuse and Phoenix, to monitor, evaluate, and optimize GenAI application performance and costs
• Experience designing and building Agentic RAG (Retrieval-Augmented Generation) solutions and multi-agent AI systems using industry-standard agentic AI frameworks and best practices

Other highly valued skills include:

• Experience working with Large Language Models (LLMs) on Amazon Bedrock, including application development, model integration, and orchestration using AWS SDKs and related services
• Proven experience building and maintaining CI/CD pipelines to support automated testing, continuous integration, and deployment of applications to Kubernetes-based environments
• Ample understanding of AI guardrails, governance, and security best practices, particularly when working with sensitive financial data and regulated datasets
• Familiarity with Git Lab and Git Lab CI/CD for source control management, automated builds, and deployment workflows
• Working knowledge of Helm charts, AWS Cloud Formation, and infrastructure-as-code practices to enable scalable, repeatable, and seamless deployments to Amazon EKS environments

You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

This role is located in our Whippany, NJ office.

Minimum Salary: $120,000

Maximum Salary: $175,000

The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

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.