Liquid Financing AI Engineer VP

Salary: $170,000 - 230,000 per year Requirements: We need strong engineering experience in Python and/or Java, with preferred proficiency in both and solid depth in one language plus working capability in the other. We need extensive hands-on experience with AWS services, including ECS, Lambda, S3, API Gateway, Step Functions, and IAM. We need an understanding of Kubernetes for deploying and running containerized services in production. We need excellent communication skills, with the ability to explain technical trade-offs clearly to engineering colleagues and non-technical stakeholders. We need practical knowledge of AI and machine learning concepts, including experience integrating LLM APIs, embeddings, and retrieval patterns into applications. We highly value domain knowledge in Liquid Financing, including Prime Brokerage, Fixed Income Financing, Stock Borrow & Loan, or Custody. We value experience working directly with Quants and Strats and understanding their workflows, data needs, and the role of technology in quantitative and structuring functions. We value familiarity with financial instruments, trade lifecycles, or risk systems in a front-office technology environment. We value experience with event-driven architectures, message streaming such as Kafka or MSK, or real-time data processing pipelines. We value exposure to DevSecOps practices and regulatory or compliance technology requirements within financial services. Responsibilities: We design, develop, and improve software using a range of engineering methods to support business, platform, and technology capabilities for our customers and colleagues. We deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring code is scalable, maintainable, and performance-optimized. We collaborate with product managers, designers, and other engineers to define requirements, shape solution approaches, and ensure smooth integration with business goals. We participate in code reviews with peers and help promote code quality and knowledge sharing. We stay current with technology trends and innovations and contribute to our technology communities to support technical excellence and growth. We apply secure coding practices to reduce vulnerabilities, protect sensitive data, and deliver secure software. We implement effective unit testing practices to support good code design, readability, and reliability. We contribute to or help define strategy, drive requirements, recommend changes, and support resource, budget, and policy planning where applicable. We advise key stakeholders and senior management on areas of functional and cross-functional impact. We manage and mitigate risks, support control and governance activities, and strengthen accountability for risk and controls. We work across teams to stay aligned with business activity and strategy. We develop analytical solutions by comparing complex alternatives, applying interpretive thinking, and using research to solve problems. We build and maintain trusted relationships with internal and external stakeholders to achieve business objectives. Technologies: AI API AWS Lambda DevSecOps IAM Support Java Kafka Kubernetes LLM Liquid Machine Learning Python Cloud LESS More: We are working with Barclays on this opportunity for a Liquid Financing Data/AI Engineer - VP based in our New York, NY office. In this role, you will help shape the future of banking by applying advanced data engineering and AI to Liquid Financing, supporting strategic insight, scalable solutions, and Barclays digital transformation agenda. The position offers the chance to work with advanced technologies and world-class global talent, with a base salary range of $170,000 to $230,000, excluding any additional compensation or benefits. Colleagues are expected to reflect the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, as well as the Barclays Mindset to Empower, Challenge and Drive. last updated 36 week of 2026