2 months ago
Pune, IndiaStaff+
Responsibilities
- Lead the overall engineering and development of the multiyear SOLD Simplification initiative.
- Coordinate and support requirements discovery, initiative and delivery planning, roadmap development, and stakeholder management.
- Design, develop, and deliver scalable, maintainable, secure, and high-performance software solutions.
- Build generative AI solutions involving LLM integration, prompt engineering, retrieval-augmented generation, embeddings, vector databases, and agentic AI workflows.
- Design enterprise applications using full-stack technologies, microservices, APIs, event-driven architecture, databases, authentication, and enterprise integration patterns.
- Implement cloud-native engineering and DevSecOps practices, including automated testing, observability, resilience, application security, and production support.
- Collaborate with product managers, designers, engineers, stakeholders, and senior leadership to define requirements and align solutions with business objectives.
- Participate in code reviews, promote code quality and knowledge sharing, and guide less experienced specialists.
- Manage and mitigate risks and strengthen controls related to the team’s work.
Requirements
- Strong full-stack engineering expertise using Python or Java, including Python with FastAPI or Django, or Java with Spring Boot, plus modern frontend technologies such as React, Angular, or TypeScript.
- Hands-on experience delivering generative AI solutions with LLM integration, prompt engineering, retrieval-augmented generation, embeddings, vector databases, and agentic AI workflows.
- Experience designing secure, scalable enterprise applications and working with microservices, REST APIs, event-driven architecture, relational or NoSQL databases, authentication, and enterprise integration patterns.
- Experience with cloud-native engineering and DevSecOps, including Docker, Kubernetes, CI/CD, automated testing, observability, resilience, application security, and production support.
- Preferred experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, Spring AI, or LangChain4j.
- Preferred MLOps and LLMOps knowledge, including prompt and model versioning, automated evaluation, monitoring, guardrails, performance optimization, and cost management.
- Preferred experience integrating AI with enterprise platforms and data sources, including APIs, messaging systems, knowledge repositories, workflow tools, and internal developer platforms.
- Financial services or payments engineering experience and understanding of responsible AI, data privacy, regulatory compliance, and delivery across multiple countries are valued.
- Demonstrated ability to provide technical direction, lead complex assignments, guide team members, advise stakeholders, and apply analytical and strategic thinking.
Benefits
- The role is based in Barclays’ Pune office.
- The position offers the opportunity to work on generative AI, enterprise engineering, and a multiyear platform transformation initiative.
Tech Stack
Categories
About Barclays
Barclays is a UK‑based universal bank that provides retail and commercial banking, credit cards (Barclaycard), wealth management, and investment banking to consumers, businesses, and institutions. Publicly listed in London and New York, it generates revenue from net interest income, fees, and markets activities, and operates across Europe, the Americas, the Middle East, and Asia. Founded in 1690 and headquartered in London, it serves customers through digital channels and a branch network.