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Date live:
Jun. 04, 2026
Business Area:
Customer Digital and Data
Area of Expertise:
Technology
Reference Code:
JR-0000116333
Contract:
Permanent
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Explore locationJoin Barclays as a Gen AI and ML Engineer, you will be responsible for leading design, build and delivery of cutting-edge solutions in Generative AI (GenAI), Conversational AI, and Agentic AI systems. This role requires strong technical leadership, hands-on development expertise, and the ability to translate business needs into scalable AI solutions.
To be successful in this role you should have:
Own the end-to-end product lifecycle for Generative AI, Agentic AI, AI/ML solutions, from design to deployment.
Act as a bridge between business and technology teams, ensuring alignment of requirements and technical specifications.
Enable data-driven insights and AI-powered automation for Conversational AI, GenAI, and ML use cases.
Design & Implement Agentic, GenAI Solutions: Build robust Generative AI and Agentic AI applications using AWS Bedrock, SageMaker, and other AWS ML services.
Develop LLM bases Use Cases: Architect and implement LLM based use cases like RAG, Summarization, data analysis etc. for enterprise-scale applications.
LLM Finetuning & Evaluation: Fine-tune, evaluate, and optimize Large Language Models (LLMs) for performance, accuracy, and safety.
Integration & Collaboration: Work closely with product managers, engineers, and UX teams to embed AI capabilities into business workflows.
Strong proficiency in Python around Agentic, GenAI and framework such as LangChain, LangGraph, CrewAI, Langfuse etc.
Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway).
Deep understanding of AI Agents, Agentic architecture, Generative AI, LLMs, NLP, and Conversational AI.
Deep understanding of Prompt engineering and Prompt management, refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).
Experience with Database technologies like SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)
Proficiency with developing solutions on cloud platform preferably AWS platform.
Good Engineering experience with large-scale AI/ML systems.
Some other highly valued skills include:
Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.
Strong communication and stakeholder management skills.
Ability to lead technical teams and mentor junior developers.
Ability to lead mid-size technical teams and mentor junior developers.
Bachelor’s degree in computer science, Information Technology or Engineering is required.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
The successful candidate will be based in Bengaluru.
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.