- About Us
- Business Areas
- Early Careers
- Locations
Your jobs
Date live:
Aug. 10, 2026
Business Area:
Customer Digital and Data
Area of Expertise:
Technology
Reference Code:
JR-0000122815
Contract:
Permanent
Take a look at the map to see what’s nearby. Train stations & bus stops, gyms, restaurants and more.
Explore locationAs an AI Engineer , you will drive the design and delivery of cutting-edge solutions inGenerative AI (GenAI),Conversational AI, andAgentic AI systemsleveragingAWS services. You will lead initiatives to buildAgentic AI,Conversational & Generative AI use cases with Large LanguageModels ,and integrate advanced AI/ML capabilities into enterprise products. This role requires strong technical leadership, hands-on development expertise, and the ability to translate business needs into scalable AI solutions.
You will:
Support use cases across multiple business domains.
Own the end-to-end product lifecycle forGenerative 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.
Key Responsibilities
Design & ImplementAgentic,GenAI Solutions:Build robustGenerative AIandAgentic AIapplications usingAWS Bedrock,SageMaker, and other AWS ML services.
DevelopLLMbases UseCases:Architect and implementLLM based use cases like RAG, Summarization, data analysis etc.for enterprise-scale applications.
LLMFinetuning& Evaluation:Fine-tune, evaluate, and optimizeLarge Language Models (LLMs)for performance, accuracy, and safety.
Conversational AI Expertise:Design and deploy conversational AI models usingAmazon Lex,Amazon Connect, and custom NLP pipelines.
Integration & Collaboration:Work closely with product managers, engineers, and UX teams to embed AI capabilities into business workflows.
Innovation & Research:Stay ahead of AI trends, frameworks, and best practices; apply them to drive continuous innovation.
Quality & Governance:Maintain system design integrity, review test strategies, and ensure compliance with AI ethics and security standards.
Incident Support:Assist in diagnosing and resolving production issues.
Optimize solutions through thorough research experimentation, and advanced problem-solving techniques.
Communicate complex concepts and results effectively to both technical and non-technical stakeholders.
Required Skills & Qualifications
Technical Expertise:
Proficiency withdevelopingsolutionon AWS platform
Strong proficiency inPythonaround Agentic, GenAI andAI/ML libraries (LangChain,LangGraph,Google ADK,Langfuse, OTEL,Transformers,CrewAIetc.).
Hands-on experience withAWS ML ecosystem(Bedrock,AgentCore,SageMaker, Lambda, API Gateway, EKS, Docker).
Deep understanding ofAI Agents, Agentic architecture,Agentic Memory,Generative AI,LLMs,NLP, andConversational AI.
Deep understandingonPrompt engineering and Prompt management, refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs)
Experiencewith SQL, NoSQL andvector databases(e.g.,DynamoDB,PGVector,CromaDB, FAISSetc.)
Experience withdata chunking and embeddingalong with expertise using differentembedding models.
AI/ML Fundamentals:
Solid grasp ofML algorithms, model evaluation techniques,
Hands onexpertise withmodel training, deployment and monitoring.
Additional Skills:
Knowledge ofREST APIs,AWS CloudFormation, AWS Service catalog products,JSON/XML, CI/CD tools (Jenkins/Gitlab/Harness), and cloud-native architectures.
Strong communication and stakeholder management skills.
Ability to lead technical teams and mentor junior developers.
You may be assessed on 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 role is based out of Pune.
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
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.