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Join us as an AVP - GenAI + ML Engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.
Job Responsibility:
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
Consult on complex issues
providing advice to People Leaders to support the resolution of escalated issues
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
Take ownership for managing risk and strengthening controls in relation to the work done
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively
Communicate complex information
Influence or convince stakeholders to achieve outcomes
Requirements:
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
Bachelor’s degree in computer science, Information Technology or Engineering is required
Nice to have:
Professional experience in financial services and technology firms
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