Engineering Manager
Barclays · Posted Oct 28
Banking, credit card, corporate, investment banking, and wealth management services
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About the role
Barclays is seeking an Engineering Manager to lead engineering teams and drive adoption of Large Language Models and agentic flows across enterprise business solutions. The role focuses on process efficiencies, automation, simplification and risk reduction, working with Python, agentic frameworks and the AWS ML ecosystem. The position combines people leadership and technical guidance with oversight of delivery timelines, risk management and engineering standards, based in Bangalore.
What you will do
- Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
- Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
- Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
- Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
- Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.
Skills used in this role
What the employer is looking for
- Strong understanding of Language Models LLMs), transformers, agentic frameworks vector stores, and search algorithms.
- Strong proficiency in Python around Agentic, GenAI and frameworks i.e. (LangChain, LangGraph, CrewAI etc.).
- Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway).
- Good engineering experience with high- performance, large-scale AI/ML systems.
- Deep understanding of Prompt engineering and Prompt management.
- Experience with Database technologies such as SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)
- Familiarity with one of the major cloud platforms including AWS, GCP or Azure
- Good Engineering experience with large-scale AI/ML systems.
- Experience in model risk management, guardrails development.
- Bachelor’s degree in computer science, Information Technology or Engineering is required.
Preferred qualifications
- Professional experience in financial services and technology firms.
- Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures.
- Demonstrated ability to structure and lead, Strong communication and stakeholder management skills.
- Motivated quick learner with the ability to learn new skills.
- Ability to lead technical teams and mentor junior developers.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
Group Chief Executive
Group Finance Director
Group Chief Operating Officer
Recent coverage
The Guardian
Barclays to cut 5,000 jobs as AI replaces roles2026-10-22
Investing.com
Barclays Q3 2026 slides show mixed results, on track for targets2026-10-22
Euronews
Barclays cuts 5,000 jobs as net profit grows 13% in Q32026-10-22