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Location
In office (Bengaluru)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Jun 22, 2026. Barclays scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Barclays is a British universal bank whose roots go back to a goldsmith banking partnership founded in London in 1690, and which took its modern joint-stock form in 1896 through the amalgamation of twenty family banks. It combines a large United Kingdom retail and business bank with an investment bank that competes with the American bulge bracket in fixed income and equities trading, an unusual pairing for a European institution. The group also runs Barclaycard, one of the largest card issuers in Britain, a United States consumer bank built on airline and retail partnerships, and a private banking and wealth arm.

Job Description

Purpose of the role

To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.

Accountabilities

  • 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.

Vice President Expectations

  • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others..
  • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

Join us as an Engineering Manager. At Barclays, we don’t just adapt to the future, we create it. As an Engineering Manager you will be an innovative Generative AI Engineer to drive adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification and risk reduction across enterprise business solutions.

To be a successful Engineering Manager, you should have experience with:

  • 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.

Additional relevant skills given below are highly valued:

  • 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. Bachelor’s degree in computer science, Information Technology or Engineering is required.

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.

This role is based in Bangalore.

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