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Barclays

AI Engineering Lead-VP

Reposted 10 Days Ago
Be an Early Applicant
In-Office
Pune, Maharashtra, IND
Expert/Leader
In-Office
Pune, Maharashtra, IND
Expert/Leader
Lead and mentor engineering teams to design and deliver MLOps and GenAI solutions. Drive technical strategy, enforce standards, implement model context and persistent memory architectures, integrate AWS services and LLM/observability tooling, and collaborate with stakeholders to align AI capabilities with business objectives.
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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.

At Barclays, we don’t just adapt to the future – we create it. Embark your transformative journey as an AI Engineering Lead-VP, we are seeking a highly skilled AI Engineering Lead with deep expertise in building ML Ops platforms & GenAI applications using frameworks like Lang Graph/Crew AI to design stateful, multi-step reasoning loops and autonomous multi-agent swarms. The role involves coaching and mentoring teams and building a high capability team, work collaboratively with platform and other projects teams, architects.

To be successful in this role, you should have experience with:

  • Experience in AWS Tools like Bedrock, Guardrail, Lambda, Glue, Sage Maker AI, Elastic ache, Step Functions, S3, IAM, KMS, AWS Knowledge Base, pg vector, knowledge graphs.
  • Observability, Evaluation & LLM Ops tools: like RAGAS, Lang Smith/Lang fuse, Custom logging and tracing, Token usage and cost tracking.
  • Implementation of Model Context Protocol (MCP) and persistent memory architectures (Episodic/Semantic) to ground agents in real-time data.
    Experience in using natural language intent to rapidly prototype and steer non-deterministic systems.
  • Excellent exposure to Machine learning projects and opportunity to contribute to the banks AI and GenAI capabilities.

Some other highly valued skills may include:

  • Pricing Assistant (as part of the E2E pricing program).
  • UKC strategic insights and GenAI & agentic platform developments.
  • Strong AWS Devops & Sysops capabilities.
  • Exposure to building Machine learning & GenAI applications.
  • Excellent risk management and technical governance exposure and agentic pattern implementations.

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.

This role is based out of Pune.

Barclays Pune, Mahārāshtra, IND Office

Pune, Maharashtra , India, 411014

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