GenAI Data Engineering Lead
Barclays is hiring a GenAI Data Engineering Lead in Pune, India. Level rates it ; you can apply on Barclays.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include prompt engineering, RAG and AI agents.
- Level classifies it as a lead role.
- Level lists 607 other open roles at Barclays.
AI in this role
Lead a GenAI data engineering team, focusing on software delivery, team mentorship, and engineering process improvements.
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 a GenAI Data Engineering Lead at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.
To be successful as a GenAI Data Engineering Lead you should have experience with:
Strong leadership experience managing software engineering teams.
Hands-on expertise in Python development (FastAPI, Django, APIs, Microservices) & React.
Experience building Generative AI solutions, including:
LLMs and AI Assistants
RAG (Retrieval-Augmented Generation)
AI Agents / Agentic Workflows
Prompt Engineering
GenAI Governance and Responsible AI
Experience with cloud platforms AWS/Containers and CI/CD.
Some other highly valued skills may include:
Lead, mentor, and develop teams of software, front-end, and AI engineers.
Drive delivery of scalable, secure, and resilient technology solutions.
Define engineering standards, best practices, and modern development processes.
Partner with Product Owners, Architects, and business stakeholders to execute technology roadmaps.
Champion innovation in AI, automation, and cloud-native engineering.
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 out of Pune.
How we rate this
GenAI Data Engineering Lead at Barclays rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $147k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where team management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Safety, and Team Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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