AI Engineering Lead-VP
Barclays · Pune · Posted 2026-07-28
Tech stack: AWS
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About 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.
Responsibilities:
- 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.
Qualifications:
- Hands-on expertise in designing, building, and maintaining AWS platforms supporting AI workloads (ML, GenAI, agentic systems) , exposure to CI CD pipelines and IAC based deployments.
- Proven experience working across security, governance, architecture, and business stakeholders, navigating complex enterprise environments.
- A product-oriented approach, with a focus on outcomes, scalability, self-service capabilities, continuous evolution, and exceptional user experience.
- Experience building high performance technical teams.
- Comfortable AI tools like Claude code and the likes , applying structured rules , skills and reusable patterns to accelerate development.
- Practical experience building ML models and developing GenAI applications.
- Experience working in Agile environments, collaborating iteratively and delivering incremental value.
- 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.
- The role is based out of Pune.
Qualifications
- Hands-on expertise in designing, building, and maintaining AWS platforms supporting AI workloads (ML, GenAI, agentic systems), exposure to CI CD pipelines and IAC based deployments.
- Proven experience working across security, governance, architecture, and business stakeholders, navigating complex enterprise environments.
- A product-oriented approach, with a focus on outcomes, scalability, self-service capabilities, continuous evolution, and exceptional user experience.
- Experience building high performance technical teams.
- Comfortable AI tools like Claude code and the likes, applying structured rules, skills and reusable patterns to accelerate development.
- Practical experience building ML models and developing GenAI applications.
- Experience working in Agile environments, collaborating iteratively and delivering incremental value.
- 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.
- The role is based out of Pune.
Responsibilities
- 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.