Step into the role of Engineering Lead - Data and Applied AI at Barclays, where you will spearhead the evolution of our data technologies landscape through AI, driving innovation, and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure applications, ensuring seamless delivery of our digital solutions backed by responsible use of AI.

You may be assessed on key critical skills relevant for success in role such as:
- Experience in Applied AI – Claude CLI / OpenAI SDK / Google ADK, RAG, LangChain, Langfuse, Bedrock, Guardrails, vector databases, advanced prompting.
- Working knowledge of AWS – Python, IAM, S3, Lambda, Step functions, Cloudwatch, Glue, Athena, Lake Formation, RDS, Postgres, ECS, EKS, Cloud Formation.
- Must have tech Leadership exposure within Software Architecture, line management, mentoring, cross-team collaboration, project planning & execution.
- Excellent client-facing and stakeholder communication skills.

Desirable Skills Sets
- Experience in Big Data skills (Hadoop, Impala & Hive).




- Experience in Cloud Data technologies such as snowflake, databricks, starburst, star rocks
- Robust understanding of data governance and associated controls.

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 can be based in Pune.

Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, design

📌 Engineering Lead (Pune Division)
🏢 Barclays
📍 Pune Division