Job Description

End Date

Friday 29 May 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid WorkingLeads the desigining and implementation of solutions leveraging AI and machine learning techniques to solve complex business problems, acting as a point of technical expertise and thought leadership, and provides line management and/or coaching to grow team capability

Exp : 15+ years
Location : Hyderabad.

Requirements

• Experience in problem framing, exploratory data analysis, AI/ML metrics, classical machine learning and LLM evaluation and development, prompt/RAG fundamentals, experiment design, and model cards.

• Proficiency in Python, with experience delivering production data science and ML solutions.
• Experience with API, containerisation and microservice architecture.
• Proven technical leadership of large, multi-team deliveries - setting strategy, making sound architectural decisions and enabling teams to deliver at pace.
• Hands-on experience with agentic AI: building LLM-powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry.
• Proficient knowledge of cloud-native engineering: containers (GKE/Cloud Run), Terraform/IaC, continuous integration/continuous deployment, automated quality assurance, observability, optimizing performance, and managing incidents.
• Solid knowledge of security, privacy and compliance in regulated environments; confident working with Risk, Security and Legal teams.
• Excellent communication and stakeholder engagement skills, with the ability to simplify complex concepts into clear, outcome-focused narratives.

Desirable

• Experience in AI explainability, human evaluation design, and developing ML models for unstructured data.

• Experience with Vertex AI Agent Builder/Agentspace, LangGraph, multi-agent patterns or agent-to-agent protocols.
• Knowledge of data governance and model risk practices in financial services.
• Exposure to Azure/AWS or cross-cloud patterns.

Why join us?

• You’ll have the opportunity to shape the future of banking through cutting-edge AI, while enjoying:
• A generous pension contribution of up to 15%, annual performance bonus and share schemes.
• Flexible benefits you can tailor to your lifestyle.
• Hybrid working (typically two days per week in an office hub).
• A culture that values diversity, inclusion and continuous learning.