Technical Specialist Analyst, VP

NatWest Group; Chennai District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

NatWest Group is seeking a Technical Specialist Analyst in Chennai to lead AI-powered product strategy and delivery. You will own roadmaps, translate business needs into technical AI solutions, and work with multi-disciplinary teams to ensure compliant, scalable outcomes.

You'll apply agile methods to rapidly produce solutions that meet functional and non-functional needs, while focusing on governance, observability, and cost efficiency across the platform.

Qualifications

• Experience leading AI-powered product strategy in regulated environments.
• Ownership of product roadmaps, backlogs, and discovery activities.
• Translating business requirements into technically deployable AI solutions.

Responsibilities

• Lead the strategy, delivery and lifecycle of AI products across stakeholders.
• Own product roadmaps and backlog prioritisation with discovery activities.
• Develop and deploy AI solutions using LangGraph, RAG, and vector databases.
• Define metrics for AI performance, guardrails, bias mitigation and explainability.
• Collaborate with engineers and domain architects to align with platform goals.

Skills

AI-powered products

Product Owner

LangGraph

RAG

Vector databases

Python-based development

AI observability

Guardrails

AI governance

Regulatory compliance

Job description

Join us as a Technical Specialist Analyst

• This is a rewarding opportunity for a passionate and driven analyst to join our business
• We’ll look to you to apply your specialist skill and knowledge to solve business problems and produce working solutions that will make a difference to our customers and the bank
• Hone your technical expertise in a collaborative, agile and forward thinking team environment
• We're offering this role at vice president level

What you'll do

As a Technical Specialist Analyst, you'll be working across the solutions lifecycle, from requirements analysis and design, through to coding, testing, deployment and operation. Working in the feature team, you'll be developing your expertise to help solve business problems presented to make sure our customers are getting the best experience possible.

By applying Agile methods, you'll be developing and producing solutions continually and rapidly that meet current non-functional requirements and are flexible to cope with future functional and non-functional needs.

You'll also be:

• Producing innovative ideas and confirming these through experimenting and prototyping
• Designing and developing solutions with a focus on the automation of build, test and deployment activities using executable patterns
• Evaluating and analysing metrics to continually improve performance
• Using, and contributing to the development of standard patterns
• Liaising with principal engineers and domain architects to build an understanding of the wider platform and how it supports business objectives

The skills you'll need

We're looking for someone highly technical with experience of engineering disciplines such as analysis, design, testing and deployment. You’ll have a background in solving complex analytical and numerical problems, and will be able to rapidly and effectively understand and translate product and business requirements into technical solutions.

You'll also demonstrate:

• Experience in leading the strategy, delivery, and lifecycle management of AI-powered products within a regulated environment, working across business, technology, and governance stakeholders
• Experience as a Product Owner with ownership of product roadmaps, backlog prioritisation, discovery activities, and translating business requirements into actionable technical solutions
• Expertise in agentic AI technologies including multi-agent frameworks, LangGraph, RAG, vector databases, MCPs, AI observability, guardrails, and Python-based development
• Knowledge of AI governance, risk management, and regulatory compliance, including bias mitigation, transparency, explainability, and ethical AI practices
• Experience in defining, measuring, and optimising product and AI performance metrics, including quality evaluations, hallucination rates, guardrail adherence, adoption, latency and cost