Technical Specialist Analyst, VP

RBS

Gurugram District

On-site

INR 1,500,000 - 2,700,000

Full time

9 days ago

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Job summary

RBS is seeking a Technical Specialist Analyst at VP level to work on AI-powered products within a regulated environment. You will engage across the lifecycle from requirements to deployment, focusing on delivering fast, high-quality solutions that meet customer needs.

The role emphasizes Agile delivery, architectural understanding, and collaboration with engineers and domain architects to align platform capabilities with business objectives.

Qualifications

  • Experience solving complex analytical and numerical problems in the context of AI products.
  • Ability to translate business requirements into actionable technical solutions.
  • Experience leading strategy, delivery, and lifecycle management of AI-powered products.

Responsibilities

  • Work across the solutions lifecycle from requirements analysis and design to coding, testing, deployment and operation.
  • Apply Agile methods to develop solutions that meet current and future needs.
  • Produce innovative ideas and validate them through prototyping.
  • Design and develop patterns for automated build, test and deployment.
  • Measure and analyse metrics to continually improve performance.

Skills

AI product ownership
Product backlog prioritisation
Python-based development
AI governance & regulatory compliance
Agile methodologies
Analytical problem solving

Tools

LangGraph
Vector databases
MCPs

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


Hours


45


Job Posting Closing Date:


13/10/2026

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