Technical Specialist Analyst, VP
AI in this role
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
45Job Posting Closing Date:
13/10/2026How we rate this
Technical Specialist Analyst, VP at NatWest Group rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through how you've used LangGraph in your day-to-day work.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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