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- Tasks: Lead AI innovation and governance, shaping advanced AI solutions for diverse industries.
- Company: Join WNS, a top BPM company transforming businesses with cutting-edge technology.
- Benefits: Enjoy a competitive salary, health benefits, and flexible work arrangements.
- Why this job: Make a real impact in AI while collaborating with industry experts.
- Qualifications: Experience in AI technologies and strong communication skills required.
- Other info: Dynamic role with opportunities for mentorship and career growth.
The predicted salary is between 60000 - 80000 ÂŁ per year.
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital‑led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re‑imagine their digital future and transform their outcomes with operational excellence.
To provide deep subject‑matter expertise within the AI Centre of Enablement, managing the shaping, design and governance of advanced AI, data and agentic AI solutions. The role drives innovation across copilots, cloud‑based AI services, RAG architectures and multi‑agent systems, while ensuring every solution is secure, scalable, compliant and underpinned by robust architectural principles.
Key Accountabilities- Translate complex concepts into clear guidance for executives and governance forums.
- Contribute to AI strategy, roadmap and horizon‑scanning, informing investment and risk posture.
- Provide insight to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.
- Lead enterprise‑wide assurance for high‑risk AI systems, conducting deep reviews, assessing model and agent behaviour under stress conditions, identifying systemic risks, and recommending design‑level mitigations to ensure solutions remain robust, ethical and compliant.
- Serve as the subject matter expert on AI technologies, including large language models (LLMs) and agentic AI, providing insights and recommendations to support business cases and investment decisions.
- Lead exploration and proof‑of‑concepts for multi‑agent, tool‑using and semi‑autonomous workflows.
- Define enterprise AI patterns for orchestration, prompt governance, vector search, memory and agent frameworks.
- Act as a key influencer and advisor to senior management and governance forums, providing expert guidance on AI‑related decisions and strategies.
- Advise on model selection, prompting strategies, data approaches and trade‑offs for safe, high‑performing solutions.
- Mentor and develop AI capabilities within the organization, uplifting the skills and expertise of delivery resources and ensuring the successful implementation of AI initiatives.
- Shape and govern agentic AI patterns (memory, planning, tool use, autonomy constraints, escalation).
- Guide RAG implementations, vector databases, embedding pipelines and content governance models.
- Ensure strong data foundations (quality, lineage, metadata, privacy, access controls) for AI workloads.
- Drive cross‑functional technical AI enablement by developing advanced tooling, accelerators and evaluation frameworks, enabling teams to experiment safely, adopt best‑practice AI patterns, and scale AI delivery with higher consistency and lower technical debt.
- Provide robust technical challenge of vendors and models with evidence, benchmarking and risk assessment.
- Define standards, guardrails, and reusable frameworks for Copilot/LLM/agentic solutions.
- Support delivery of high‑risk/novel initiatives as a deep technical contributor and escalation point.
- Mentor delivery resources to uplift AI capability.
- Managing escalations and deputising for Senior Manager where required, and supporting the wider Data & AI Leadership team.
- Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities.
- Build the capability & capacity of functional resources to drive sustained commercial success.
- Interpret & communicate the priorities for the Function, motivating and developing a high performing team.
- Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business.
- Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities.
- Uphold corporate legal & regulatory responsibilities.
- Implement and manage transformation activity & harness innovation to create a high performing & sustainable business.
- Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field.
- Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions.
- Proven experience designing, evaluating and governing multi‑agent systems, incorporating memory structures, tool‑use orchestration, planning algorithms and autonomy controls.
- Demonstrated ability to benchmark LLM performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective deployment.
- Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards.
- Strong understanding of cloud‑native AI solutions and proven experience delivering solutions on Azure, AWS and Google Cloud, ensuring alignment to enterprise standards, security controls and platform guardrails.
- Demonstrated ability to engineer and optimise RAG’s, including vector database design, embedding strategies, retrieval optimisation and advanced orchestration patterns for accuracy and reliability.
- Strong understanding of data engineering, governance, lineage, data quality and privacy frameworks, ensuring AI workloads are built on compliant, high‑integrity data foundations.
- Proven experience designing secure, resilient and scalable AI, embedding security‑by‑design, operational guardrails and platform‑level controls.
- Strong ability to challenge solution designs, model selections and vendor proposals, using evidence‑based critique, benchmarking and review.
- Demonstrated ability to communicate complex AI concepts in clear, concise terms for senior leaders, governance forums and non‑technical stakeholders.
- Demonstrated ability to operate effectively in fast‑changing, ambiguous technical environments, providing clear direction, informed judgement and architectural leadership.
- Proven experience mentoring uplifting AI capability and embedding repeatable best‑practice patterns across teams.
- Excellent stakeholder management and communication.
- Understanding of financial services industry, markets and competitors.
- Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries.
- Awareness of the Mutual Sector and the needs and interests of Members.
AI Specialist (AI Foundry) - 3 Days Work from Office - Leeds or Bradford employer: WNS Global Services
Contact Detail:
WNS Global Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Specialist (AI Foundry) - 3 Days Work from Office - Leeds or Bradford
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry events in Leeds or Bradford. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or multi-agent systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of responsible AI principles and ethical risk management. Be ready to discuss how you would tackle real-world challenges in AI governance and design during your chat with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at WNS.
We think you need these skills to ace AI Specialist (AI Foundry) - 3 Days Work from Office - Leeds or Bradford
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Specialist role. Highlight your experience with AI technologies, especially LLMs and agentic AI, and how they relate to the job description. We want to see how your skills align with our needs!
Showcase Your Expertise: Don’t hold back on showcasing your technical know-how! Include specific examples of projects where you've designed or evaluated AI solutions. This is your chance to shine and demonstrate your deep subject-matter expertise.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language to explain complex concepts, as if you’re talking to someone who isn’t an AI expert. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at WNS Global Services
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially large language models and agentic AI. Be ready to discuss how you've applied these in past projects and how they can benefit the company.
✨Prepare for Technical Questions
Expect to face some tough technical questions about AI governance, risk management, and ethical considerations. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to share examples of how you've tackled challenges in AI projects. Highlight your experience with multi-agent systems and how you've ensured solutions are secure and compliant.
✨Engage with the Interviewers
Don't just answer questions—ask insightful ones too! Show your interest in the company's AI strategy and how you can contribute to their goals. This will demonstrate your enthusiasm and help you stand out.