At a Glance
- Tasks: Deliver cutting-edge AI solutions for diverse clients in finance, public sector, and more.
- Company: Join EY, a leader in innovative consulting with a focus on applied AI.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Experience a dynamic hybrid work environment with travel opportunities across the UK.
- Why this job: Make a real impact by transforming AI from concept to reliable production.
- Qualifications: Strong skills in Python/TypeScript, cloud engineering, and client communication.
The predicted salary is between 60000 - 80000 £ per year.
Work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production‑grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations.
Location: London / Manchester / Birmingham / Edinburgh / Belfast – Hybrid with client‑site travel
Contract: Permanent, full‑time
Why EY — and why FS: Within EY’s FS, help leading banks, insurers and capital‑market firms move from AI experimentation to reliable production adoption, integrating systems with enterprise data, security and governance.
Role purpose: Operate as a hands‑on engineer within a squad, taking ownership of defined components and delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security and observability.
What you’ll do:
- Client‑facing engineering & delivery: Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos and solution reviews; drive adoption through testing and iteration.
- Solution design & implementation: Design and implement RAG pipelines, agents, microservices and integrations; apply monitoring, evaluation and Responsible AI guardrails.
- Product mindset & continuous improvement: Shape MVP scope, backlog and release planning; capture reusable patterns and contribute to shared accelerators.
What we’re looking for:
- Essential: Strong Python/TypeScript; async patterns; API design; testing/CI; microservice fundamentals. Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding. Cloud engineering (Azure preferred), Docker/Kubernetes, serverless; secure networking/IAM. Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover. Consulting behaviours: stakeholder engagement and clear, client‑ready communication.
- Nice to have: Document/graph stores; streaming (Event Hub/Kafka); cloud architecture exposure and governance credentials.
Travel & working model: Hybrid with periodic client travel across the UK (and occasional international travel).
What we offer you: At EY, we’ll develop future‑focused skills and provide world‑class experiences in a flexible, inclusive culture.
Senior Consultant - Applied AI Engineer, TC in Manchester employer: EY UK
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our hybrid working model allows for flexibility while engaging with a diverse portfolio of clients across various sectors, providing ample opportunities for professional growth and development. With a commitment to inclusivity and continuous improvement, we empower our employees to thrive in their careers while making a meaningful impact in the world of Applied AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant - Applied AI Engineer, TC in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Consultant - Applied AI Engineer, TC in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Consultant – Applied AI Engineer role. Highlight your experience with Python, TypeScript, and any relevant AI projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our diverse portfolio of clients. Keep it engaging and make sure to mention your consulting behaviours and client-ready communication skills.
Showcase Your Projects:If you've worked on any relevant projects, don't hold back! Include links or descriptions of your work with RAG pipelines, microservices, or cloud engineering. We love seeing practical examples of your skills in action.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at EY UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, TypeScript, and the specific technologies mentioned in the job description. Brush up on async patterns, API design, and microservices fundamentals. Being able to discuss your hands-on experience with LLMs and cloud engineering will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world examples where you've tackled complex engineering challenges. Think about how you’ve designed and implemented RAG pipelines or microservices in previous roles. This will demonstrate your ability to translate requirements into effective engineering tasks.
✨Engage with Stakeholders
Since this role involves client-facing work, practice how you communicate technical concepts to non-technical stakeholders. Be ready to explain how you’ve collaborated with business and technology teams in the past, and how you can drive adoption through testing and iteration.
✨Emphasise Continuous Improvement
Highlight your product mindset by discussing how you’ve shaped MVP scopes and contributed to backlog planning. Share any experiences where you’ve captured reusable patterns or contributed to shared accelerators, as this aligns perfectly with what they’re looking for.
