At a Glance
- Tasks: Lead AI engineering projects and mentor teams across diverse sectors.
- Company: Join EY, a leader in innovative AI solutions and engineering excellence.
- Benefits: Enjoy a competitive salary, hybrid work model, and continuous learning opportunities.
- Other info: Dynamic role with opportunities for travel and professional growth.
- Why this job: Shape the future of AI while working with top-tier clients and technologies.
- Qualifications: Expertise in software engineering, applied AI, and cloud architecture required.
The predicted salary is between 80000 - 100000 £ per year.
You will 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. This cross‑sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries.
Location: London CP / Manchester / Birmingham / Edinburgh / Belfast Hybrid with client‑site travel Contract Permanent, full‑time
Why EY — and why FS As AI complexity and regulatory expectations rise, FS clients need technical leaders who can architect, govern and operate AI at scale. EY’s engineering‑led approach — and our collaboration with Microsoft/OpenAI via Azure OpenAI Service — positions our teams to deliver safe, reliable solutions embedded in enterprise environments. You will guide squads and shape architectures to meet these demands.
Role purpose
Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.
What you’ll do
- Client‑facing engineering & leadership: Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.
- Solution architecture & implementation leadership: Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.
- Product mindset & continuous improvement: Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.
What we’re looking for
Essential
- Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).
- Applied‑AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
- Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
- Data engineering depth (Spark/Databricks; ETL/ELT); cloud‑native data + AI architectures.
- Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
- Consulting leadership: stakeholder, budget and risk management; team leadership.
Nice to have
- Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.
Travel & working model
Hybrid with periodic client travel across the UK (and occasional international travel).
Senior Applied AI Engineer (Manager) TC employer: EY UK
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across diverse sectors. Our commitment to employee growth is evident through our Applied AI Engineering Academy, which equips you with advanced skills and leadership opportunities while working in a hybrid model that balances flexibility with client engagement. Join us in London, Manchester, Birmingham, Edinburgh, or Belfast, where you'll be part of a forward-thinking team dedicated to delivering impactful AI solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer (Manager) TC
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Applied AI Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We want to see how you’ve tackled real-world problems with your applied AI expertise, so make sure to highlight your best projects.
✨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 Applied AI Engineer (Manager) TC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Applied AI Engineer role. Highlight your expertise in software engineering, cloud architecture, and applied AI to catch our eye!
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 your background aligns with our needs. Don’t forget to mention your leadership experience and client-facing skills.
Showcase Your Projects:Include examples of projects you've worked on that demonstrate your technical skills and problem-solving abilities. We love seeing real-world applications of your expertise, especially in diverse sectors!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at EY UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and cloud platforms. Brush up on your knowledge of distributed systems and CI/CD processes, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Since this role involves mentoring engineers and engaging with senior stakeholders, be prepared to share examples of your leadership experience. Think about times when you’ve guided a team through complex projects or made tough architectural decisions.
✨Understand the Regulatory Landscape
Given the focus on regulated environments, it’s crucial to demonstrate your understanding of compliance and governance in AI. Familiarise yourself with the specific regulations that apply to financial services and public sector clients, and be ready to discuss how you would ensure adherence.
✨Prepare for Client-Facing Scenarios
As this role is client-facing, practice articulating your thoughts clearly and confidently. Prepare for questions about how you would engage with clients, manage expectations, and communicate technical concepts to non-technical stakeholders.
