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For Companies At a Glance
- Tasks: Lead AI engineering projects and mentor a diverse team of engineers.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Flexible working, professional development, and a diverse culture.
- Other info: Hybrid work model with opportunities for international travel.
- Why this job: Shape the future with cutting-edge AI solutions across various sectors.
- Qualifications: Experience in software engineering, cloud architecture, and applied AI.
The predicted salary is between 70000 - 90000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
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
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).
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Senior Applied AI Engineer (Manager) TC in London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer (Manager) TC in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at EY. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Share your work on platforms like GitHub or LinkedIn to demonstrate your expertise in applied AI and engineering.
✨Tip Number 3
Prepare for those interviews! Research EY’s values and recent projects in AI. Be ready to discuss how your experience aligns with their mission to build a better working world. Practice common technical questions and be prepared to showcase your problem-solving skills.
✨Tip Number 4
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 EY and contributing to their innovative projects.
We think you need these skills to ace Senior Applied AI Engineer (Manager) TC in London
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 Python, cloud architecture, and any relevant AI projects you've led. We want to see how you can contribute to our diverse portfolio!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applied AI and how your background aligns with our mission at EY. Don’t forget to mention your leadership experience and how you’ve mentored others in the field.
Showcase Your Projects: If you've worked on any notable AI projects or have experience with distributed systems, make sure to include those details. We love seeing real-world applications of your skills, so share the impact your work has had on previous clients or teams.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s build a better working world together!
How to prepare for a job interview at EY
✨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 practices, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Senior Applied AI Engineer (Manager), you'll need to demonstrate your ability to lead teams and mentor engineers. Prepare examples from your past experiences where you've successfully led projects or guided team members through complex challenges.
✨Understand the Business Context
Familiarise yourself with EY’s diverse client portfolio and the sectors they operate in. Be ready to discuss how your technical skills can address specific challenges faced by clients in financial services, public sector, and beyond.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and decision-making process. Think about how you would approach architectural decisions or handle operational readiness in a production environment, and be ready to articulate your thought process clearly.