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- Tasks: Lead AI engineering projects and mentor teams to deliver innovative solutions.
- Company: Join EY, a global leader in shaping the future with cutting-edge technology.
- Benefits: Flexible working, diverse culture, and opportunities for professional growth.
- Other info: Hybrid work model with travel opportunities across the UK.
- Why this job: Make a real impact in AI across various sectors while developing your skills.
- Qualifications: Experience in software engineering and applied AI; leadership skills are a plus.
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: FP&A
Contact Detail:
FP&A 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! Reach out to current or former EY employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Applied AI Engineering team.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python, TypeScript, and cloud architecture skills. Practice explaining complex concepts simply, as you'll need to engage with senior stakeholders.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss how you've mentored others or led projects in the past. EY values those who can guide teams and shape engineering approaches.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining EY and contributing to building a better working world.
We think you need these skills to ace Senior Applied AI Engineer (Manager) TC in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Applied AI Engineer role. Highlight your experience with Python, cloud architecture, and any relevant AI projects. We want to see how your skills align with what we’re looking for!
Showcase Your Leadership Skills: Since this is a managerial position, it’s crucial to demonstrate your leadership abilities. Share examples of how you’ve mentored engineers or led technical projects in the past. We love seeing candidates who can inspire and guide teams!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate candidates who can communicate effectively, especially in a client-facing role like this one.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team at EY.
How to prepare for a job interview at FP&A
✨Know Your Tech Inside Out
As a Senior Applied AI Engineer, you'll need to demonstrate your deep understanding of software and systems engineering. Brush up on Python, TypeScript, and distributed systems. Be ready to discuss your experience with CI/CD processes and how you've implemented them in past projects.
✨Showcase Your Leadership Skills
This role involves mentoring engineers and leading technical delivery. Prepare examples of how you've guided teams in the past, shaped engineering approaches, and engaged with senior stakeholders. Highlight your consulting leadership experience, especially in managing budgets and risks.
✨Understand the Regulatory Landscape
EY works across various sectors with different regulatory environments. Familiarise yourself with the compliance requirements in financial services and other industries. Be prepared to discuss how you've navigated these complexities in previous roles and how you can apply that knowledge at EY.
✨Emphasise Continuous Improvement
EY values a product mindset and continuous improvement. Think about how you've contributed to internal knowledge sharing and established best practices in your previous positions. Be ready to share your thoughts on Responsible AI and how you can drive innovation within the team.