At a Glance
- 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 environment, professional development, and diverse team culture.
- Other info: Hybrid work model with opportunities for international travel.
- Why this job: Make a real impact in AI across various sectors while advancing your career.
- Qualifications: Strong software engineering skills and experience in applied AI technologies.
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 Société d'Avocats
At EY, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our Applied AI Engineering Academy, which equips you with cutting-edge skills while providing opportunities to lead diverse teams across various sectors. With a flexible hybrid working model and the chance to engage with high-profile clients, EY is the perfect place for those looking to make a meaningful impact in the world of AI.
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 your connections on LinkedIn or at industry events. 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 in AI trends. We want you to be able to showcase your expertise in Python, cloud architecture, and responsible AI practices when you chat with potential employers.
✨Tip Number 3
Don’t forget to tailor your approach for each interview! Research the company and its projects, especially how they apply AI across different sectors. We want you to demonstrate how your experience aligns with their needs and how you can contribute to building a better working world.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our diverse teams and make an impact.
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 you've worked on. 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! This ensures that your application gets to the right people quickly. Plus, it shows us you're serious about joining our team at EY.
How to prepare for a job interview at EY Société d'Avocats
✨Know Your Tech Inside Out
Make sure you’re well-versed in the essential technologies mentioned in the job description, like Python, TypeScript, and cloud architectures. 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 guided a team or managed a project, focusing on how you shaped engineering approaches and engaged stakeholders.
✨Understand the Regulatory Landscape
Since the role involves working with regulated financial institutions and various sectors, it’s crucial to understand the regulatory environments. Familiarise yourself with the compliance requirements and best practices in AI governance, as this will show your readiness to tackle the challenges EY faces.
✨Prepare for Client-Facing Scenarios
Expect to discuss how you would handle client interactions and articulate technical trade-offs. Think about scenarios where you've had to engage with senior stakeholders and how you ensured engineering quality across complex environments. This will highlight your consulting leadership skills.
