At a Glance
- Tasks: Design and implement AI solutions for diverse clients across various sectors.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Flexible working environment, professional development, and a diverse culture.
- Other info: Hybrid work model with opportunities for travel and growth.
- Why this job: Shape the future of AI in finance and beyond while building your career.
- Qualifications: Strong skills in Python/TypeScript and cloud engineering; consulting experience is a plus.
The predicted salary is between 55000 - 65000 € 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 / Manchester / Birmingham / Edinburgh / Belfast— Hybrid with client-site travel
Contract: Permanent, full-time
Why EY — and why FS: Within EY’s FS, you’ll help leading banks, insurers and capital-markets firms move from AI experimentation to reliable production adoption — integrating systems with enterprise data, security and governance. You’ll be part of a growing engineering capability shaping AI-enabled operating models for complex financial institutions.
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. Strengthen your foundations through the Applied AI Engineering Academy while taking on more responsibility for solution shaping and stakeholder engagement.
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 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 Consultant - Applied AI Engineer, 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. With opportunities for professional growth through our Applied AI Engineering Academy and exposure to diverse sectors, employees can develop future-focused skills while contributing to meaningful projects that shape the future of industries. Our hybrid working model, combined with a commitment to employee well-being and flexibility, makes EY a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant - Applied AI Engineer, 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 as a Senior Consultant. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves hands-on engineering, be ready to discuss your experience with Python, TypeScript, and cloud engineering. Practice explaining complex concepts in simple terms—this will impress your interviewers!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to tackle hypothetical scenarios related to AI systems and client needs. Think about how you would approach designing RAG pipelines or integrating microservices—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining EY and contributing to building a better working world.
We think you need these skills to ace Senior Consultant - Applied AI Engineer, TC in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Consultant 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!
Showcase Your Consulting Skills:Since this role involves client-facing work, emphasise your stakeholder engagement and communication skills. Share examples of how you've successfully collaborated with teams or clients in the past. We love seeing those consulting behaviours in action!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's relevant to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website:Don't forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen on 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 Python, TypeScript, and the various AI 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 the interviewers.
✨Showcase Your Consulting Skills
Since this role involves client-facing responsibilities, practice articulating your stakeholder engagement strategies. Prepare examples of how you've effectively communicated complex technical concepts to non-technical clients. This will demonstrate your ability to bridge the gap between technology and business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach designing and implementing RAG pipelines or handling operational handovers. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Emphasise Continuous Improvement
EY values a product mindset and continuous improvement. Be ready to discuss how you've contributed to shaping MVP scopes or capturing reusable patterns in past projects. Highlighting your commitment to iterative development and learning will resonate well with the interviewers.
