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- 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 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 preferred.
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: FP&A
Contact Detail:
FP&A Recruiting Team
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.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to tackle case studies or hypothetical scenarios related to AI implementation. Think about how you would approach challenges in different sectors like finance or public services.
✨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, 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 Engineering Skills: When detailing your experience, focus on your hands-on engineering capabilities. Mention specific projects where you designed and implemented AI systems or microservices. This is your chance to shine, so let us know what you've built!
Communicate Clearly: Since consulting involves a lot of stakeholder engagement, make sure your application reflects your ability to communicate complex ideas simply. Use clear language and structure your application well, so it’s easy for us to see your potential.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at FP&A
✨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 these topics confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented AI solutions or worked with cloud engineering. Think about how you’ve tackled challenges in past projects, especially in regulated environments. This will demonstrate your hands-on experience and ability to adapt to different sectors.
✨Engage with Stakeholders
Since this role involves client-facing work, practice how you communicate technical concepts to non-technical stakeholders. Be ready to explain how you translate requirements into engineering tasks and how you’ve driven adoption through testing and iteration in previous roles.
✨Emphasise Continuous Improvement
Discuss your approach to shaping MVP scope and backlog management. Highlight any experiences where you’ve contributed to reusable patterns or shared accelerators. This shows that you not only deliver but also think about long-term improvements and efficiencies.