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For Companies At a Glance
- Tasks: Join a dynamic team to deliver cutting-edge AI solutions and enhance client experiences.
- Company: EY, a global leader in building a better working world.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting travel opportunities and a vibrant work culture.
- Why this job: Shape the future of AI while collaborating with top industry experts.
- Qualifications: Strong skills in Python/TypeScript and experience with AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
At EY, we’re all in to shape your future with confidence. Join EY and help build a better working world.
Location: London / Manchester / Birmingham / Edinburgh / Belfast – Hybrid with client‑site travel
Contract: Permanent, full‑time
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 foundations through the Applied AI Engineering Academy while increasing 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
- 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.
Senior Consultant - Applied AI Engineer, TC in Edinburgh employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant - Applied AI Engineer, TC in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at EY or similar firms. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Python, TypeScript, and AI. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common technical questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 the team at EY.
We think you need these skills to ace Senior Consultant - Applied AI Engineer, TC in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Consultant role. Highlight your hands-on engineering experience, especially with Python/TypeScript and cloud technologies, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about Applied AI Engineering. Share specific examples of past projects where you’ve collaborated with stakeholders or designed solutions, so we can see your consulting behaviours in action.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills; demonstrate how you’ve used them to solve real-world problems. We love seeing candidates who can think critically and apply their knowledge effectively.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at EY
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, TypeScript, and the other tech 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 solutions, especially around RAG pipelines or AI capabilities. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your hands-on experience.
✨Engage with Stakeholders
Since this role involves client-facing work, practice how you communicate technical concepts to non-technical stakeholders. Think of ways to demonstrate your consulting behaviours and how you’ve successfully engaged with clients in the past.
✨Be Ready for a Technical Challenge
Expect some technical questions or even a coding challenge during the interview. Brush up on your cloud engineering skills, especially with Azure, Docker, and Kubernetes. Practising coding problems related to data engineering can also give you an edge.