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For Companies At a Glance
- Tasks: Collaborate on AI solutions for diverse clients in finance, public sector, and more.
- Company: Leading firm specialising in Applied AI Engineering with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Gain exposure to cutting-edge technologies and diverse regulatory environments.
- Why this job: Join a dynamic team shaping the future of AI across various industries.
- Qualifications: Strong skills in Python/TypeScript, cloud engineering, and consulting behaviours.
The predicted salary is between 60000 - 80000 £ per year.
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.
What you'll do
- 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.
Senior Consultant - Applied AI Engineer, TC employer: Ernst & Young
Contact Detail:
Ernst & Young Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant - Applied AI Engineer, TC
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to the role. Think about how your experience with Python, microservices, and cloud tech can solve real-world problems.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Consultant - Applied AI Engineer, TC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python/TypeScript expertise and any relevant cloud engineering experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about applied AI engineering. Share specific examples of how you've collaborated with stakeholders or implemented solutions in past roles.
Showcase Your Projects: If you've worked on any projects involving LLMs, microservices, or cloud technologies, make sure to include them! We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates from our team!
How to prepare for a job interview at Ernst & Young
✨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. Being able to discuss your hands-on experience with LLMs and cloud engineering will show you’re the real deal.
✨Showcase Your Consulting Skills
Prepare to demonstrate your stakeholder engagement abilities. Think of examples where you’ve effectively communicated complex technical concepts to non-technical clients. This will highlight your consulting behaviours and make you stand out as a candidate who can bridge the gap between tech and business.
✨Be Ready for Problem-Solving Scenarios
Expect to tackle some real-world problems during the interview. Practice explaining how you would approach designing RAG pipelines or implementing microservices. This will not only showcase your technical skills but also your product mindset and ability to think critically under pressure.
✨Understand the Regulatory Landscape
Since you’ll be working across various sectors, it’s crucial to have a grasp of different regulatory environments. Familiarise yourself with the challenges faced by financial institutions and government organisations regarding AI. This knowledge will help you articulate how you can contribute to responsible AI practices.