At a Glance
- Tasks: Design and deliver AI-enabled systems for major organisations, ensuring reliability and security.
- Company: Join EY, a leader in engineering-led AI with a collaborative culture.
- Benefits: Competitive pay, continuous learning, flexible hybrid work, and exciting projects.
- Other info: Engage in hackathons and innovation challenges while growing your career.
- Why this job: Make a real impact by building cutting-edge AI solutions in a dynamic environment.
- Qualifications: Experience in software engineering and client delivery; familiarity with AI technologies.
The predicted salary is between 60000 - 80000 € per year.
hackajob is collaborating with EY to connect them with exceptional professionals for this role. 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.
EY is investing in engineering-led AI at scale. EY has been selected for the inaugural Frontier Firm AI Initiative — a collaboration between Microsoft and Harvard’s Digital Data Design Institute — recognising EY’s leadership in shaping enterprise-grade human–AI operating models. In parallel, EY is expanding its collaboration with OpenAI and Microsoft, bringing advanced AI capabilities to clients through Microsoft’s secure Azure OpenAI Service. Joining this team means being part of a growing engineering capability focused on building production-grade AI systems for major organisations across sectors.
Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will contribute to the design and delivery of AI-enabled systems that operate reliably in enterprise environments. Working within a delivery squad, you will take ownership of defined engineering components and support the development of production-ready AI capabilities. You will work at the intersection of software engineering, product thinking and client delivery, helping translate complex problems into working solutions deployed in real-world environments. In this Senior Consultant role, you will operate as a hands-on engineer within a squad, designing and implementing AI capabilities such as agents, RAG pipelines and supporting services while ensuring solutions meet enterprise standards for reliability, security and governance.
What you'll do
- Client-facing engineering: Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM.
- Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data sources and enterprise systems; runbooks and operational handover.
- Product delivery: workshop facilitation, PRDs, user stories and acceptance criteria; backlog ownership; roadmap and release planning.
- Measurement: define value/adoption metrics; implement simple dashboards or analysis to evidence impact and inform iteration.
- Responsible AI awareness of UK expectations (FCA, PRA, GDPR).
- Consulting behaviours: client‑ready communication, time management and collaboration in diverse, multi‑disciplinary teams.
Nice to have
- Document optional governance/model‑risk/responsible‑AI credentials.
- Technical Certifications (preferred): Microsoft Azure AI Engineer Associate (AI‑102) or Azure Data Scientist Associate. AWS Machine Learning Specialty or Google Professional ML Engineer. Databricks (Data Engineer/ML Engineer) and Kubernetes (CKA/CKAD). Azure/AWS Solutions Architect; optional model‑risk/responsible‑AI governance credentials.
How you work
You’re comfortable being hands-on and shipping in short cycles while staying pragmatic about trade-offs. You can explain trade-offs simply and earn trust with clients and teammates; you operate well in ambiguity and prioritise quickly. You care about quality, operability and safe iteration (runbooks/observability/rollback).
What we offer
High-impact work with leading organisations across sectors, within a collaborative engineering-led AI capability. You will benefit from:
- Continuous development through the FDE Academy, strengthening the technical capabilities required to build and operate AI systems in production environments.
- Opportunities to participate in hackathons, engineering showcases and innovation challenges.
- Learning and certification support across cloud, AI and engineering platforms.
- Competitive compensation and benefits.
- Flexible hybrid working arrangements depending on client needs.
Senior Consultant, AI Engineer employer: hackajob
At EY, we pride ourselves on being a leading employer that fosters a culture of innovation and collaboration. Our commitment to continuous development through the FDE Academy ensures that our employees are equipped with the latest skills in AI and engineering, while our flexible hybrid working arrangements promote a healthy work-life balance. Join us in shaping a better working world, where your contributions will have a meaningful impact across diverse sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, AI Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and engineering space. Attend meetups, webinars, or even hackathons to meet potential colleagues and employers. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and engineering. This is your chance to demonstrate what you can do beyond just a CV. Make sure to include any relevant certifications too!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. Think about how you can explain complex concepts simply, as you'll need to communicate effectively with clients and team members alike.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals to join us at StudySmarter, so make sure you put your best foot forward!
We think you need these skills to ace Senior Consultant, AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Consultant, AI Engineer role. Highlight relevant experience and skills that match the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to EY's mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any AI projects or have relevant certifications, make sure to showcase them in your application. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at EY!
How to prepare for a job interview at hackajob
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to Kubernetes, Docker, and Azure. Be ready to discuss how you've applied these technologies in real-world scenarios, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex engineering problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Understand EY's Vision
Familiarise yourself with EY's initiatives in AI and their collaboration with Microsoft and Harvard. Being able to discuss how you can contribute to their mission of building production-grade AI systems will demonstrate your genuine interest in the company and its goals.
✨Practice Client-Facing Scenarios
Since this role involves client interaction, practice articulating technical concepts in a way that's accessible to non-technical stakeholders. Role-playing potential client conversations can help you feel more confident and prepared to communicate effectively during the interview.
