At a Glance
- Tasks: Lead AI engineering projects across diverse sectors and mentor a talented team.
- Company: Join EY, a global leader in building a better working world.
- Benefits: Flexible work environment, professional development, and a diverse culture.
- Other info: Opportunities for career growth and exposure to cutting-edge technologies.
- Why this job: Shape the future of AI while making a real impact on various industries.
- Qualifications: Experience in software engineering and applied AI; leadership skills are a plus.
The predicted salary is between 81000 - 99000 £ 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., As AI complexity and regulatory expectations rise, FS clients need technical leaders who can architect, govern and operate AI at scale.
EY's engineering-led approach - and our collaboration with Microsoft/Open AI via Azure Open AI Service - positions our teams to deliver safe, reliable solutions embedded in enterprise environments.
You will guide squads and shape architectures to meet these demands., Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production-ready (reliability, observability, security, runbooks).
Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.
- Shape engineering approaches; engage senior stakeholders; articulate trade-offs; ensure engineering quality across squads and complex client environments.
- Solution architecture & implementation leadership
- Architect enterprise-grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.
- Product mindset & continuous improvement
- Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership., Deep software/systems engineering (Python/Type Script, distributed systems, CI/CD).
- Applied-AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
- Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
- Data engineering depth (Spark/Databricks; ETL/ELT); cloud-native data + AI architectures.
- Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
- Consulting leadership: stakeholder, budget and risk management; team leadership., Graph/big-data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.
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.
Learn more.
EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
A Ph D in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.
EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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Senior Applied AI Engineer (Manager) TC employer: Ernst & Young
EY is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a commitment to flexible working arrangements and a comprehensive Total Rewards package, employees can tailor their benefits to suit their needs while contributing to cutting-edge cyber security solutions in a rapidly expanding global practice. Join us in London, Manchester, or Scotland, and be part of a team that values collaboration, innovation, and making a meaningful impact in the world of cyber security.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer (Manager) TC
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Ernst & Young or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Ernst & Young.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Ernst & Young.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Ernst & Young that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Applied AI Engineer (Manager) TC
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Ernst & Young.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ernst & Young and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Ernst & Young
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Ernst & Young uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
