At a Glance
- Tasks: Join a dynamic team to create AI-powered solutions and tackle real-world challenges.
- Company: Forward Deployed Engineering team at EY, known for innovation and collaboration.
- Benefits: Competitive pay, flexible hybrid work, learning opportunities, and participation in hackathons.
- Other info: Engage in a supportive environment with excellent growth potential and diverse projects.
- Why this job: Make an impact with cutting-edge AI technology while developing your skills.
- Qualifications: Basic software engineering skills and a passion for AI and continuous learning.
The predicted salary is between 40000 - 55000 £ per year.
Overview
Forward Deployed Engineer combining software engineering, product thinking, and client delivery to build real AI-powered solutions within a delivery squad.
You will collaborate with engineers, designers and client teams to translate complex problems into reliable systems and develop foundational AI engineering and product skills, including design, build and integration of LLM/RAG features, supporting discovery and user stories, and adhering to EY standards for quality, security and documentation.
Responsibilities
- Client-facing engineering and delivery: support discovery workshops by capturing requirements and translating them into user stories and acceptance criteria.
- Support demos, show-and-tells and feedback cycles; prioritise fixes and enhancements with the squad.
- Work effectively in diverse, multidisciplinary teams and produce client-ready artefacts to agreed timelines.
- Solution design and implementation: build LLM/RAG features and integrations under guidance, contributing clean, tested, maintainable code.
- Follow EY reference architectures, security patterns and evaluation baselines; contribute to documentation and reusable accelerators.
- Product mindset and continuous improvement: contribute to documentation and reusable components/accelerators that help teams deliver consistently.
Learn field lessons from client environments and feed back through the squad\'s delivery routines and artefacts.
Qualifications and Skills
- Software engineering fundamentals (algorithms, data structures, APIs, microservice basics).
- Programming in Python and/or Type Script; exposure to async patterns, testing, and version control (Git).
- LLM/RAG basics: embeddings, prompt design, retrieval patterns; willingness to learn evaluation and guardrails.
- Intro experience with data wrangling for structured and unstructured data; feature engineering fundamentals.
- Cloud fundamentals (Azure preferred); containers (Docker) and CI/CD exposure.
- Understanding of responsible-AI principles, privacy and basic model-risk concepts; eagerness to learn UK regulatory context (FCA, PRA, GDPR).
- Clear written and verbal communication; ability to operate in client environments and collaborate with security, risk and architecture teams.
- Growth mindset: curiosity, continuous learning, and ability to adapt quickly to new techniques and tools.
- Nice to have
- Familiarity with ML concepts (regression, classification, clustering) and deep-learning frameworks (Py Torch/Tensor Flow).
- Foundational knowledge of data platforms (Spark/Databricks) and event/streaming patterns (e. g., Event Hub/Kafka).
- Travel and Location
Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location.
What we offer
High-impact work with leading organisations within a collaborative engineering-led AI team.
Includes a structured FDE Academy and cohort learning, opportunities to participate in hackathons and innovation challenges, learning and certification support across cloud and AI technologies, competitive compensation and benefits, and flexible hybrid working arrangements depending on client needs.
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StudySmarter Expert Advice🤫
We think this is how you could land Consultant, AI Engineer TC FS 1 in London
✨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 Consultant, AI Engineer TC FS 1 in London
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.
