At a Glance
- Tasks: Design and deliver AI-enabled systems in a collaborative environment.
- Company: Join a leading tech consultancy with a focus on innovation.
- Benefits: Competitive salary, flexible hybrid work, and continuous learning opportunities.
- Other info: Participate in hackathons and innovation challenges while growing your career.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
- Qualifications: Experience in software engineering, particularly with Python or TypeScript.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Salary: Competitive
Date: 9 Apr 2026
Requisition ID: 1700053
Location: UK (London CP / Manchester / Birmingham / Edinburgh / Belfast) – Hybrid working with client-site travel as required.
Contract: Permanent, full-time
The Opportunity
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.
What you’ll do
- Client‑Facing Engineering & Delivery: Collaborate with client stakeholders and internal teams to understand requirements and translate them into engineering tasks and deliverables. Contribute to workshops, demos and solution reviews while communicating technical considerations clearly to mixed audiences. Support the adoption of delivered solutions through testing, iteration and feedback cycles.
- Solution Design & Implementation: Design and implement AI‑enabled components such as RAG pipelines, agents and supporting microservices. Integrate solutions with enterprise data sources, APIs and existing platforms while maintaining reliability and security standards. Apply responsible‑AI guardrails, monitoring and operational practices to ensure safe and maintainable deployments.
- Product Mindset & Continuous Improvement: Contribute to defining MVP scope, engineering tasks and delivery milestones within the squad. Implement evaluation approaches, monitoring and dashboards to understand system performance and user impact. Capture reusable engineering patterns and contribute to shared accelerators used across projects.
What we’re looking for
Essential skills & experience:
- Software engineering: Python and/or TypeScript, async patterns, testing/CI, API design and microservice fundamentals.
- RAG engineering: retrieval strategies, chunking/indexing, hybrid search, grounding and hallucination mitigation.
- Applied AI/ML: hands‑on with LLMs, embeddings and vector databases (FAISS/Milvus/Pinecone).
- LLMOps & evaluation: prompt pipelines, automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML.
- Cloud engineering: Azure (preferred) and/or AWS/GCP; 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 & compliance: privacy‑by‑design, model‑risk, auditability; 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 & graph stores (e.g., Neo4j) and streaming patterns (Event Hub/Kafka).
- Azure/AWS Solutions Architect exposure; 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.
- 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.
Travel & Working Model:
Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location.
Inclusion and accessibility: EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know.
Senior Consultant, Forward Deployed Engineer, TC, FS employer: 慨正橡扯
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Senior Consultant in our Forward Deployed Engineer team, you'll engage in high-impact projects with leading organisations while benefiting from continuous development through the FDE Academy, flexible hybrid working arrangements, and opportunities for professional growth. Join us in London to be part of a diverse team that values inclusion and empowers you to make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, Forward Deployed Engineer, TC, FS
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in AI and engineering. Be ready to discuss how your skills in Python, TypeScript, and cloud engineering can help them tackle their challenges.
✨Tip Number 3
Show off your problem-solving skills! During interviews, be prepared to walk through your thought process on tackling complex engineering tasks. Use examples from your past work to illustrate how you’ve successfully delivered solutions.
✨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 our team at StudySmarter.
We think you need these skills to ace Senior Consultant, Forward Deployed Engineer, TC, FS
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Consultant role. Highlight your experience with AI systems, software engineering, and client delivery. We want to see how your skills align with what we’re looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with Python, TypeScript, and any cloud platforms like Azure or AWS. We love seeing hands-on experience with AI/ML and engineering practices.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your past projects and achievements. We appreciate clarity, especially when it comes to complex topics!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the essential skills listed in the job description, like Python, TypeScript, and AI/ML concepts. Brush up on your knowledge of RAG engineering and cloud platforms like Azure or AWS. Being able to discuss these topics confidently will show that you're ready for the role.
✨Prepare for Client-Facing Scenarios
Since this role involves collaborating with clients, practice explaining complex technical concepts in simple terms. Think about how you would communicate your ideas during workshops or solution reviews. Role-playing with a friend can help you get comfortable with this.
✨Showcase Your Problem-Solving Skills
Be ready to discuss past experiences where you’ve tackled complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help interviewers see your thought process and how you approach challenges in real-world environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and client delivery. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
