At a Glance
- Tasks: Lead AI projects, build prototypes, and deliver client solutions in a dynamic environment.
- Company: Join Enablis, an innovative AI-native consultancy transforming technology delivery.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a collaborative team with excellent career advancement opportunities.
- Why this job: Make a real impact with cutting-edge AI technology and work on exciting projects.
- Qualifications: Strong software engineering skills and experience in AI and client delivery.
The predicted salary is between 81000 - 99000 £ per year.
About Enablis
At Enablis, we deliver complex, high-impact technology transformation. We're building a genuinely AI-native consultancy, not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow. We are the case study: Enablis runs AI-first, so every recommendation comes from practitioners.
The Role
This role is the technical spearhead of our new-world work. Your responsibilities look like those of a startup CTO: you'll work in a small pod, typically with a Delivery Lead and own end-to-end technical execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model.
A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven POC becomes an MVP within weeks. Between engagements, you extend our internal AI platform and codify what you proved in the field into the accelerators, templates and playbooks that make every engagement faster than the last.
What You'll Be Doing
- Building working AI proofs on real client data during Assess engagements, the prototype is the discovery tool, built while the value case is made
- Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration)
- Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony
- Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry, designed inside the build, not bolted on
- Proving trustworthiness with evals: golden datasets, automated evaluation pipelines, accuracy and drift monitoring and hill-climbing on the results
- Wrangling client data: pipelines, messy edge cases, integrations that are harder than they look
- Owning and evolving our internal AI platform; codifying repeatable field patterns into reusable Enablis assets
- Leading advanced technical sessions in our upskilling programme, and upskilling client engineers during Transform engagements
- Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls
What We're Looking For
Essential
- Strong software engineering foundations, clean code, testing, CI/CD, production mindset, with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern languages
- Full-stack capability: enough front-end, back-end and data engineering to build the whole thing yourself
- Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted
- Evaluation-driven habits: golden datasets, eval frameworks, guardrails, you measure whether it works rather than asserting it does
- Client-facing delivery experience, and comfort with the constraints of enterprise environments: security, compliance, legacy integration
- High agency and comfort with ambiguity, you can operate with minimal supervision in a client's world
- A value instinct: you can explain what a build is worth in business terms, and say when something isn't worth building
Desirable
- Vector databases, embeddings, fine-tuning
- Cloud experience (AWS/Google preferred)
- Former founder or startup experience
- Open-source contributions or visible AI side projects
Apply today
Become an Enabler! We’re looking for passionate, talented tech experts who want to work on projects that matter.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Lead Deployed AI Engineer in City of London employer: Enablis
At Enablis, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. As an AI Engineer (Consultant), you'll have the unique opportunity to work at the forefront of technology transformation, contributing to our internal AI platform while also engaging with clients to deliver impactful solutions. We offer robust employee growth opportunities through our upskilling programme and a supportive environment that encourages creativity and hands-on development in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Deployed AI Engineer in City of 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 Enablis 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 Enablis.
✨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 Enablis.
✨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 Enablis 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 Lead Deployed AI Engineer in City of 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 Enablis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Enablis 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 Enablis
✨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 Enablis 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.
