At a Glance
- Tasks: Lead technical delivery for AI projects, ensuring smooth deployment and integration with customer teams.
- Company: Join OpenAI, a leader in AI innovation, fostering a collaborative and dynamic work environment.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Travel up to 50% and engage directly with clients in various sectors.
- Why this job: Make a real impact by transforming cutting-edge research into practical solutions for customers.
- Qualifications: 7+ years in technical delivery, strong AI knowledge, and excellent communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Overview
Open AI’s Forward Deployed Engineering (FDE) team partners with customers to transform research breakthroughs into production systems.
This role is based in London and supports a hybrid work model with up to 50% travel.
Responsibilities
- Own the technical delivery plan for multiple interdependent workstreams, translating business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
- Run day‑to‑day engineering execution, tracking and driving delivery across Open AI FDE and customer teams, keeping progress unblocked and sequenced.
- Make real‑time trade‑offs on scope and priority to protect the critical path.
- Embed with customer teams to land production deployments, map workflows, shape tools/integrations, and translate requirements into a delivery plan.
- Lead onboarding, adoption, and change management for deployed systems.
- Partner with Product and Research to ensure platform components and research workstreams are ready to support deployment goals.
- Codify solution patterns and evaluations, extracting reusable patterns and packaging field signals to improve product and models.
- Own value cases and ROI, setting impact hypotheses, baselines, and KPIs; run pre‑/post‑deployment measurement and report to executive sponsors.
Qualifications
- 7+ years of customer‑facing technical delivery leadership with a track record of leading large, complex, high‑stakes customer engagements where outcomes depended on tight coordination and fast decision‑making, ideally involving AI.
- Experience shipping AI/LLM systems, with a strong understanding of solution patterns, integration basics, and production pitfalls.
- Excellent ability to navigate high ambiguity environments, simplify complex and dynamic work, and move fluidly between system‑level understanding and execution‑level detail.
- Strong technical fluency and sequencing instincts, confident discussing technical details, pressure‑testing architectures, and making trade‑offs.
- Strategic thinker capable of recognizing broader trends across deployments and connecting customer needs to scalable, reusable solutions.
- Translator with executive presence who can articulate complex technical trade‑offs to business leaders and convert strategy into day‑to‑day execution.
- Enjoy on‑site customer engagement (often 25‑50% of the time, sometimes higher).
- Expertise in at least one major sector (e. g., healthcare, energy, financial services, semiconductors, IT) to enhance solution framing and credibility.
- E&E Statement
Open AI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.
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Technical Deployment Lead, Forward Deployed Engineering - London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Deployment Lead, Forward Deployed Engineering - 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 Doist 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 Doist.
✨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 Doist.
✨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 Doist 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 Technical Deployment Lead, Forward Deployed Engineering - 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 Doist.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist 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 Doist
✨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 Doist 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.
