At a Glance
- Tasks: Lead technical delivery and integrate AI systems for clients in financial services.
- Company: Join governr, a pioneering company in AI control infrastructure.
- Benefits: Competitive salary, equity, and direct access to founding team members.
- Other info: Dynamic role with opportunities to shape the future of AI in regulated industries.
- Why this job: Make a real impact by solving complex AI deployment challenges for major clients.
- Qualifications: 3+ years engineering experience with strong Python or TypeScript skills.
The predicted salary is between 70000 - 90000 € per year.
Who we are
governr is the system of record for AI in regulated financial services, healthcare and government. The independent control layer above security tools, GRC point tools and foundation models. Buyers are CROs, CISOs, and Heads of AI at banks, PE firms, wealth managers and insurers. Their problem is concrete: AI is doing material work in their firms and they don't have a control infra to manage material business risks, regulatory exposures and deployments with confidence.
Forward Deployed Engineers sit inside that problem. You lead with client teams during the AI Atlas sprint, turn their environment into working deployments of governr, and enable them to scale their AI deployments. You are equal parts engineer, domain consultant and product input channel.
What you'll do
- Lead technical delivery of Atlas Program engagements: discovery against the client estate, mapping AI systems and digital workers to our 60 risk factors and 80+ agent-specific controls, producing the board-ready output.
- Deliver integrations into client stacks: cloud (AWS/Azure/GCP), identity (Okta, Entra), security signal producers (Wiz, CrowdStrike, Noma), GRC (OneTrust, Vanta), and foundation model providers (Anthropic, OpenAI, Bedrock, Palantir).
- Translate regulatory frameworks (EU AI Act, FCA PS26/2, DORA, FINRA 25-07, SS1/23) into deployed controls inside the platform, working with the regulatory and product teams.
- Run the agent moments live in client environments: surface orphaned agents, quantify exposure, and walk a CRO through what they're actually looking at.
- Feed the product roadmap. You see what works in the room and what breaks at deployment and what our clients demand in addition to excel.
- Own technical relationships post-deployment. You are the engineer the client trusts.
What we're looking for
- 3+ years engineering experience, ideally with at least one stint in a customer-facing or deployment role (FDE, solutions engineer, delivery engineer, technical consultant).
- Strong Python or TypeScript. Comfortable across cloud APIs, IAM, and event-driven architectures. You can read a Terraform stack and a CloudTrail log and tell us where the AI is hiding.
- Track record of shipping integrations against messy enterprise environments, not just clean greenfield builds.
- Credibility in front of senior technical and risk stakeholders. You can hold a room with a CISO and a Head of Model Risk in it. Security and risk fundamentals are essential.
- Bias to operating in ambiguity. Engagement sprints are always scoped, but never tidy. It's our job to get this all over the line and help them.
- Financial services background, bonus: prior work on agentic, model risk.
What you'll get
- Founding-team-adjacent seat. You work directly with the CEO, CPO, and CTO, and you are in front of clients from week one.
- A category is being built in real time. Control infrastructure for AI is the Wiz-for-cloud parallel we are early and the structural moat is real.
- Competitive salary, equity, and the seed-stage upside to match.
- Real clients with real pain. PE funds, mid-tier banks, insurers and wealth managers across the UK, EU, and US.
Forward Deployed Engineer (Expert) in London employer: LinkedIn
At governr, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Forward Deployed Engineer, you will have the unique opportunity to work closely with our founding team and directly engage with clients from day one, tackling real challenges in AI deployment within regulated industries. We offer competitive salaries, equity options, and a commitment to employee growth, ensuring that you are not only part of a pioneering company but also positioned for meaningful career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (Expert) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, don’t hold back. Share your past experiences, especially those customer-facing roles. Talk about how you’ve tackled complex problems and delivered results. This is your time to shine!
✨Tip Number 3
Be ready to adapt! The tech world is always changing, and so are client needs. Make sure you’re comfortable discussing how you can pivot and adjust your approach based on what clients require. Flexibility is key, especially when dealing with regulatory frameworks.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. It shows you’re genuinely interested in being part of our team. Plus, it’s a great way to ensure your application gets into the right hands quickly.
We think you need these skills to ace Forward Deployed Engineer (Expert) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Forward Deployed Engineer. Highlight your engineering experience, especially in customer-facing roles, and showcase your skills in Python or TypeScript. We want to see how your background aligns with the needs of our clients!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your experience can help us tackle the challenges faced by our clients. Be genuine and let your personality come through – we love seeing the real you!
Showcase Relevant Projects:If you've worked on projects that involved integrations in messy enterprise environments or have experience with cloud APIs, make sure to highlight these! We’re keen to see how you’ve navigated ambiguity and delivered results in complex situations.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re in!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python or TypeScript, as well as cloud APIs and event-driven architectures. Brush up on your Terraform and CloudTrail knowledge too, so you can confidently discuss how to navigate messy enterprise environments during the interview.
✨Understand the Client's Needs
Familiarise yourself with the specific challenges faced by CROs, CISOs, and Heads of AI in financial services. Be ready to discuss how you can help them manage risks and regulatory exposures, and think about examples from your past experience that demonstrate your ability to deliver solutions in client-facing roles.
✨Prepare for Ambiguity
Engagement sprints can be unpredictable, so show that you thrive in ambiguous situations. Think of examples where you’ve successfully navigated uncertainty and delivered results, and be prepared to discuss how you would approach similar challenges at governr.
✨Build Rapport with Stakeholders
You’ll need to establish credibility with senior technical and risk stakeholders. Practice articulating complex ideas clearly and concisely, and prepare to engage in discussions that involve both technical details and high-level strategy. Show that you can hold your own in a room full of experts.
