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For Companies At a Glance
- Tasks: Lead AI deployments, integrate systems, and translate regulations into actionable controls.
- Company: Join governr, a pioneering firm in AI control for finance and healthcare.
- Benefits: Competitive salary, equity, and direct access to founding team leaders.
- Other info: Dynamic role with opportunities to shape the future of AI control infrastructure.
- Why this job: Be at the forefront of AI innovation and make a real impact in regulated industries.
- Qualifications: 3+ years engineering experience, strong Python or TypeScript skills, and client-facing experience.
The predicted salary is between 80000 - 100000 £ 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: governr
Contact Detail:
governr Recruiting Team
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! If you’ve got a portfolio or any projects that highlight your engineering prowess, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for the unexpected! In a role like Forward Deployed Engineer, you’ll need to think on your feet. Brush up on common challenges in AI deployments and be ready to discuss how you’d handle them. This shows you’re not just technically savvy but also adaptable.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to reflect your understanding of the role and how you can contribute to our mission. Let’s get you in front of the right people!
We think you need these skills to ace Forward Deployed Engineer (Expert) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application for the Forward Deployed Engineer role. Highlight your experience with client-facing roles and technical delivery, as well as your familiarity with AI systems and regulatory frameworks. We want to see how you fit into our unique environment!
Showcase Your Technical Skills: Don’t hold back on showcasing your engineering skills! Whether it’s Python, TypeScript, or your experience with cloud APIs, make sure to detail your technical prowess. We’re looking for someone who can dive deep into integrations and navigate complex environments.
Demonstrate Your Problem-Solving Ability: We love candidates who can think on their feet! Use your application to illustrate how you've tackled ambiguous situations in the past. Share examples of how you’ve successfully delivered projects in messy enterprise environments – that’s what we’re all about!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at governr
✨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 skills, so you can confidently discuss how to navigate messy enterprise environments during the interview.
✨Understand the Client's Needs
Familiarise yourself with the 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 specific examples from your past experience that demonstrate your ability to deliver solutions.
✨Prepare for Technical Discussions
Expect to engage in deep technical conversations, especially around integrations and regulatory frameworks like the EU AI Act. Practice explaining complex concepts clearly and concisely, as you’ll need to communicate effectively with senior stakeholders.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios related to AI deployments and risk management. Think through how you would approach ambiguous situations and demonstrate your bias towards action and getting things done, even when the path isn’t clear.