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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 members.
- Other info: Dynamic role with opportunities to shape the future of AI in regulated industries.
- Why this job: Make a real impact in AI governance while working with top-tier clients.
- Qualifications: 3+ years engineering experience, strong Python or TypeScript skills, and customer-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 City of London employer: governr
Contact Detail:
governr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer (Expert) in City of 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 a lead on that perfect Forward Deployed Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python or TypeScript. When you’re in front of potential employers, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of cloud APIs, IAM, and event-driven architectures. Be ready to discuss how you’ve tackled messy enterprise environments before – they’ll want to see that you can handle the real-world challenges of the job.
✨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, we love seeing candidates who are proactive about their job search. Let’s get you in front of those decision-makers!
We think you need these skills to ace Forward Deployed Engineer (Expert) in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your experience with client-facing roles and any relevant technical skills, especially in Python or TypeScript. We want to see how your background aligns with our needs!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects where you’ve worked with cloud APIs, IAM, or event-driven architectures. We love seeing how you’ve tackled messy enterprise environments, so share those stories!
Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain your experiences and how they relate to the role. Remember, we’re looking for someone who can communicate effectively with senior stakeholders!
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’re considered for the role. Plus, it shows you’re keen on joining our team at governr!
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 knowledge too, so you can confidently discuss how to navigate messy enterprise environments.
✨Understand the Client's Needs
Familiarise yourself with the specific challenges faced by CROs, CISOs, and Heads of AI in financial services. Being able to articulate how governr addresses their pain points will show that you’re not just an engineer, but a valuable partner in their journey.
✨Prepare for Real-World Scenarios
Expect to tackle practical problems during the interview. Think about how you would lead a technical delivery or run agent moments live in client environments. Practising these scenarios will help you demonstrate your problem-solving skills effectively.
✨Show Your Engagement Skills
Since this role involves working closely with clients, be ready to showcase your ability to build trust and credibility. Prepare examples of past experiences where you’ve successfully engaged with senior stakeholders, especially in high-pressure situations.