At a Glance
- Tasks: Help enterprises deploy AI systems safely and efficiently in real-world environments.
- Company: Dynamo AI, a leader in operationalising AI for enterprises.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and adapting to new technologies.
- Why this job: Make a real impact by solving complex deployment challenges in regulated industries.
- Qualifications: Strong software engineering skills and experience with enterprise integrations.
The predicted salary is between 81000 - 99000 £ per year.
At Dynamo AI, we help enterprises deploy AI systems that are reliable, secure, observable, scalable and production-ready. As organizations accelerate adoption of Generative AI, they face growing challenges around reliability, governance, latency, safety, compliance, and operational control. Dynamo AI provides the infrastructure, evaluation frameworks, and real-time guardrails that allow enterprises to confidently operationalize AI at scale.
Forward Deployed Engineers at Dynamo AI work directly with enterprise customers to deploy Dynamo’s flagship products (DynamoEval, DynamoGuard, AgentWarden) into real-world client environments. This role involves integrating AI guardrails, evaluation frameworks, and agentic observability capabilities into complex enterprise ecosystems — particularly within regulated industries such as financial services, healthcare, and government.
Success in this role requires strong technical depth, curiosity, patience, and the ability to navigate complex operational and governance requirements while helping customers accelerate the path from experimentation to reliable production deployment.
About the Role
We are looking for Lead Forward Deployed Engineers to work directly with enterprise customers to help deploy, integrate, and operationalize AI systems in real-world production environments. You will work closely with customer engineering teams to integrate Dynamo AI’s platform into complex enterprise ecosystems while helping organizations navigate the operational, governance, and technical challenges of deploying AI at scale.
Forward Deployed Engineers act as the technical bridge between customers and Dynamo AI’s product and engineering teams. You will help customers implement AI guardrails, evaluation systems, observability workflows, and deployment architectures that meet enterprise requirements around reliability, security, compliance, and performance.
This role requires strong technical depth, curiosity, patience, and a willingness to work through complex enterprise environments. Many of our customers operate highly regulated systems with deeply embedded legacy infrastructure, approval workflows, and operational constraints. Success in this role comes from being able to understand these environments deeply, collaborate through ambiguity, and help customers incrementally operationalize AI safely and effectively.
You will regularly encounter unfamiliar enterprise systems, architectures, and governance processes — particularly within financial services, healthcare, government, and other regulated sectors. We value engineers who are excited to learn how these environments work and can thoughtfully adapt AI systems to fit real-world operational needs.
In This Role You’ll Solve Real-World Enterprise Problems
- Debug and troubleshoot complex deployment and integration challenges across customer environments
- Navigate ambiguity and adapt solutions to fit real-world operational and regulatory requirements
- Learn and work across a wide range of enterprise systems commonly used in regulated industries
- Balance technical excellence with pragmatism, reliability, security, and customer operational realities
Deploy and Operationalize AI Systems
- Work directly with customer engineering and platform teams to deploy Dynamo AI’s products into enterprise environments
- Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance systems
- Help customers operationalize AI guardrails, evaluations, observability, and monitoring capabilities in production
- Support deployment architectures across cloud, hybrid, and enterprise environments
Bridge Product, Engineering, and Customer Needs
- Translate customer deployment challenges into actionable feedback for product and engineering teams
- Surface patterns and deployment learnings that improve Dynamo AI’s platform and implementation playbooks
- Work cross-functionally with research, engineering, product, and go-to-market teams to improve customer outcomes
- Contribute to scalable deployment methodologies and technical best practices, to enhance release and deployment pipelines
- Assist in building releases, executing deployments, and resolving SaaS platform issues when needed
Partner Closely with Customers
- Work closely with customer stakeholders across engineering, infrastructure, security, risk, compliance, and operations teams
- Understand customer technical environments, operational requirements, and deployment constraints
- Help customers navigate enterprise AI governance, evaluation, and approval workflows required for production deployment
- Partner with internal customer success managers and forward deployed strategists to streamline deployment and operational processes that accelerate enterprise AI governance at scale
You Might Thrive In This Role If You
- Enjoy working directly with customers and solving practical engineering problems
- Are a team player and enjoy working closely with our forward deployed strategists to solve real-world enterprise challenges
- Are curious about how complex enterprises and regulated industries operate
- Have strong motivation to work through operational, governance, and technical constraints in large organizations
- Are excited about deploying frontier AI systems (e.g. DynamoGuard) into real-world production environments to make significant impact
- Enjoy learning new technologies, systems, and infrastructure domains rapidly
- Can communicate effectively with engineers and some non-technical stakeholders
Preferred Qualifications
- Strong software engineering experience, especially in distributed systems, Kubernetes, APIs, platform engineering, and enterprise integrations
- Experience debugging and operating production systems in customer-facing environments
- Ability to navigate complex technical and organizational environments independently
- Strong communication and problem-solving skills
Nice To Have
- Familiarity with Generative AI systems, LLM applications, AI infrastructure, or model deployment workflows
- Experience working in financial services, healthcare, government, or other regulated industries
- Familiarity with enterprise security, governance, compliance, or risk management workflows
- Experience with AI evaluation, guardrails, observability, or monitoring systems
Why This Role
You will work directly with organizations deploying AI into critical real-world operations, helping ensure systems are reliable, secure, observable, scalable, and production-ready. This role is deeply focused on practical deployment and operationalization. You will help customers navigate the technical and organizational realities of enterprise AI adoption. You will gain exposure to a wide range of enterprise architectures, governance models, and operational workflows across regulated industries. Your work will directly influence how organizations safely deploy AI systems at scale, while shaping Dynamo AI’s deployment methodologies and product evolution.
Lead Forward Deployed Engineer (UK) employer: Capitolis
Codat is an exceptional employer that fosters a dynamic and innovative work culture, where your expertise as a Commercial Banking Product Strategist will directly influence the future of banking solutions. With a strong emphasis on employee growth and development, Codat offers unique opportunities to collaborate with industry leaders and shape actionable insights that drive real change in commercial banking. Located at the heart of the fintech revolution, you will be part of a forward-thinking team backed by major financial institutions, ensuring a rewarding and impactful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Forward Deployed Engineer (UK)
✨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 Capitolis 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 Capitolis.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Lead Forward Deployed Engineer (UK)
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 Capitolis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capitolis 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 Capitolis
✨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 Capitolis 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.
