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 80000 - 100000 £ 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: Dynamo AI
Dynamo AI is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to tackle real-world challenges in deploying AI systems across regulated industries. With a strong focus on employee growth, we offer opportunities for continuous learning and development, ensuring that our team members can thrive in their careers while making a meaningful impact on enterprise AI adoption. Located in the UK, our dynamic environment encourages curiosity and adaptability, making it an ideal place for those passionate about technology and its transformative potential.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Forward Deployed Engineer (UK)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Dynamo AI. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that demonstrate your technical prowess, make sure to share them during interviews. Real-world examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for the unexpected! In interviews, be ready to tackle some tricky questions or scenarios. Think about how you’d solve real-world problems related to AI deployment and governance. This shows you’re not just book-smart but also practical.
✨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, it shows you’re genuinely interested in being part of the Dynamo AI team.
We think you need these skills to ace Lead Forward Deployed Engineer (UK)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Forward Deployed Engineer role. Highlight your experience with AI systems, customer deployment, and any relevant technical skills that align with what we’re looking for at Dynamo AI.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex engineering challenges in the past. We want to see your ability to navigate ambiguity and adapt solutions to fit real-world operational needs.
Highlight Your Teamwork Experience:Since this role involves working closely with customers and internal teams, emphasise your collaborative experiences. Let us know how you’ve partnered with others to achieve successful outcomes in previous projects.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you can easily keep track of your application status!
How to prepare for a job interview at Dynamo AI
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around distributed systems, Kubernetes, and APIs. Be ready to discuss how these technologies apply to real-world deployment challenges, as this role requires a strong understanding of complex enterprise environments.
✨Understand the Customer's World
Familiarise yourself with the industries Dynamo AI operates in, like financial services and healthcare. Knowing the specific operational and governance challenges these sectors face will help you demonstrate your ability to navigate ambiguity and provide tailored solutions during the interview.
✨Show Your Problem-Solving Skills
Prepare to share examples of how you've debugged and resolved complex integration issues in past roles. Highlight your experience working directly with customers to overcome technical hurdles, as this will showcase your ability to bridge the gap between engineering and customer needs.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This role involves collaborating with various teams, so being able to communicate effectively is key. Think about how you can convey your ideas clearly and concisely during the interview.
