Sr. Forward Deployed AI Engineer (Remote Eligible in the UK) in London

Sr. Forward Deployed AI Engineer (Remote Eligible in the UK) in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Smartsheet

At a Glance

  • Tasks: Lead complex AI deployments and mentor junior engineers in a dynamic environment.
  • Company: Join Smartsheet, a leader in innovative work management solutions.
  • Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Diverse perspectives welcomed; your ideas will shape the future of work.
  • Why this job: Make a real impact by architecting cutting-edge AI solutions that transform businesses.
  • Qualifications: 6-10 years in software engineering with strong AI/ML deployment experience.

The predicted salary is between 80000 - 100000 £ per year.

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters.

You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

What You Will Do

  • Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
  • Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
  • Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
  • Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
  • Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
  • Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
  • Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
  • Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

Required

  • 6–10+ years production software engineering, including 3+ years deploying AI/ML to production.
  • Deep Python; strong TypeScript/JavaScript.
  • Proven track record leading complex enterprise technical engagements.
  • You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
  • Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
  • System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
  • Demonstrated ability to create reusable technical assets that others use in production.
  • You think in platforms, not projects.
  • Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials.
  • Your Deployment Kits are your portfolio.
  • You leave teams better than you found them.
  • You make sure the people you work with understand what was built, why it works, and how to own it without you.
  • Ability to travel. This role requires domestic and international travel approximately 25–50% of the time.
  • Eligible to work in the UK on an ongoing basis.
  • BS or MS in Computer Science, a related field, or equivalent industry experience.

Nice to Have:

  • Experience founding or scaling an FDE/solutions engineering function.
  • Technical founder background.
  • Databricks, AWS Bedrock, or Temporal experience.
  • Deep domain knowledge in healthcare, financial services, or government.
  • Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
  • Proficiency in German/French language will be an added advantage.
  • Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act).

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

Sr. Forward Deployed AI Engineer (Remote Eligible in the UK) in London employer: Smartsheet

At Smartsheet, we pride ourselves on being an exceptional employer that fosters innovation and growth in a collaborative environment. Our remote-friendly culture in the UK allows you to work flexibly while contributing to impactful AI solutions, with ample opportunities for mentorship and professional development. Join us to be part of a diverse team where your ideas are valued, and you can truly make a difference in shaping the future of work.

Smartsheet

Contact Details:

Smartsheet Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. Forward Deployed AI Engineer (Remote Eligible in the UK) in London

Tip Number 1

Network like a pro! Reach out to current employees at Smartsheet on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your interview. It’s all about making connections!

Tip Number 2

Prepare for the technical side! Brush up on your Python and TypeScript skills, and be ready to discuss your past projects in detail. We want to see how you’ve tackled complex AI deployments and what you’ve learned along the way.

Tip Number 3

Show us your passion for AI! Be ready to talk about the latest trends in AI/ML and how you can apply them to our work at Smartsheet. We love candidates who are excited about the future of technology!

Tip Number 4

Don’t forget to ask questions! Prepare thoughtful questions about the role, team dynamics, and company culture. This shows us that you’re genuinely interested and helps you figure out if we’re the right fit for you too.

We think you need these skills to ace Sr. Forward Deployed AI Engineer (Remote Eligible in the UK) in London

Production Software Engineering
AI/ML Deployment
Python
TypeScript
JavaScript
Enterprise Technical Engagements
Customer Relationship Management

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for AI and technology shine through. We want to see how your passion aligns with our mission at Smartsheet to create impactful solutions.

Tailor Your Experience:Make sure to highlight your relevant experience in deploying AI/ML systems. We’re looking for specific examples that demonstrate your ability to lead complex projects and manage customer relationships effectively.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, as we appreciate strong written communication that reflects your ability to convey technical concepts.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Smartsheet.

How to prepare for a job interview at Smartsheet

Know Your Stuff

Make sure you brush up on your technical skills, especially in Python and TypeScript/JavaScript. Be ready to discuss your experience with AI/ML deployments and how you've led complex technical engagements. Prepare examples that showcase your ability to manage customer relationships and navigate security reviews.

Showcase Your Architecture Skills

Since this role involves system architecture expertise, be prepared to explain your approach to designing multi-agent solutions. Think about how you can articulate the coordination patterns you've selected for different workflows and compliance requirements. Bring along any relevant architecture documents or runbooks as examples.

Communicate Clearly

Strong written and verbal communication is key. Practice explaining complex concepts in simple terms, as you'll need to mentor junior engineers and present findings. Consider preparing a strategic memo or two to demonstrate your ability to communicate effectively in a professional setting.

Be Ready to Collaborate

This role is all about building a function and not just filling a position. Think about how you can contribute to team dynamics and leave teams better than you found them. Be prepared to discuss how you've mentored others and created reusable technical assets that have helped your colleagues succeed.