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.
Senior Forward Deployed AI Engineer (Remote Eligible in the UK) in London employer: Smartsheet
At Smartsheet, we pride ourselves on being an exceptional employer that champions innovation and personal growth. Our remote-friendly culture fosters collaboration and creativity, allowing you to lead complex AI deployments while mentoring the next generation of engineers. With a commitment to inclusivity and a focus on meaningful work, you'll find ample opportunities to make a real impact in a supportive environment that values your unique contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those technical interviews by brushing up on your Python and TypeScript skills. Practice coding challenges and be ready to discuss your past projects in detail. Show us how you think and solve problems!
✨Tip Number 3
Don’t forget to showcase your leadership skills! Be ready to talk about how you've mentored others and led complex projects. We want to see how you can build a function, not just fill a role.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the Smartsheet team. Let’s make magic happen together!
We think you need these skills to ace Senior Forward Deployed AI Engineer (Remote Eligible in the UK) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Forward Deployed AI Engineer role. Highlight your experience with AI deployments, Python, and any relevant projects that showcase your skills. We want to see how you fit into our magic!
Showcase Your Achievements:Don’t just list your responsibilities; share your accomplishments! Use metrics and examples to demonstrate how you've led complex technical engagements or improved processes. This helps us understand the impact you've made in your previous roles.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and gets straight to the point—just like we do at StudySmarter!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team 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 problem-solving abilities and how you've navigated customer relationships.
✨Showcase Your Leadership
Since this role involves mentoring junior engineers and leading workshops, think of specific instances where you've taken charge. Highlight your experience in training others and how you've contributed to building a function rather than just filling a role. This will demonstrate your capability to lead and inspire.
✨Communicate Clearly
Strong written and verbal communication is key for this position. Practice explaining complex concepts in simple terms, as you'll need to present findings and create documentation. Consider preparing a brief presentation on a past project to showcase your ability to communicate effectively.
✨Understand the Company Culture
Familiarise yourself with Smartsheet's mission and values. They value diverse perspectives and innovative thinking, so be prepared to discuss how your unique background can contribute to their goals. Show enthusiasm for their vision and how you can help build what's next together.