At a Glance
- Tasks: Lead AI deployments, architect solutions, and mentor junior engineers in a dynamic environment.
- Company: Join a cutting-edge tech firm focused on AI innovation and customer success.
- Benefits: Competitive salary, travel opportunities, and professional development in a collaborative culture.
- Other info: Opportunity for significant career growth and to work with leading technologies.
- Why this job: Make a real impact by shaping the future of AI technology across industries.
- Qualifications: 6-10 years in software engineering with strong AI/ML deployment experience.
The predicted salary is between 70000 - 90000 £ per year.
Requirements:
- 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.
- Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials.
- You leave teams better than you found them.
- 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.
- (Desirable) Experience founding or scaling an FDE/solutions engineering function.
- (Desirable) Technical founder background. Databricks, AWS Bedrock, or Temporal experience.
- (Desirable) Deep domain knowledge in healthcare, financial services, or government.
- (Desirable) Proficiency in German/French language will be an added advantage.
- (Desirable) Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act).
What the job involves:
- 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.
- 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.
Senior Forward Deployed AI Engineer in London employer: Smartsheet
As a Senior Forward Deployed AI Engineer, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our company fosters a culture of continuous learning, offering extensive training opportunities and the chance to work on cutting-edge AI projects that have a real impact across various industries. With a commitment to work-life balance and a supportive team atmosphere, we ensure that our employees feel valued and empowered to excel in their roles while enjoying the benefits of working in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Forward Deployed AI Engineer in London
✨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 Smartsheet 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 Smartsheet.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Smartsheet.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Smartsheet that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Forward Deployed AI Engineer in London
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 Smartsheet.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Smartsheet 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 Smartsheet
✨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 Smartsheet 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.
