At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions for top organisations.
- Company: Join Atlassian, a leader in team collaboration and AI technology.
- Benefits: Enjoy remote work flexibility, health resources, and paid volunteer days.
- Other info: Mentor junior engineers and thrive in a dynamic, collaborative environment.
- Why this job: Shape the future of AI-powered teamwork while making a real impact.
- Qualifications: 10+ years in backend development and 5+ years in AI/ML solutions.
The predicted salary is between 72000 - 88000 £ per year.
This role is available remotely anywhere in the UK.
As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian’s AI capabilities to solve complex, real-world problems. You’ll collaborate with product, engineering, and design, rapidly growing your technical and domain expertise while making a tangible impact on business outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork.
Responsibilities
- Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs.
- Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems.
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
- Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency.
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement.
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks.
- Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.
Qualifications
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. This role may also be eligible for benefits, bonuses, commissions, and equity.
On the first day, we'll expect you to have:
- 10+ years of experience in backend software development.
- 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development.
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks.
- Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration.
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments.
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority.
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR).
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals.
It's great, but not required, if you have:
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features.
- Familiarity with regulated industries (e.g., finance, healthcare).
- Experience deploying AI solutions to complex production systems at scale.
- Prior experience mentoring or leading engineering teams.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Principal Forward Deployed Engineer, AI (Remote UK) in London employer: Atlassian
Atlassian is an exceptional employer that prioritises flexibility and work-life balance, allowing employees to choose their work environment—be it in the office, from home, or a hybrid model. With a strong focus on employee development, Atlassian offers robust mentorship and coaching opportunities, fostering a culture of collaboration and innovation. Additionally, the company provides comprehensive benefits, including health coverage and paid volunteer days, making it an attractive place for those seeking meaningful and rewarding careers in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Forward Deployed Engineer, AI (Remote UK) 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 Atlassian 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 Atlassian.
✨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 Atlassian.
✨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 Atlassian 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 Principal Forward Deployed Engineer, AI (Remote UK) 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 Atlassian.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Atlassian 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 Atlassian
✨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 Atlassian 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.
