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- 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 flexible work options, health resources, and paid volunteer days.
- 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.
- Other info: Mentor junior engineers and thrive in a dynamic, collaborative environment.
The predicted salary is between 54000 - 90000 £ per year.
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
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.
What You’ll Do
- Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex).
- 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.
Your background
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 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. To learn more, visit go.atlassian.com/perksandbenefits.
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.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Principal Forward Deployed Engineer, AI (Remote) in London employer: Atlassian
Contact Detail:
Atlassian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Forward Deployed Engineer, AI (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to current or former Atlassian employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the Principal Forward Deployed Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into AI/ML topics. Brush up on frameworks like TensorFlow and PyTorch, and be ready to discuss how you've tackled complex problems in the past. Show us your passion for AI-powered solutions!
✨Tip Number 3
Don’t just talk tech; communicate your vision! Practice explaining complex concepts in simple terms. Remember, you’ll need to engage with both technical and non-technical stakeholders, so being clear and concise is key.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Atlassian team. Let’s get you that interview!
We think you need these skills to ace Principal Forward Deployed Engineer, AI (Remote) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Forward Deployed Engineer role. Highlight your experience with AI/ML solutions and how it aligns with what Atlassian is looking for. We want to see how your skills can make a real impact!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your proficiency in Python, JavaScript, and any frameworks you’ve worked with. We love seeing candidates who can clearly communicate their technical prowess and how it relates to the job.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain complex concepts, as this will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders. We appreciate clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Atlassian
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML frameworks like TensorFlow and PyTorch. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in production environments.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to tackle complex and ambiguous problems. Think about specific challenges you've faced and how you navigated them, particularly in fast-paced settings.
✨Communicate Clearly
Practice explaining technical concepts in a way that's easy for non-technical stakeholders to understand. This is crucial, as you'll need to align technical solutions with business objectives and communicate effectively across teams.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Be prepared to share how you've fostered a culture of innovation and collaboration in previous positions.
