Principal FDE
Job Summary
Atlassian is seeking a Principal Forward Deployed Engineer to lead the design, development, and deployment of applied AI and machine learning solutions with enterprise customers. In this high-impact role, you will collaborate with cross-functional teams and leverage AI-powered capabilities to solve complex real-world problems. You will also mentor junior engineers and drive innovative workflow automation within customer environments.
Responsibilities
- Lead design and deployment of AI/ML solutions
- Architect robust application integrations using Python/JavaScript
- Oversee end-to-end AI production deployment and compliance
- Mentor and guide junior engineers
Required Skills
- 10+ years backend software development
- 5+ years delivering AI/ML solutions in production
- Deep expertise in generative AI, LLMs, and agent-based frameworks
- Proficiency in Python or JavaScript
Job Details
Your future team
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
As a Principal Forward Deployed Engineer, you will:
- 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.
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.