Principal FDE

Date PostedAugust 7, 2026LocationAny country where we have a legal entity (Flexible)CompanyAtlassianSalaryZone A: $209,700 - $273,775 Zone B: $188,730 - $246,398 Zone C: $174,051 - $227,233TypeSenior Level

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.