JetBrains
Staff Forward Deployed Engineer – AI-Native Software Development
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Principal Forward Deployed Engineer – JetBrains AI-Native Development
About JetBrains Central
At JetBrains, code is our passion. Since founding in 2000, we have aimed to create the strongest, most effective developer tools. Our focus on automation and intelligent workflows delivers efficiency to developers, allowing them to innovate.
We recently introduced JetBrains Central, an agent-driven software development platform that unites tools, agents, and infrastructure. It empowers real-time AI workflows across heterogeneous teams with transparent results, cost, and performance insights.
JetBrains Central delivers three core functionalities:
- Governance and control – Enforces policies, manages identities and access, ensures observability, auditability, and attributing costs to AI agents (some via JetBrains Central Console).
- Agent execution infrastructure – Provides cloud agent runtimes and scalable compute resources, enabling agents to operate reliably across complex development environments.
- Agent optimization and context – Powers shared semantic context across repositories, ensuring agents access the right knowledge and are routed effectively within workflows.
The Professional Services department is assembling a team of Forward Deployed Engineers to drive AI-native development adoption at customer sites and equip JetBrains consulting partners to modernise their clients’ AI-ready development lifecycles.
About the Role
As a Principal Forward Deployed Engineer, you will:
- Partner closely with early-adopter customers to deploy JetBrains Central in high-complexity enterprise environments, accelerating their shift from experimental AI experiments to governed, scalable AI-native development.
- Serve as a trusted advisor to customer engineering teams while mentoring Forward Deployed Engineers across deployment challenges and design best practices.
- Help establish standardised enterprise AI adoption approaches, shaping how organisations operationalise AI-driven workflows effectively.
- Collaborate with global Fortune 500 clients (JetBrains serves 420 of them) to maximise their return on JetBrains investments.
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Ideal candidates are senior technical leaders—former Principal/Staff Engineers, Heads of Engineering, CTOs, or Solutions Architects—with a passion for direct customer dialogue while navigating complex technical systems.
This is a distinct blend of consulting, architecture, and hands-on engineering: Your fieldwork feeds directly into product improvements and constituent adoption strategies. Travel is common in this role.
Responsibilities
- Platform deployment: Integrate JetBrains Central into enterprise development environments, CI/CD pipelines, and Internal Developer Platforms (IDPs).
- AI workflow modernisation: Help organisations transition from ad-hoc AI experiments to scalable, governed AI-native production workflows.
- Enterprise AI governance: Implement controls for security, access management, and data privacy; define observability for AI-driven development metrics (usage patterns, productivity impact).
- Adoption strategy: Design cost-effective strategies for multi-cloud AI adoption, balancing usage controls, model selection, and cost attribution.
- Cloud agent integration: Architect secure, scalable agent execution environments on public clouds.
- Feedback-driven innovation: Collaborate with JetBrains’ product teams, ensuring architecture evolved from onsite insights.
- Partner enablement: Build playbooks for JetBrains channel partners, enrolling them in customer engagements.
- Team growth: Sponsor and facilitate technical improvements across the Forward Deployed Engineers team.
Key Traits
You’ll thrive in this role if you can:
- Consult expertly – Communicate clearly with both technical thinkers and executive stakeholders.
- See the bigger picture – Mastery of the software development lifecycle, from developer tools to infrastructure, APIs, and cloud systems.
- Speak infrastructure: Practical experience integrating complex systems into enterprise tech stacks.
- Embrace ambiguity – Comfort engaging with pluripotent AI use cases, especially where boundaries are ill-defined.
- Mentor and innovate – Eager to develop forward thinking in AI engineering, mentor peers, and help establish best practices.
- Demonstrate intellectual curiosity – Open-minded passions for AI agents, AI-native development, and emergent tech.
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Requirements and Experience
- Proven track record: Prior experience in customer-facing technical roles, consulting, or solutions engineering.
- Language skills: Proficiency in Java or Python, the two most relevant languages for JetBrains toolkit development.
- System design capabilities: Hands-on experience building, scaling, or integrating software platforms (developer tooling, platform engineering, or DevOps systems).
- Modern development workflows: Understanding of *CI/CD, developer environments, Internal Developer Platforms (IDPs), and observability.
- Stakeholder collaboration: Part history of working directly with customers or technical decision-makers.
- Problem-solving edge: Strong need to tackle novel technical challenges in a fast-changing environment.
- Willingness to travel: Eager to deploy at client sites to engage deeply.
Bonus Considerations
While not mandatory, the following will strengthen your candidacy:
- Domain experience in fintech, telecom, retail, or industrial platforms.
- Exposure to AI/LLM frameworks, agent-based architectures, or prompting engineering.
- Compatibility with JetBrains developer tooling, particularly理解 JetBrains’ IDEs, codebases, or automation use cases.
Why JetBrains
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We’re an equal opportunity employer, inviting everyone—regardless of background, identity, ability, or orientation—to thrive in a culture of open curiosity and inclusivity.
Application data will be processed as per our [Recruitment Privacy Policy](https://www.jetbrains.com/legal/du نستيون).
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