Lead Forward Deployed Engineer (AI-Native Software Development )
WFA Digital Insight
As the demand for AI-native software development continues to grow, companies like JetBrains are at the forefront, providing innovative solutions. With over 15 million developers relying on their products, this Lead Forward Deployed Engineer role stands out in the current remote job market. The need for professionals who can integrate complex software systems into enterprise environments while driving AI governance is on the rise. Given that the adoption of AI in software development has increased significantly, with some reports suggesting a 25% growth in AI-driven projects in 2025, candidates with experience in AI-native development, cloud systems, and software engineering will be in high demand. Before applying, candidates should be prepared to showcase their technical expertise, consulting skills, and ability to work with early adopters.
Job Description
About the Role
The Lead Forward Deployed Engineer position at JetBrains is a unique opportunity for experienced engineers to work directly with customers, deploying JetBrains Central into complex enterprise environments. This role combines consulting, architecture, and hands-on engineering, making it an ideal fit for professionals who have previously served as Principal or Staff Engineers, Heads of Engineering, CTOs, or Solutions Architects. As a Lead Forward Deployed Engineer, you will be part of the Professional Services department, working closely with JetBrains consulting partners to transform customers' software development lifecycles. Your primary focus will be on enabling the adoption of AI-native development with JetBrains Central, the company's new platform for agent-driven software development. JetBrains Central is designed to connect tools, agents, and infrastructure, allowing enterprises to adopt automated AI workflows with full visibility into results, costs, and processing speed. The platform provides three core capabilities: governance and control, agent execution infrastructure, and agent optimization and context.What You Will Do
- Architect and manage deployments of JetBrains Central into enterprise development environments, CI/CD systems, and internal developer platforms.
- Mentor and support other Forward Deployed Engineers, sharing architectural expertise and scaling the team's deployment practices.
- Drive organizations' transition from ad-hoc AI experimentation to governed, AI-native development workflows.
- Help organizations establish their own AI governance, including security policies, access management, and data privacy controls.
- Enable observability for AI-driven development, helping organizations understand their AI usage and code-generation patterns, as well as AI’s impact on productivity.
- Design sustainable AI adoption strategies, including for usage controls and cost visibility across multiple model providers.
- Integrate the cloud-based agent execution layer to ensure AI agents run securely and at scale.
- Partner closely with JetBrains product teams to shape the platform based on real-world deployments and customer feedback.
- Create delivery frameworks and train JetBrains partners to deliver the desired scope of service.
What We Are Looking For
- Experience in software engineering, with a focus on AI-native development, cloud systems, and enterprise software integration.
- Strong consulting skills, with the ability to communicate effectively with both engineers and technical leadership.
- Experience in integrating complex software systems into enterprise environments.
- Ability to work with early adopters and overcome ambiguous technical challenges.
- Motivation to mentor other engineers and help build a new technical discipline.
- Understanding of AI governance, including security policies, access management, and data privacy controls.
- Experience with cloud-based agent execution infrastructure and computation provisioning.
- Knowledge of agent optimization and context, including shared semantic context and task routing.
Nice to Have
- Experience as a Principal or Staff Engineer, Head of Engineering, CTO, or Solutions Architect.
- Familiarity with JetBrains products and the JetBrains Console.
- Experience with CI/CD systems and internal developer platforms.
- Knowledge of AI-driven development workflows and agent-driven software development.
Benefits and Perks
- Opportunity to work with a leading company in the development of intelligent tools for developers and development teams.
- Remote work arrangement, providing flexibility and work-life balance.
- Professional development opportunities, including training and mentorship programs.
- Competitive compensation package, including equity and benefits.
- Access to the latest technologies and tools in AI-native software development.
- Collaborative and dynamic work environment with a team of experienced professionals.
- Recognition and reward for outstanding performance and contributions to the company's growth.
How to Stand Out
- Highlight your consulting experience: Showcase your ability to communicate effectively with both engineers and technical leadership, and your experience in integrating complex software systems into enterprise environments.
- Emphasize your AI-native development skills: Demonstrate your understanding of AI governance, including security policies, access management, and data privacy controls, and your experience with cloud-based agent execution infrastructure.
- Prepare to talk about your mentorship experience: As a Lead Forward Deployed Engineer, you will be expected to mentor other engineers, so be prepared to discuss your experience in this area and your approach to knowledge sharing.
- Research JetBrains products and services: Familiarize yourself with the company's products, including JetBrains Central, and be prepared to discuss how you can contribute to their development and deployment.
- Be ready to discuss your experience with CI/CD systems and internal developer platforms: Showcase your understanding of these systems and how you can integrate them with JetBrains Central.
- Showcase your problem-solving skills: Demonstrate your ability to work with early adopters and overcome ambiguous technical challenges, and be prepared to provide examples of how you have done so in the past.
- Ask about the company culture and values: During the interview, ask about the company culture and values, and how they impact the way the team works and collaborates.
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