Forward Deployed Engineer, Re:Build Manufacturing

• 3+ years of software engineering, solutions platform delivery or technical implementation experience, ideally in customer-facing contexts
• Experienced in programming languages such as Python or similar, with a strong understanding of APIs and systems integration
• Ability to rapidly understand unfamiliar technical ecosystems and workflows and build integration paths
• Excellent communication skills. Confident translating for both technical and non-technical collaborators
• High ownership approach with comfort operating independently, navigating ambiguity
• Demonstrated experience working with enterprise customers; particularly in manufacturing, quality, engineering services, or supply chain operations
• Experience with LLMs, generative AI pipelines and agent-style automation frameworks (agent workflows, tool orchestration, retrieval-augmented generation)
• Prior consulting, technical solution engineering or internal tools engineering experience
• Demonstrated experience leading complex customer deployments involving cloud infrastructure, identity/SSO, data access, and integration with enterprise systems
• Proven ability to establish standards and operating rhythm (playbooks, quality gates, blocking issue models, delivery targets) across distributed teams
• Executive-level collaborator management: able to communicate with senior collaborators; adept at navigating ambiguity and driving decisions
• Ability to travel up to 75% of the time, with extended periods embedded at specific collaborator sites
• Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

Desirable

• Digital innovation is central to Re:Build Manufacturing’s mission and essential for scaling as a world-class industrial company
• The Forward Deployed Engineer (FDE) in the Digital Innovation Group (DIG) works directly at Re:Build sites alongside collaborators
• They quickly prototype and deliver full-stack digital solutions that address real business challenges and create measurable impact
• The FDE uses technical skills, AI knowledge, and awareness of industry developments to provide these solutions
• They lead client workshops, develop solution strategies, manage critical technical issues, and cultivate positive relationships with site teams
• The FDE also ensures risk management by aligning solutions with DIG’s security protocols, data standards, and AI governance guidelines while following coding practices
• This role suits experienced engineers who combine strong technical insight, customer focus, product awareness, and who excel in responsibility and ownership
• Collaborate directly with team members to understand business processes, difficulties, and success criteria; and proactively uncover new opportunities to implement digital solutions
• Own the full lifecycle of prototypes and production solutions, from discovery and prioritization through build, deployment, and post-launch iteration
• Build prototype solutions to validate approaches and accelerate discovery
• Use knowledge in AI and machine learning to recommend approaches where AI can generate measurable business impact for interested parties
• Bring external innovation to internal problems
• Identify and resolve bugs in prototypes while optimizing code for performance and scalability
• Provide technical mentorship and support throughout implementation, including resolving issues, optimization, and adoption support
• Contribute to software build and architecture, ensuring scalability and reliability in line with team goals
• Ensure adherence to guidelines and coding standards through code reviews
• Develop and maintain technical documentation, implementation playbooks, and reusable assets to accelerate future deployments
• Risk, security, and compliance leadership: Guarantee that implementations meet DIG's security protocols, data management criteria, and AI governance standards
• Travel up to 75% of the time to portfolio locations, mainly stationed at a particular site to speed up solution implementation (domestic US travel only)
• Other responsibilities as assigned