Forward Deployed Engineer

Re:Build Manufacturing • Framingham, MA

2d • $143,065 - $214,598 • Hybrid

About The Position

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.

Requirements

• 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.
• 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.

Nice To Haves

• Solid engineering foundation. Desired areas of study include, though are not restricted to, Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
• Familiarity with enterprise ecosystems such as Snowflake, Atlassian suite of tools, and common integration approaches.
• Background in regulated industries and governance-heavy environments (auditability, privacy, retention).
• Ability to operate autonomously, thrive under ambiguity, and represent DIG at the highest level in customer environments.
• Experience partnering with product teams on platformization (turning custom work into reusable product capabilities).
• Prior enterprise delivery leadership experience driving multi-workstream execution, program governance, and executive steering across complex collaborator environments.

Responsibilities

• 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.
• 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.

Benefits

• medical
• dental
• vision
• retirement
• paid time off
• Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior