R
Re:Build Manufacturing
Forward Deployed Engineer
Skills
PythonSnowflakeMachine LearningAISupply ChainComplianceRisk Management
4 months ago
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Important information
Salary:
$120,223 – $180,334 / year
Location:
United States
Work mode:
Remote
Published on:
1 September 2026
What they need
Who you are
- 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
- 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
- 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
What the job involves
- 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
Benefits
- Medical
- Dental
- Vision
- FSA/HSA
- PTO/Paid Vacation
- 401(k)
- Long Term Incentive Program
- Employee Assistance Program
- Group Term Life/AD&D
- STD/LTD
- Voluntary Critical Illness
- Worker's Compensation
- Accident Coverage/Travel Assistance
- Voluntary Supplemental Life
- Parental Leave Program
- Wellness Program
- Tuition Reimbursement
- Company Sponsored Events
- Re:Build University
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