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Ford Motor Company

Forward Deployed Engineer

Ford Motor Company

. Define and establish AI-native engineering practices for Ford Energy .

Posted 9/29/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $115,000 - $192,900 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-native engineering practices, application development in Go, and cloud infrastructure design on GCP. Proven ability to translate operational needs into secure, reliable software solutions while collaborating with diverse stakeholders.

Highest-signal resume keywords
AI/ML ExperienceGo ProgrammingCloud Infrastructure DesignGenerative AI ToolsInfrastructure-as-Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Application DevelopmentSystems ArchitectureAPI DesignProduction Delivery AutomationGreenfield DevelopmentEnterprise Platform IntegrationsCloud-native ServicesIoT WorkflowsSecure Software DevelopmentTechnical Knowledge Sharing
Soft Skills
Excellent CommunicationRelationship BuildingCollaborationAdaptabilityProblem Solving
Tools & Technologies
GCPPythonTypeScriptGenerative AI ToolsERP PlatformsCRM PlatformsMES Platforms
Industry Keywords
AI-native EngineeringIntelligent AutomationOperational ProblemsCloud EnvironmentsDelivery Automation

Tech Stack

Tools & technologies
CloudERPGoogle Cloud PlatformIoTPythonSDLCTypeScriptGo

About the role

Key responsibilities & impact
  • Define and establish AI-native engineering practices for Ford Energy
  • Use generative AI and AI-assisted development across design, implementation, testing, infrastructure, and delivery
  • Build practical AI/ML capabilities and intelligent automation for operational problems
  • Work directly with operations, product, customer, and business stakeholders to understand problems
  • Translate operational needs into deployed software
  • Write application code in Go and related services
  • Design and operate cloud infrastructure on GCP
  • Own automation, environments, and pipelines for reliable production delivery
  • Design, develop, and secure applications, API integrations, and edge systems around ERP, CRM, and MES platforms
  • Build cloud-native services, IoT/edge workflows, infrastructure-as-code, and production-ready software
  • Convert ambiguous requirements into secure, reliable working systems
  • Build relationships with stakeholders and customers
  • Contribute to engineering standards, design and code quality, architecture reviews, code reviews, and technical knowledge sharing

Requirements

What you’ll need
  • 5+ years of experience as a software engineer
  • Strong background in hands-on development, systems architecture, and integrating production systems
  • Experience across application engineering, cloud infrastructure, and production delivery automation
  • Experience with greenfield development and enterprise platform integrations
  • Track record of taking ambiguous, high-stakes problems from first conversation to working software in production
  • Demonstrated experience with AI/ML in production or applied business contexts
  • Experience using generative AI tools to accelerate development across the SDLC
  • Experience with Go, Python, TypeScript, API design, GCP, and modern cloud architectures
  • Experience with infrastructure-as-code, cloud environments, and delivery automation
  • Ability to navigate ambiguous, fast-changing environments and deliver simple, secure solutions under tight timelines
  • Excellent communication and relationship-building skills
  • Ability to partner across diverse technical and business teams as an individual contributor
  • Ability to operate with minimal process and significant latitude
  • Must be legally authorized to work in the United States
  • Visa sponsorship is not available

Benefits

Comp & perks
  • Performance-based bonuses
  • Ford vehicle discounts for employees and family members
  • Management leases
  • Immediate medical, dental, vision, and prescription drug coverage
  • Flexible family care days
  • Paid parental leave
  • New parent ramp-up programs
  • Subsidized back-up child care
  • Adoption and surrogacy expense reimbursement
  • Fertility treatments
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • Generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off
  • Option to purchase additional vacation time