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Daimler Truck North America

Software Architect – AI Workflow Architecture

Daimler Truck North America

Software Architect designing AI-enabled workflow platforms and enterprise integrations for Daimler Truck’s commercial vehicle technology. Building scalable, governed automation across global vehicle engineering programs.

Posted 8/4/2026full-timePortland • Oregon • 🇺🇸 United StatesSeniorLead💰 $117,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing scalable software architectures and automation platforms, with a strong focus on API-first and event-driven integration approaches. Proven ability to lead technical teams and mentor engineers while ensuring adherence to coding standards and operational excellence.

Highest-signal resume keywords
Software ArchitectureDistributed SystemsPython ProgrammingAPI DesignCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software ArchitectureDistributed SystemsPython ProgrammingJava ProgrammingC# ProgrammingTypeScript ProgrammingC/C++ ProgrammingAPI DesignEvent-Driven ArchitectureMicroservices
Soft Skills
Analytical SkillsCommunication Skills
Tools & Technologies
Automation PipelinesData PipelinesInfrastructure as CodeObservability ToolsWorkflow Engines
Industry Keywords
AI-Enabled Workflow PlatformsAgent OrchestrationEnterprise Application DevelopmentSoftware LifecycleDevOps

Tech Stack

Tools & technologies
CloudDistributed SystemsJavaMicroservicesPythonTypeScript

About the role

Key responsibilities & impact
  • Define reference architectures for AI-enabled workflow platforms, agent orchestration, automation pipelines, and enterprise engineering integrations
  • Design scalable software building blocks for workflow execution, model serving, tool integration, data exchange, observability, and lifecycle management
  • Develop architecture patterns combining deterministic automation pipelines with AI-driven agents, human-in-the-loop review gates, and traceable decision points
  • Collaborate with product owners, software engineers, system engineers, data scientists, and platform teams to translate business needs into technical designs
  • Establish API-first, event-driven, and cloud-native integration approaches across engineering toolchains, enterprise systems, and automation services
  • Apply architecture governance, coding standards, source control, security, CI/CD, automated validation, and operational monitoring practices
  • Evaluate emerging AI, automation, and platform technologies and shape technical roadmaps
  • Analyze and design large-scale distributed systems focused on maintainability, interoperability, reliability, security, scalability, and operational excellence
  • Provide technical leadership, mentoring, and architectural guidance to implementation teams
  • Support global vehicle platforms, software-defined vehicle programs, and engineering automation initiatives

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or related technical field
  • 8+ years of relevant experience in software architecture, distributed systems, enterprise application development, automation platforms, or engineering software systems
  • Strong programming and software design experience in Python, Java, C#, TypeScript, C/C++, or similar
  • Experience designing modular, maintainable, and scalable software components
  • Understanding of agentic workflows, model-serving patterns, prompt/tool orchestration, retrieval-augmented generation, evaluation, and governance
  • Experience with API design, event-driven architecture, microservices, data pipelines, CI/CD, infrastructure as code, observability, secure development, and production operations
  • Ability to integrate heterogeneous systems through REST APIs, event streams, workflow engines, data services, and enterprise integration patterns
  • Familiarity with software lifecycle, requirements management, test management, DevOps, release management, traceability, and quality practices
  • Strong analytical and communication skills
  • Must be legally authorized to work permanently in the United States at the time of application
  • Final candidate must successfully complete a criminal background check
  • Final candidate may be required to successfully complete a pre-employment drug screen
  • Advanced degree preferred

Benefits

Comp & perks
  • Annual bonus program
  • 401k company contribution with company match up to 6%
  • Non-elective company contribution of 3 - 7% depending on age
  • Starting at 4 weeks paid vacation
  • 13+ calendar holidays
  • 8 weeks paid parental leave
  • Employee assistance program
  • Comprehensive healthcare plans and wellness programs
  • Onsite fitness (at some locations)
  • Tuition assistance
  • Volunteer paid time off
  • Short-term and long-term disability plans