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# Software Architect - AI Workflow Architecture

- **Company:** Daimler Truck North America
- **Location:** Portland, OR, United States
- **Experience:** Expert
- **Salary:** $117,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computing Platforms, Systems Engineering, Architectural Patterns, JIRA, Automation of Tests, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cyber Security, Computer Programming, Computer Engineering, Continuous Integration, Data as a Services, DevOps, Distributed Systems, Github, Hardware-In-The-Loop Simulation, Issue Tracking Systems, Interoperability, Python (Programming Language), Software Architecture, Release Management, Software Tools, Requirements Management, Secure Coding, Software Construction, Software Engineering, Software Systems, Systems Integration, Test Management, TypeScript, Workflow Management Systems, Enterprise Software Applications, Software Verification, Retrieval-Augmented Generation, Delivery Pipeline, Multi-Agent Systems, Model Validation, Event Driven Architecture, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Management, Machine Learning Operations, Automotive Software, Api Design, Software Coding, Restful APIs, Software Version Control, Data Pipelines, Microservices
- **Published:** August 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1d7db70503565fef

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or related technical field; advanced degree preferred
 * 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 modern languages such as Python, Java, C#, TypeScript, C/C++, or similar
 * Experience designing modular, maintainable, and scalable software components for workflow platforms, orchestration frameworks, enterprise integrations, or cloud-native systems
 * Understanding of AI-enabled software systems, including 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 in engineering environments
 * Strong analytical and communication skills with the ability to translate ambiguous business needs into clear architecture decisions and implementation guidance, * Experience architecting enterprise AI platforms, multi-agent systems, autonomous workflow orchestration, or AI-enabled engineering automation at production scale
 * Experience with LLMOps/MLOps, model lifecycle management, model evaluation, safety guardrails, semantic validation, telemetry, and governance for AI-enabled applications
 * Experience designing event-driven orchestration across requirements management, test management, CI/CD, issue tracking, simulation, HiL/SiL, or validation
 * environments
 * Automotive software, Software Defined Vehicle, embedded systems, test automation, virtual validation, ECU.test, IBM ELM/ETM, Jira, GitHub, or comparable engineering toolchain experience
 * Ability to define reference architectures, technical roadmaps, platform standards, and reusable architectural patterns adopted across multiple teams and global engineering sites
 * Demonstrated leadership in complex cross-functional initiatives involving software architecture, data platforms, AI systems, cybersecurity, compliance, and change management

Behavioral Competencies

 * Strong collaboration skills across software, validation, platform, infrastructure, data, and product teams
 * Clear and structured communication of complex architecture topics to technical contributors and leadership audiences
 * Self-motivated, with a continuous improvement mindset and ability to operate in ambiguous, evolving technical environments
 * Pragmatic focus on business value, delivery outcomes, operational reliability, and long-term maintainability

#LI-DC1

## Description

As a Software Architect focused on AI-enabled workflow architecture, you will play a key role in defining scalable automation platforms, agentic workflow patterns, model-serving capabilities, and enterprise software integrations for complex engineering environments. You will design architecture building blocks that connect engineering systems, data sources, automation pipelines, and AI services into robust, maintainable, and governed end-to-end workflows. This role emphasizes system-level thinking, software architecture depth, and close collaboration with product, platform, validation, and software engineering teams to improve engineering productivity and delivery quality.
This position operates within the Software Verification and Release organization and supports global vehicle platforms, software-defined vehicle programs, and engineering automation initiatives.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected., * 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 that combine 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 robust technical designs
 * Establish API-first, event-driven, and cloud-native integration approaches across engineering toolchains, enterprise systems, and automation services
 * Apply software engineering best practices including architecture governance, coding standards, source control, security, CI/CD, automated validation, and operational monitoring
 * Evaluate emerging AI, automation, and platform technologies and shape technical roadmaps for reusable workflow architecture capabilities
 * Analyze and design large-scale, distributed, and complex systems with a focus on maintainability, interoperability, reliability, security, scalability, and operational excellence
 * Provide technical leadership, mentoring, and architectural guidance to implementation teams working on AI-enabled workflows and engineering automation platforms, * Visa sponsorship will only be open to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa
 * All other applicants must be legally authorized to work permanently in the country the position is located in 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
 * Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
 * EEO - Disabled/Veterans


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