Software Architect – AI Workflow Architecture

Daimler Truck•Portland, OR

1d•$117,000 - $150,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

annual bonus program
401k company contribution with company match up to 6% as well as 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 and volunteer paid time off
short-term and long-term disability plans