Software Architect – AI Workflow Architecture

Inside the Role

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.

We Take Care of Our Team

Position offers a starting salary range of $117,000 – $150,000 USD

Pay offered dependent on knowledge, skills, and experience.

Benefits include 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.

What You Will Do

• 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

Knowledge You Should Bring

• 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 clea