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About the Role
We are looking for a Staff Individual Contributor who combines exceptional software-engineering execution with enterprise architecture leadership to design and build the next generation of customer-facing AI systems. This role will lead the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, policy enforcement, and AI platform services. The engineer will influence architecture, mentor through technical leadership, raise engineering standards, and drive execution through design reviews and implementation.
Responsibilities
- Own architecture and hands-on delivery of complex customer-facing AI modules from PRD through production.
- Turn product needs into clear component boundaries, APIs, data models, ERDs, sequence flows, deployment designs, test strategies, and AI evaluation plans.
- Build reusable services for orchestration, agents, grounding, retrieval, memory, tool integration, conversation state, and channel adapters.
- Lead technical decisions for inference, serving, reliability, security, observability, capacity, and operational readiness.
- Establish reference implementations and engineering patterns for AI-enabled services across GCP and Azure.
- Drive CI/CD, automated testing, AI evaluation and regression pipelines, release readiness, and production operations.
- Partner with product, security, privacy, data, infrastructure, and application teams to resolve cross-system tradeoffs.
- Provide technical leadership through architecture reviews, design documentation, code reviews, incident analysis, and production-readiness reviews.
- Identify opportunities to simplify duplicated capabilities and standardize reusable platform interfaces.
Requirements
- 8+ years of software engineering experience, including ownership of distributed, cloud-native, or customer-facing systems.
- Track record as a hands-on technical architect, staff/principal engineer, or lead programmer delivering production systems at scale.
- Expert Python and strong Go and/or Java programming skills.
- Strong command of distributed-system design, service boundaries, API and data contracts, asynchronous processing, eventing, caching, consistency, and fault tolerance.
- Production experience with LLM applications, agent orchestration, RAG, embeddings/vector search, tool use, MCP, A2A, and chatbot or workflow-based systems, including quality, safety, grounding, and regression evaluation.
- Experience with inference and serving for low latency, high throughput, concurrency, autoscaling, traffic management, and cost/performance optimization.
- Cloud and delivery experience with GCP and/or Azure, containers/Kubernetes, IAM, secrets, messaging, managed data services, CI/CD, infrastructure as code, and automated testing.
- Ability to define and implement architecture artifacts and non-functional requirements covering security, privacy, observability, SLOs/SLIs, capacity, BCP, DR, and operational resilience.
- Strong written and verbal communication, technical judgment, and ability to influence without direct authority.
Skills
- Python
- Go
- Java
- GCP
- Azure
- Kubernetes
- CI/CD
- LLM applications
- Agent orchestration
- RAG
- Embeddings/vector search
- Tool use
- MCP
- A2A
- Chatbot systems
- Workflow-based systems
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- Staff
- Principal Engineer
Salary/Compensations
- $189,300–$333,400
Benefits
- Medical
- Dental
- Vision
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation and holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
About the Company
- At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
- Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
- We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Equal Opportunity
- General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
- All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
- General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.