Staff Software Engineer – AI Platform

Job Description

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. Were turning todays impossible into tomorrows 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

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 successful candidate will help establish durable technical patterns across cloud services and customer experiences while personally contributing production code in Python and Go and/or Java.

This is a senior technical leadership role not a people-management position. The engineer will influence architecture mentor through technical leadership raise engineering standards and drive execution through design reviews and implementationnot through direct reports.

What Youll Do:

• 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.

Your Skills & Abilities (Required Qualifications):

• 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.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Experience building conversational AI for automotive mobility contact center consumer or other high-scale customer-facing domains.
• Experience with Vertex AI Azure AI services model gateways vector databases retrieval/evaluation platforms and model observability.
• Experience with privacy-aware personalization governed memory grounding tool access auditability and deletion workflows.
• Experience integrating CRM identity knowledge telephony messaging or other enterprise systems.
• Experience converging duplicated platforms through incremental adoption and leading cross-organization architecture initiatives without direct authority.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The salary range for this role is $189300$333400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position as well as the geography of the selected candidate.

Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. Relocation benefits are available for candidates who qualify under company policy.

About GM

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.

Why Join Us

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.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

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