Build and maintain a full-stack platform that connects AI models to business processes and third-party platforms. Productionize prototypes into reliable, testable agentic and automation systems, design complex workflow orchestration, integrate APIs and data systems, implement observability and resilience, and evangelize best practices while acting as technical escalation for deployed systems.
Description
Mission: Industrialize concepts into robust, production-grade platforms that the business can rely on. This is a flexible, full-stack Engineering role responsible for building and maintaining the software platform that connects AI models to business processes, as well as building agents directly within third-party platforms like Glean, Databricks, and Azure AI Foundry - while extending a software engineering mindset - testability, reliability, and maintainability - to agentic and automation systems, and helping other teams build to that same bar, so systems can be trusted to run in production without constant rework.
Key Responsibilities:
• Platform Engineering: Build and maintain a full-stack software platform (frontend, backend, and data layers) that serves as the foundation for automation and AI-driven solutions across the business.
• Production Hardening: Refactor prototypes into robust, production-grade code capable of handling high-volume transactions.
• Engineering Rigor for Agentic Systems: Apply software engineering discipline - automated testing, error handling, observability, and reliability practices - to agentic frameworks and automation pipelines, not just traditional application code, so systems are durable and require minimal rework.
• Advanced Logic Orchestration: Design complex workflows (such as agentic frameworks or LLM chaining) to solve intricate business problems.
• System Integration: Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces.
• Third-Party Platform Enablement: Continuously learn and build agents and automations directly within emerging third-party platforms (e.g., Databricks, Glean, Azure AI Foundry, Google), using them as core building blocks for new solutions and evaluating/adopting new tooling as the ecosystem evolves.
• Resilience Engineering: Implement comprehensive logging, monitoring, and self-recovery mechanisms to minimize downtime.
• Consulting & Best Practices: Document and evangelize engineering best practices and design patterns - including how to build high-quality, testable agents on platforms like Glean - and coach other teams so agents and automations they build independently meet the same reliability bar.
• Advanced Support Escalation: Act as the technical escalation point for complex code-related issues after deployment.
Required Qualifications:
• Education: Bachelor's degree in Computer Science, Software Engineering, or related field.
• Experience: 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering.
• Full-Stack Technical Depth: Strong proficiency across the stack - Frontend (ReactJS/Vite), Backend (Python), and Data (PostgreSQL/Databricks) - plus REST APIs and Workflow Orchestration tools.
• Engineering Rigor: Strong focus on code quality, error handling, and testing, applied equally to traditional software and to agentic/automation systems.
• Platform & Tooling Agility: Demonstrated ability to rapidly learn and build production-quality agents and automations directly within third-party platforms such as Databricks, Glean, Azure AI Foundry, and Google tooling - not just custom code - to deliver solutions.
Preferred Qualifications:
• VSSM Business Knowledge: Familiarity with the VSSM business domain is a major advantage in prioritizing and shaping platform investments.
• Conceptual Thinking: Ability to work on complex assignments requiring originality and ingenuity in approach.
• Impact Focus: Experience setting objectives that directly influence results and providing measurable contributions.
• Adaptability: Resilience in approaching setbacks and comfort operating in fast-changing technical environments; ability to analyze failures and identify improvements.
• Autonomy: Ability to work independently with broad latitude in decisions and actions in a complex environment.
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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
#LI-HP2
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 based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so 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
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 [email protected] 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.
Mission: Industrialize concepts into robust, production-grade platforms that the business can rely on. This is a flexible, full-stack Engineering role responsible for building and maintaining the software platform that connects AI models to business processes, as well as building agents directly within third-party platforms like Glean, Databricks, and Azure AI Foundry - while extending a software engineering mindset - testability, reliability, and maintainability - to agentic and automation systems, and helping other teams build to that same bar, so systems can be trusted to run in production without constant rework.
Key Responsibilities:
• Platform Engineering: Build and maintain a full-stack software platform (frontend, backend, and data layers) that serves as the foundation for automation and AI-driven solutions across the business.
• Production Hardening: Refactor prototypes into robust, production-grade code capable of handling high-volume transactions.
• Engineering Rigor for Agentic Systems: Apply software engineering discipline - automated testing, error handling, observability, and reliability practices - to agentic frameworks and automation pipelines, not just traditional application code, so systems are durable and require minimal rework.
• Advanced Logic Orchestration: Design complex workflows (such as agentic frameworks or LLM chaining) to solve intricate business problems.
• System Integration: Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces.
• Third-Party Platform Enablement: Continuously learn and build agents and automations directly within emerging third-party platforms (e.g., Databricks, Glean, Azure AI Foundry, Google), using them as core building blocks for new solutions and evaluating/adopting new tooling as the ecosystem evolves.
• Resilience Engineering: Implement comprehensive logging, monitoring, and self-recovery mechanisms to minimize downtime.
• Consulting & Best Practices: Document and evangelize engineering best practices and design patterns - including how to build high-quality, testable agents on platforms like Glean - and coach other teams so agents and automations they build independently meet the same reliability bar.
• Advanced Support Escalation: Act as the technical escalation point for complex code-related issues after deployment.
Required Qualifications:
• Education: Bachelor's degree in Computer Science, Software Engineering, or related field.
• Experience: 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering.
• Full-Stack Technical Depth: Strong proficiency across the stack - Frontend (ReactJS/Vite), Backend (Python), and Data (PostgreSQL/Databricks) - plus REST APIs and Workflow Orchestration tools.
• Engineering Rigor: Strong focus on code quality, error handling, and testing, applied equally to traditional software and to agentic/automation systems.
• Platform & Tooling Agility: Demonstrated ability to rapidly learn and build production-quality agents and automations directly within third-party platforms such as Databricks, Glean, Azure AI Foundry, and Google tooling - not just custom code - to deliver solutions.
Preferred Qualifications:
• VSSM Business Knowledge: Familiarity with the VSSM business domain is a major advantage in prioritizing and shaping platform investments.
• Conceptual Thinking: Ability to work on complex assignments requiring originality and ingenuity in approach.
• Impact Focus: Experience setting objectives that directly influence results and providing measurable contributions.
• Adaptability: Resilience in approaching setbacks and comfort operating in fast-changing technical environments; ability to analyze failures and identify improvements.
• Autonomy: Ability to work independently with broad latitude in decisions and actions in a complex environment.
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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
- The salary range for this role is $160,000-$246,000 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- 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 & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
#LI-HP2
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 based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so 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
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 [email protected] 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.
General Motors Austin, Texas, USA Office
General Motors Austin IT Innovation Center Office



The spirit of boldness, creativity and ambition lives and breathes in the city of Austin, home to one of our innovation centers. Here our IT team members support GM's IT needs in developing web technologies, end-user applications, dealer and factory systems and vehicle technology.
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