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
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