Principal Engineer - Marketing AI Platforms

General Motors (GM)

Closes in 5 days Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$232,400–$347,850 / yr
Posted
2 days ago
Closes
Jun 11, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k
This role $290k
$164k most similar roles pay here $368k

This role pays more than 88% of similar roles. Most pay $185,375–$250,071 — the shaded band above. At the midpoint, this role pays about $290k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 131 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Principal Engineer - Marketing AI Platforms

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General Motors seeks a Principal Engineer to lead the development of next-generation marketing AI capabilities at its Austin Technical Center, GM Global Technical Center, or Mountain View Technical Center. This senior technical leadership role involves defining and building production-grade systems that integrate data, knowledge assets, and agent workflows to enhance marketing teams' insights and campaign performance. The ideal candidate will have extensive experience in creating large-scale AI platforms and working with cloud-native data and AI technologies like Databricks and Azure-native services. Responsibilities include establishing engineering standards for reliability and security, mentoring senior engineers, and collaborating across various technical and business units to deliver high-value solutions in a highly regulated enterprise environment.

Skills

Databricks Azure Python Kubernetes Terraform CI/CD PostgreSQL AWS Git Swagger Jenkins Ansible Prometheus Grafana Redis MongoDB CICD REST GraphQL

What you'll do

  • Define technical vision and architecture for marketing AI platforms.
  • Build and scale production-grade AI systems connecting data and workflows.
  • Lead design of orchestration patterns across multiple domain-specific assets.
  • Establish strong engineering standards for reliability, observability, security.
  • Mentor senior engineers and raise the bar for architecture quality across teams.

What we're looking for

  • At least 10 years of software engineering experience with senior leadership roles in complex enterprise environments.
  • Proven track record building large-scale AI, ML, or agent-based systems for production use.
  • Expertise in cloud-native data and AI platforms, including modern architecture, APIs, orchestration, and distributed systems.
  • Strong background in secure system design, access controls, governance, and ensuring enterprise-grade reliability.
  • Experience designing platforms that accelerate other engineering teams' productivity and efficiency.
  • Demonstrated success in integrating AI capabilities into real business workflows within regulated environments.

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