Principal Engineer - Marketing AI Platforms

Job DescriptionThis role is categorized as hybrid. This means the successful candidate is expected to report to  Austin Technical Center, GM Global Technical Center, or Mountain View Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].The RoleGeneral Motors is looking for a Principal Engineer to help define and build the next generation of marketing AI capabilities. This is a senior technical leadership role for an expert who can shape architecture, build production-grade systems, and turn complex data and AI capabilities into practical solutions that improve how marketing teams generate insights, create briefs, target audiences, activate campaigns, and optimize performance.This role is ideal for a specialist who has already built modern AI platforms or agent-powered solutions at scale and wants to apply that experience to a large, data-rich environment with meaningful business impact. You will work across data, software, AI, and marketing stakeholders to create secure, scalable, governed solutions that can move from concept to enterprise adoption.What You’ll DoDefine the technical vision and architecture for marketing AI platforms and solutionsBuild and scale production-grade AI systems that connect data, knowledge assets, agent workflows, and downstream activationLead the design of orchestration patterns across multiple domain-specific AI and data assets, including governed access to underlying platforms and services.Partner with engineering, data science, product, infrastructure, governance, and marketing teams to prioritize and deliver the highest-value use cases.Establish strong engineering standards for reliability, observability, deployment, security, and complianceDrive technical decisions across platform reuse, custom development, and build-vs-buy tradeoffsMentor senior engineers and raise the bar for architecture and engineering quality across multiple teamsOpportunity to shape a high-impact marketing AI platform from the ground upChance to work on real enterprise-scale data, AI, and orchestration challengesBroad technical scope across architecture, platforms, agents, data, and applied AIVisible business impact in a space where speed, insight quality, and optimization matterAbility to influence how a major enterprise builds durable internal AI capability rather than relying on disconnected external point solutions.Technical LeadershipCreate a clear target architecture for marketing AI across data platforms, agent frameworks, orchestration, and user-facing experiencesTranslate ambiguous business opportunities into concrete technical approaches, delivery plans, and reusable engineering patternsServe as a senior technical authority and trusted partner for cross-functional leaders and engineersPlatform and Solution DevelopmentDesign and implement scalable AI platforms and services that support marketing use cases end to endBuild systems that support insight synthesis, retrieval, briefing support, audience intelligence, campaign execution, and optimization.Create reusable frameworks and components that accelerate delivery of future marketing AI solutionsEnsure solutions are production-ready, measurable, and maintainableData, Governance, and Enterprise ReadinessDesign for secure, permission-aware access to marketing data and AI services in enterprise environments.Partner with teams responsible for data products, metadata, privacy, and platform governanceHelp establish scalable patterns for onboarding new data sources, domains, and use cases without creating fragmented point solutionsBuild with strong attention to compliance, resilience, and long-term operabilityYour Skills & Abilities (Required Qualifications)Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience10+ years in software engineering, including deep experience as a senior technical leader in complex enterprise environmentsProven experience building large-scale AI, ML, or agent-based systems in productionStrong experience with cloud-native data and AI platforms, including modern data architecture, APIs, orchestration, and distributed systemsDemonstrated success designing platforms that enable other engineering or product teams to move fasterStrong understanding of secure system design, access controls, governance, and enterprise-grade reliabilityExcellent communication skills and the ability to influence technical direction across multiple teams and stakeholdersExperience building AI products or platforms for marketing, advertising, personalization, customer intelligence, or digital engagementExperience with retrieval systems, knowledge platforms, semantic context, or agent orchestrationExperience with Databricks, Azure-native services, or similar cloud data and AI platformsExperience integrating AI capabilities into real business workflows rather than isolated prototypesExperience in highly regulated or governance-heavy enterprise environmentsWhat Can Give You a Competitive Advantage (Preferred Qualifications)Familiarity with enterprise marketing ecosystems such as Adobe or adjacent platformsMasters degree in Computer Science, Engineering, or a related field, or equivalent practical experienceThis job may be eligible for relocation benefits.Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.Compensation: The expected base compensation for this role is: $232,400 - 347,850. Actual base compensation within the identified 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