VP – Distinguished Engineer of Generative AI Engineering
Slate Magazine3 days ago
Troy, MI, USAStaff+
Base Salary
$222k - $371k/yr
Responsibilities
- Design and own Slate’s enterprise-scale end-to-end GenAI platform, including context, data, model-serving, agent, and evaluation layers.
- Build and deploy production-grade GenAI agents across vehicle engineering, manufacturing, supply chain, software development, and go-to-market workflows.
- Develop physical AI systems for robotic process control, manufacturing quality assurance, predictive maintenance, sensor-data processing, and closed-loop production feedback.
- Construct proprietary knowledge, data, and context layers that support purpose-built models across the vehicle lifecycle.
- Establish evaluation frameworks, guardrails, observability, auditability, security, and compliance standards for production AI systems.
- Design multi-tenant model-serving architectures, real-time and edge inference pipelines, and infrastructure supporting thousands of internal users and integrated systems.
- Recruit and grow a lean team of GenAI engineers, MLOps engineers, and applied scientists while remaining hands-on with code, reviews, and architecture.
- Set technical standards, hiring expectations, and engineering practices for the GenAI organization and contribute to external technical communities when appropriate.
Requirements
- 15+ years of engineering experience, including 5+ years shipping production GenAI systems and 7+ years in senior technical leadership.
- Bachelor of Science degree required; an MS or PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering, Mechanical Engineering, or a related field is preferred.
- Demonstrated work recognized outside the candidate’s organization, including production systems built from scratch and operating at scale.
- Deep hands-on experience with LLM APIs including OpenAI, Anthropic, and Gemini, as well as production deployment of open-source models.
- Experience with vector databases, agent orchestration frameworks such as LangChain or LlamaIndex, prompt engineering, fine-tuning, and training domain-specific models.
- Experience building multi-agent systems with coordination protocols, failure isolation, human-in-the-loop escalation, evaluation frameworks, guardrails, and observability pipelines.
- Experience deploying AI on physical hardware such as robots, CNC machines, quality inspection systems, assembly-line sensors, or comparable industrial environments.
- Experience with manufacturing computer vision, closed-loop learning, robot-to-model feedback architectures, physical simulation, sensor fusion, multimodal data, and real-time inference under hard latency constraints.
- Experience with edge deployment architectures, intermittent connectivity, modern data stacks, vector stores, streaming data pipelines, and batch and real-time model consumption.
- Cloud architecture experience across AWS, GCP, or Azure, including cost modeling, capacity planning, managed-versus-self-hosted AI infrastructure tradeoffs, and enterprise-scale AI platforms.
- Experience designing multi-tenant model serving with cost isolation, quota management, workload prioritization, SLA support, and security and compliance controls.
- Experience creating SDKs, abstraction layers, and self-service platform tooling for internal teams.
- Physical AI experience in robotics, manufacturing, IoT, autonomous vehicles, or another domain with messy data, latency constraints, and physical failure consequences is preferred.
- Advanced degrees are preferred but exceptional publications, widely adopted systems, or research-level work may offset advanced-degree pedigree.
Benefits
- Medical, dental, vision, life insurance, disability insurance, vacation, and 401k benefits are offered.
- The successful candidate may be eligible for an equity program and/or discretionary annual incentive program.
- The position lists a base pay range of $222,431.00 to $370,719.00.
- The role is based within Slate’s vehicle and manufacturing organization, with no specific remote or office arrangement stated.
Tech Stack
Categories
About Slate Magazine
Slate is a digital magazine that covers politics, culture, technology, and current events through reported articles, analysis, newsletters, and a large slate of podcasts. Founded in 1996, it is published by The Slate Group, a unit of Graham Holdings, with offices in New York and Washington, D.C. Its business model combines advertising with reader revenue, including the Slate Plus membership program for bonus content and ad-free podcasts.