VP of Generative AI Engineering & Platform Architecture

Slate; Troy (MI); On-site; USD 222,000 - 371,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Vacation

401k

Equity program

Discretionary annual incentive

Job summary

Slate Automotive in Troy, Michigan, seeks a VP – Distinguished Engineer of Generative AI Engineering to lead the creation of an AI-native platform. You will architect, build, and ship GenAI systems, stay in the code, and guide a lean team of GenAI engineers, MLops experts, and scientists across vehicle engineering, manufacturing, and supply chain.

You will drive the deployment of agentic systems, establish a robust data and model foundation, and shape the long-term AI strategy while partnering

Qualifications

• Proven experience building production GenAI systems at scale.
• Deep hands-on knowledge of LLM APIs and model deployment.
• Strong background in data stacks and cloud infrastructure.

Responsibilities

• Architect and ship end-to-end GenAI platform and pipelines.
• Lead and review code while growing a GenAI team.
• Deploy GenAI agents across multiple company domains.
• Build proprietary AI moat with knowledge and data layers.
• Embed GenAI in physical manufacturing and tooling workflows.
• Set engineering standards and drive AI-first culture.

Skills

GenAI Architecture

MLOps

Fine-Tuning & Custom Models

Data & Cloud Foundation

Leadership

Academic Grounding

Education

BS in Computer Science or related field

MS or PhD in CS/ML preferred

Tools

Snowflake

Databricks

dbt

AWS

GCP

Azure

LangChain

LlamaIndex

Job description

Slate Automotive in Troy, Michigan, seeks a VP – Distinguished Engineer of Generative AI Engineering to lead the creation of an AI-native platform. You will architect, build, and ship GenAI systems, stay in the code, and guide a lean team of GenAI engineers, MLops experts, and scientists across vehicle engineering, manufacturing, and supply chain.

You will drive the deployment of agentic systems, establish a robust data and model foundation, and shape the long-term AI strategy while partnering