VP – Distinguished Engineer, Generative AI Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Conceptualize, design, and launch Slate’s GenAI platform.

• Make strategic architectural choices for GenAI platforms, agentic systems, robot-to-model feedback loops, and integrated AI solutions.

• Collaborate with Vehicle Engineering, Manufacturing, and Quality to implement measurable AI solutions.

• Design and manage the comprehensive GenAI platform, including context, data, model serving, agent frameworks, and evaluation pipelines.

• Create AI systems tailored for physical manufacturing, focusing on agentic coordination and model personalization.

• Integrate AI into manufacturing via robotic process control, computer vision, predictive maintenance, and feedback loops.

• Develop Slate’s unique data and context layer along with a unified data layer.

• Implement production-grade AI agents across vehicle engineering, manufacturing, supply chain, software development, and go-to-market strategies.

• Set up evaluation frameworks, guardrails, and observability practices.

• Recruit and nurture GenAI engineers, MLOps engineers, and applied scientists.

• Review code submissions, make architectural decisions, and collaborate on code deployment with the team.

• Establish technical standards, engineering practices, and hiring criteria.

• Engage externally through open source contributions, publications, or conference presentations.

• Report directly to the Chief Digital and Operations Officer and take part in the senior technology leadership team.

⛳️ Requirements

• Over 15 years of engineering experience.

• More than 5 years of experience delivering production GenAI systems.

• At least 7 years in a senior technical leadership position.

• Work acknowledged beyond the candidate’s organization.

• Bachelor’s degree required.

• Extensive hands-on experience with LLM APIs, including OpenAI, Anthropic, and Gemini.

• Experience with deploying production-scale open-source models.

• Knowledge of vector databases.

• Familiarity with agent orchestration frameworks like LangChain or LlamaIndex.

• Proficiency in prompt engineering for reliability.

• Experience in fine-tuning and training specialized domain-specific models.

• Understanding of GenAI evaluation frameworks, guardrails, and observability pipelines.

• Experience designing and deploying production multi-agent systems.

• Experience in deploying AI systems on physical hardware or within industrial settings.

• Knowledge of computer vision systems for quality assurance in manufacturing.

• Expertise in closed-loop learning systems with real-world outcomes.

• Understanding of robot-to-model feedback architectures.

• Familiarity with physical simulation environments such as Isaac Sim or MuJoCo.

• Experience with sensor fusion and multimodal data processing.

• Capability to design real-time inference pipelines with strict latency requirements.

• Knowledge of edge deployment architectures functioning under intermittent connectivity.

• Experience in data architecture utilizing modern data stacks like Snowflake, Databricks, and dbt.

• Familiarity with vector stores and streaming data pipelines.

• Experience with architecture-level cloud infrastructure using AWS, GCP, or Azure.

• Experience with enterprise-scale AI platforms supporting thousands of simultaneous users.

• Knowledge of multi-tenant model serving architectures.

• Understanding of security and compliance frameworks for proprietary manufacturing intellectual property.

• Familiarity with platform engineering practices, including SDKs, abstraction layers, and self-service tools.

• Master’s or PhD in a relevant field preferred, but not mandatory.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• Vacation time.

• 401k plan.

• Eligibility for equity programs.

• Eligibility for discretionary annual incentive programs.

• Reasonable accommodations for qualified individuals with disabilities.