VP of AI (Remote in North Carolina)

Posted 15 days agoViewed

💎 Seniority level: Vp, 10+ years

📍 Location: North Carolina

💸 Salary: 240000.0 - 252000.0 USD per year

🔍 Industry: Legal Tech

🏢 Company: Rocket Lawyer👥 251-500💰 $223,000,000 Debt Financing almost 4 years agoLegal Tech Law Enforcement Legal

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: PythonArtificial IntelligenceCloud ComputingMachine LearningPyTorchAmazon Web ServicesData engineeringTensorflow

10+ years of experience in AI, machine learning, and data science, with at least 5+ years in a leadership role.
Proven experience leading LLM-driven projects, including fine-tuning, RAG, and prompt engineering.
Deep expertise in NLP, deep learning, and AI model deployment at scale.
Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere, Mistral, Llama), vector databases (e.g., Pinecone, Weaviate, FAISS, Pgvector), and MLOps frameworks.
Strong knowledge of Python, TensorFlow, PyTorch, LangChain, and AI/ML cloud services.
Experience deploying AI models in production-grade applications with security, reliability, and scalability.
Understanding of data pipelines, data engineering, and feature engineering for ML.
Experience with at least one of the clouds (GCP, AWS or Azure).
Exceptional leadership, strategic thinking, and ability to drive AI adoption across an organization.
Strong communication skills to translate complex AI concepts into business value.

Develop and execute Rocket Lawyer’s AI strategy, including LLM fine-tuning, prompt engineering, RAG pipelines, and scalable AI deployment, with a focus on Rocket Copilot.
Own the roadmap for AI-driven capabilities, ensuring alignment with business objectives and user needs.
Lead the design and implementation or usage of AI/ML models, particularly LLMs, NLP applications, and generative AI for legal tech solutions.
Drive innovation in AI-driven legal assistance, contract analysis, and intelligent conversational document generation and processing.
Build and lead a high-performing AI team, fostering a culture of innovation, ownership, and technical excellence.
Collaborate with engineering leadership to integrate AI models into production systems at scale.
Ensure AI models are ethical, explainable, unbiased, and aligned with privacy and security standards.
Evaluate and implement AI infrastructure, MLOps best practices, and cloud-based AI deployments.
Stay ahead of AI trends, academic research, and emerging LLM techniques to maintain a competitive edge.
Work cross-functionally with legal, product, and customer teams to deliver user-friendly AI-powered solutions.