Hybrid Director, AI

at Goodwin

• Job title: Director, AI
• Job type: Full Time
• Experience level: Lead
• Salary: $235,000 - $315,000 per year
• Degree requirement: No Education Requirement
• Tech skills: Docker, Python, PyTorch, Spark, SQL
• Location requirements: Hybrid, Silicon Valley, United States

About the role

• Director of AI developing and deploying proprietary AI solutions for Goodwin's operations. Leading technical roadmaps and collaboration for AI integration in legal services.

Responsibilities

• Set proprietary models for a list of targeted use cases with documented accuracy, latency and ROI targets.
• Stand up a secure AI data layer (feature store, vector DB, retrieval pipelines) over firm content with permissions-aware retrieval.
• Develop auditable governance including model cards, evaluation harness, bias testing, and quarterly review with legal and information security.
• Operationalize CI/CD models / agents, evaluations, observability, rollback and cost tracking
• Hire and mentor a blended team to machine learning, data and prompt engineers
• Partner with KM on domain taxonomies, embeddings strategies, and feedback loops to continuously improve models.
• Work with general counsel and privacy operations on confidentiality, data retention, vendor due diligence and AI policy – aligning to Goodwin Model Risk Management and Responsible AI standards.
• Lead end to end lifecycle including problem framing, data pipelines, model selection, fine tuning, evals, deployment, monitoring and iteration
• Architect RAG over privilege content with strict access controls.
• Implement safety layers including prompt hardening and output filtering
• Build evaluation and assurance reference sets from attorney labeled data, offline/online A/B and human in the loop review.
• Own change management and adoption including training plans, playbooks and success metrics with named practice leaders.
• Publish internal guidance on model cards, decision logs, user guidelines.

Requirements

• 10+ years building ML/AI products; 4+ years leading applied ML/LLM teams
• Hands-on with modern LLM stacks, vector search, orchestration frameworks
• Strong data engineering foundations (Python, PyTorch, Spark, SQL); MLOps (Docker, feature store, model registry)
• Demonstrated experience with high sensitivity data and regulated deployments (privacy, privilege and auditability)
• Great stakeholder management skills with attorneys / partners and business leaders.
• Proven record translating ambiguity into shipped systems.

Benefits

• Flexible work arrangements and hybrid work schedule
• Health, dental, and vision insurance
• Life and disability insurance
• Retirement & Savings Plan
• Emergency back-up child and adult care
• Paid vacation, sick time off, and holidays
• Professional development and career advancement opportunities
• Employee recognition and reward programs
• Employee wellness and assistance programs
• Employee discounts and perks