Goodwin is seeking a Director of AI to lead the design and deployment of proprietary AI model trained on localized datasets. This role will accelerate the way our attorneys deliver value to our clients by embedding AI into the heart of our practice.
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)
- 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.
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.
Other
- Preference will be given to candidates with experience in regulated industries such as financial services, legal, or healthcare, where compliance, big data, and ethical AI practices are critical to success.
- Great stakeholder management skills with attorneys / partners and business leaders.
- Proven record translating ambiguity into shipped systems.
- Flexible work arrangements and hybrid work schedule
- Professional development and career advancement opportunities
