Overview
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Goodwin is seeking a Director of AI to lead the design and deployment of proprietary AI models 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. The Director of AI will be responsible for setting the technical roadmap, leading custom AI developments, and pioneering AI solutions and awareness across the firm. The ideal candidate will balance long-term AI solution roadmap planning with day-to-day engineering execution and hands-on technical oversight.
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 privileged 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, and user guidelines.
Who You Are
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.10+ years building ML / AI products; 4+ years leading applied ML / LLM teamsHands-on with modern LLM stacks, vector search, orchestration frameworksStrong 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 scheduleHealth, dental, and vision insuranceLife and disability insuranceRetirement & Savings PlanEmergency back-up child and adult carePaid vacation, sick time off, and holidaysProfessional development and career advancement opportunitiesEmployee recognition and reward programsEmployee wellness and assistance programsEmployee discounts and perksConsistent with city and state fair chance hiring ordinances, the firm provides equal employment opportunities regardless of race, color, religion, sex, national origin, age, disability, veteran status, or other protected status. If you require a reasonable accommodation to participate in the application or interview process, please contact the Benefits Department or Recruiting Department as appropriate.
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