Distinguished Architect, IT, Data and AI Integration
Edwards Lifesciences
AWSAzureCloudETL
Director, AI
Goodwin
full-time
Posted on:
Location Type: Hybrid
Location: Silicon Valley • California, New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $235,000 - $315,000 per year
Job Level
Lead
Tech Stack
DockerPythonPyTorchSparkSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningartificial intelligencedata engineeringPythonPyTorchSparkSQLMLOpsvector searchorchestration frameworks
Soft skills
stakeholder managementmentoringleadershipcommunicationproblem framingchange managementtrainingcollaborationadaptabilitydecision making
