Edwards Lifesciences · 3 days ago
Director, AI
Edwards Lifesciences is dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. They are seeking a Director of AI to lead the enterprise strategy, delivery, and operations of AI solutions, blending software engineering leadership with applied AI/ML and platform operations.
BiotechnologyHealth CareMedicalMedical Device
Responsibilities
Lead the enterprise strategy, delivery, and operations of AI solutions spanning traditional machine learning and generative AI
Establish common patterns for data and model lifecycle, governance, and security, and scalable MLOps across our cloud environment (primarily AWS) and core data platforms (e.g., Snowflake/Databricks, lakehouse/warehouse technologies, application platforms)
Build and lead a high‑performing team (10+ engineers) to deliver production‑grade AI capabilities, partnering with Enterprise Architecture, Cloud Engineers, InfoSec, and business stakeholders to achieve measurable outcomes
Partner with IT Leaders and the business to build the AI platform roadmap across AI/ML, and application layers; set standards, guardrails, and reusable templates for rapid, secure delivery for pre and post launch
Create reference architectures for data ingestion, transformation, feature engineering, model serving, and user‑facing experiences; standardize pathways from prototype to production
Partner with Enterprise Architecture, InfoSec, CloudOps to embed governance, reliability, and security into all AI initiatives; align designs with cloud architecture and data strategy
Lead multiple cross‑functional workstreams delivering AI/ML solutions (traditional ML + GenAI) using Foundry; ensure secure‑by‑design pipelines, reproducibility, CI/CD, monitoring, and SLAs
Own the end‑to‑end lifecycle (data acquisition → feature engineering → model training/eval → deployment → post‑prod monitoring) with automated model/data lineage, drift detection, and rollbacks
Oversee integrations with Snowflake, Databricks and other core data platforms via recommended connectors and AWS PrivateLink/VPC patterns; ensure performance, cost‑efficiency, and security posture
Hire, coach, and develop 10+ AI engineers (Palantir application engineers, data engineers, ML engineers, and DevOps), fostering a culture of speed, high quality delivery, teamwork, and patient focused mentality
Set goals, career paths, and learning plans (Palantir certifications, AWS specialization, security best practices)
Translate business problems into scalable AI solutions; partner with product owners and domain SMEs for outcomes‑focused delivery
Manage relationships with Palantir and other strategic vendors, coordinate architecture reviews, joint workshops, and operational playbooks
Enforce responsible AI practices, security controls, privacy‑by‑design, and compliance workflows across all Palantir/AWS projects
Qualification
Required
Bachelor's degree or equivalent work experience based on Edwards criteria
Strong software engineering background
Experience delivering production AI/ML solutions
Hands-on experience with coding (e.g., Python), data engineering frameworks (Spark), and modern CI/CD/MLOps (feature stores, model registry, automated testing). Expertise with any combination of these is welcome
Strong communication skills, with the ability to convey technical concepts to senior business leaders
Preferred
Proven experience designing secure data integrations (e.g., Snowflake/Databricks ↔ Foundry using native connectors, PrivateLink/VPC endpoints)
Hands-on experience with Palantir Foundry (covering: Data Ingestion, Transformation, Ontology, AIP, and Workshop/end‑user apps)
Extensive experience in AWS or any public cloud services (security, networking, IAM; compute/storage; serverless; observability)
Experience in regulated industries (e.g., healthcare/medtech); familiarity with responsible AI and model risk governance
Proven experience leading teams of 10+ engineers; demonstrated ability to scale teams, processes, and platforms
Palantir certifications; expertise with Foundry Code Repositories, Transform pipelines, AIP agents, Ontology operations, Workshop/Slate
AWS networking/security patterns (Transit Gateway, PrivateLink, VPC endpoints, proxy/egress controls); cost governance for compute/storage
Experience with Snowflake performance optimization, virtual tables/ELT, and federated query patterns on Foundry
Benefits
Competitive salaries
Performance-based incentives
A wide variety of benefits programs
Company
Edwards Lifesciences
Edwards Lifesciences is a provider of science of heart valves and hemodynamic monitoring.
H1B Sponsorship
Edwards Lifesciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (81)
2024 (70)
2023 (42)
2022 (65)
2021 (44)
2020 (28)
Funding
Current Stage
Public CompanyTotal Funding
unknown2000-04-03IPO
Leadership Team
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