Director, AI Platform – Transformation

iRhythm Technologies, Inc.

. Define the AI platform and transformation roadmap aligned to business priorities and measurable outcomes .

Posted 9/16/2026full-timeRemote • United StatesLead💰 $218,000 - $284,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling AI applications and platforms, particularly in healthcare, with a strong focus on generative AI, LLMs, and machine learning infrastructure. Proven ability to lead cross-functional teams, establish AI governance, and drive AI literacy across organizations.

Highest-signal resume keywords

AI Product DevelopmentGenerative AI SystemsMachine Learning InfrastructureHealthcare AI SolutionsCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkSpark Structured StreamingPyTorchScalaFastAPILLMsLangChainLangGraphMLflow

Soft Skills

Executive CommunicationCross-Functional LeadershipJudgment in Regulated Environments

Tools & Technologies

AWS BedrockDatabricksSnowflakeVLLMRayModel Context ProtocolLangfuse

Industry Keywords

Healthcare Decision-MakingAI GovernanceResponsible-AI ReviewsHIPAAFDA-Regulated EnvironmentsSOXGDPR

Tech Stack

Tools & technologies

AWSPySparkPythonPyTorchRayScalaSpark

About the role

Key responsibilities & impact

Define the AI platform and transformation roadmap aligned to business priorities and measurable outcomes
Prioritize AI opportunities across Clinical Operations, Commercial, Finance, Customer Care, Manufacturing, Quality, R&D, and enterprise functions
Lead initiatives from discovery through production launch, adoption, and continuous improvement
Architect and scale AI applications and platforms using generative AI, LLMs, RAG, agents, workflow orchestration, and model evaluation
Partner with Data Platform and Engineering to make governed data products, semantic definitions, metadata, lineage, and data quality usable by AI systems
Establish standards for reliability, autoscaling, performance, security, privacy, testing, monitoring, observability, incident response, lifecycle management, and cost control
Build business cases, value-realization plans, governance playbooks, and executive reporting
Lead and grow teams and strategic vendor partnerships while driving AI literacy and adoption across the organization

Requirements

What you’ll need

7+ years of experience building and scaling AI software products serving audiences ranging from thousands to millions of users
Experience designing and operating large-scale machine learning infrastructure, including autoscaling, reliability, and production performance optimization
4+ years of experience building AI and generative AI systems, including developing AI models, fine-tuning LLMs, evaluating model quality, deploying and productionizing LLM applications, and monitoring them in enterprise environments
3+ years of hands-on experience building AI applications and platforms using LLMs, LangChain, LangGraph, RAG, workflow orchestration, MLflow, and AWS Bedrock
3+ years of experience as the owner of an applied AI product domain
Hands-on experience deploying and operating AI systems using vLLM, Ray, Model Context Protocol (MCP), and Langfuse
7+ years of professional experience with Python and strong experience with PySpark, Spark Structured Streaming, PyTorch, Scala, and FastAPI
Demonstrated experience building AI products that support healthcare decision-making
Demonstrated experience building AI platforms for healthcare clients or within the healthcare industry
Professional experience with Databricks or Snowflake
12 years of experience working in and with Technology Organizations
5 years in a leadership role
Excellent executive communication, cross-functional leadership, and judgment in regulated or high-consequence environments
Bachelor’s degree in a related field or equivalent practical experience
Familiarity with HIPAA, FDA-regulated environments, SOX, GDPR, or comparable frameworks
Experience establishing AI governance, responsible-AI reviews, enterprise standards, or AI literacy programs
Experience with strategic vendors, implementation partners, and complex build-versus-buy decisions

Benefits

Comp & perks

Reasonable accommodations for qualified individuals with disabilities in job application procedures
Inclusive workforce and equal opportunity employment