Director, AI Platform & Transformation

iRhythm Technologies, Inc.

Any City, USRemotePosted 48 days ago$218,000 - $284,000/year

Full TimeDirector & AboveTech & Data (Health IT)Medical Device

Summary

The Director, AI Platform & Transformation will lead iRhythm’s enterprise AI strategy across platform, technology, business transformation, and adoption. This role will move AI from experimentation into secure, scalable, measurable production use. You will combine executive leadership with hands-on technical depth, partnering with business leaders, Data and Engineering, IT, Security, Privacy, Legal, Compliance, Quality, and Finance.

Job description

What You Will Be Doing

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.

Technology Environment

Our environment spans the enterprise AI and data stack. Experience with every named technology is not required.

AI and agents: Glean, LLMs, LangChain, LangGraph, RAG, workflow orchestration, model evaluation, MLflow, AWS Bedrock, vLLM, Ray, Model Context Protocol (MCP), Langfuse, prompt management, guardrails, and human-in-the-loop workflows.
Data and analytics: Snowflake, Snowflake Cortex, Databricks, PySpark, Spark Structured Streaming, PyTorch, Scala, FastAPI, semantic views, governed data products, Tableau, Retool, data quality, metadata, cataloging, and lineage.
Cloud and integration: AWS, Azure, APIs, CI/CD, observability, Alation, OAuth/SSO, and integrations with Jira, Confluence, GitLab, Salesforce, QAD, Workday, Microsoft 365, SharePoint, and Teams.

Required Qualifications

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, such as real-world data, agentic environments, evaluation, or multimodal and multilingual ML, where you drove significant business outcomes.
Hands-on experience deploying and operating AI systems using vLLM, Ray, the 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.

Preferred Qualifications

PhD in computer science, mathematics, software engineering, or a related technical field. This is preferred but not required.
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.

Requirements

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, such as real-world data, agentic environments, evaluation, or multimodal and multilingual ML, where you drove significant business outcomes.
Hands-on experience deploying and operating AI systems using vLLM, Ray, the 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.
PhD in computer science, mathematics, software engineering, or a related technical field. This is preferred but not required.
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

Estimated Pay Range $218,000 - $284,000
Remote within the United States

Company overview

iRhythm Technologies, Inc. is a leading digital healthcare company specializing in cardiac monitoring solutions. Founded in 2006 and publicly traded on NASDAQ under the ticker IRTC, the company has developed the innovative Zio platform, which combines wearable biosensors with cloud-based data analytics and proprietary algorithms to transform cardiac care. iRhythm's technology distills data from millions of heartbeats into clinically actionable information, enabling physicians to diagnose arrhythmias more quickly and efficiently than traditional methods. The company's flagship product, Zio by iRhythm, represents a significant advancement in ambulatory cardiac monitoring, offering long-term continuous monitoring that helps avoid multiple indeterminate tests and allows for appropriate medical intervention. With headquarters in San Francisco, California, iRhythm operates globally with a workforce of 1,001-5,000 employees dedicated to advancing digital health solutions. The company's mission focuses on creating trusted solutions that detect, predict, and prevent disease through a relentless focus on patient care, delivering better data, better insights, and better health outcomes for all.