Director, AI Platform & Transformation

Career-defining. Life-changing.

At iRhythm, you’ll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what’s possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career

• About This Role:

iRhythm is creating a healthier future through innovative cardiac care. Our Data, Analytics & AI organization is building governed platforms, data products, and intelligent workflows that help our teams make better decisions and deliver more value.

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.

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.

Location

Remote within the United States.

• Location:

Remote - US

Actual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.

Estimated Pay Range

$218,000.00 - $284,000.00

As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.

iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our system. If you need such an accommodation, you may contact us at mailto:[email protected] [email protected]

About iRhythm Technologies

iRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm’s vision is to deliver better data, better insights, and better health for all.

Make iRhythm your path forward. Zio, the heart monitor that changed the game.

There have been instances where individuals not associated with iRhythm have impersonated iRhythm employees pretending to be involved in the iRhythm recruiting process, or created postings for positions that do not exist. Please note that all open positions will always be shown here on the iRhythm Careers page, and all communications regarding the application, interview and hiring process will come from a @irhythmtech.com email address. Please check any communications to be sure they come directly from @irhythmtech.com email address. If you believe you have been the victim of an imposter or want to confirm that the person you are communicating with is legitimate, please contact [email protected]. Written offers of employment will be extended in a formal offer letter from an @irhythmtech.com email address

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For more information, see https://www.ftc.gov/business-guidance/blog/2023/01/taking-ploy-out-employment-scams https://www.ftc.gov/business-guidance/blog/2023/01/taking-ploy-out-employment-scams and https://www.ic3.gov/Media/Y2020/PSA200121 https://www.ic3.gov/Media/Y2020/PSA200121

• 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.