Director of Machine Learning

Director, AI & ML (US - Hybrid - 1 x per month in Boston)Role Overview & Scope Care Lumen is building an AI-first healthcare platform serving complex payer workflows across Care Management, Utilization Management, and LTSS.We are seeking a Director of AI & Machine Learning to establish and lead our ML & AI function from the ground up. This is a foundational leadership role responsible for defining our AI strategy, building a high-impact team, and delivering production-grade ML and AI capabilities embedded directly into core payer workflows.This leader will sit at the intersection of Engineering, Product, Clinical Operations, and Data — translating real-world healthcare complexity into safe, scalable AI systems that measurably improve automation, accuracy, and clinical efficiency.This is not a research role. It is a production AI leadership role focused on delivering real, regulated, enterprise-grade systems. The ideal candidate is a builder-operator, not a pure data scientist and not an AI evangelist.Leadership Profile The ideal candidate is:Strategically minded but execution-orientedComfortable with ambiguity and building from zeroEqually credible with engineers and executivesPassionate about responsible AI in high-stakes domainsMotivated by building long-term enterprise value and capability, not short-term experimentsTeam-focusedComfortable in a leadership roleA frequent and effective communicatorKey Responsibilities1. AI Strategy & Architecture Define and execute a multi-year AI roadmap aligned to product evolution and regulatory constraints (CMS, Medicaid, HIPAA, NCQA).Architect scalable ML and generative AI systems embedded in software products.Evaluate and select appropriate model strategies (predictive models, RAG pipelines, fine-tuned LLMs, reasoning models, agentic workflows).2. Build & Lead the AI Function Recruit and develop a small (4 to start), experienced team of ML engineers and applied AI specialists.Establish experimentation standards, prompt engineering practices, evaluation benchmarks, and model lifecycle processes.Create a culture of pragmatic, production-focused AI engineering.3. Production AI Delivery Deliver end-to-end ML/AI solutions, including:Risk prediction modelsIntelligent document summarizationRAG-based or knowledge-graph-based systemsFine-tuned LLM applicationsAgentic automation workflowsEnsure solutions are measurable, reliable, and embedded into production workflows.4. MLOps & Governance Establish robust MLOps pipelines (training, validation, deployment, monitoring).Implement model observability, drift detection, and performance monitoring.Partner with Security and Compliance to define responsible AI standards (fairness, bias evaluation, explainability, audit trails).Design PHI-safe AI environments and secure data pipelines.5. Cross-Functional Leadership Partner with Product and Clinical leaders to identify high-value AI use cases.Translate complex AI concepts into executive-ready business cases.Guide organizational AI literacy and responsible adoption.Skills, Knowledge & ExpertiseBS in Computer Science, Data Analytics, ML/AI, or related field.Minimum 10+ years in ML/AI engineering or applied data scienceMinimum 4+ years leading teams or building AI functions in a Senior Manager or Director roleProven track record delivering production ML, generative AI, and/or agentic systems at scale.Demonstrated experience with relevant frameworks and patterns, e.g.,Model evaluation and benchmarkingLLM fine-tuning (e.g., LoRA, instruction tuning)RAG and/or KG architecturesAgentic systems & workflowsHuggingFace ecosystemPyTorch / TensorFlowMLOps (CI/CD for ML, monitoring, versioning)Experience deploying and running ML/AL in cloud-native environments (AWS preferred)Demonstrated experience applying governance and guardrails to AI and agentic systemsStrong understanding of regulated data environments (healthcare preferred)What’s PreferredMasters of PhD in Computer Science, Data Analytics, ML/AI, or related fieldAgentic AI framework experience (LangGraph, CrewAI, or similar)Experience building AI platforms in PHI-safe or regulated environmentsKnowledge of FHIR APIs and healthcare ontologies (SNOMED, LOINC)Experience building AI Centers of Excellence or practice areasHealthcare payer domain expertise (UM, CM, risk scoring, prior authorization)Familiarity with CMS and Medicaid compliance considerationsWhat Success Looks Like (First 18–24 Months) AI roadmap aligned to product strategy and regulatory realitiesBuilt and retained a high-performing ML/AI teamProduction deployment of multiple ML/AI/LLM-powered featuresImplemented MLOps platform and model governance frameworkDemonstrated measurable operational impact (e.g., reduced manual review time, improved prediction accuracy, workflow automation gains)Responsible AI framework implemented with auditability and explainabilityCompensation & BenefitsThe expected total cash compensation for this role is market-driven, with an expected starting salary of $210,000 - $275,000 with up to 15% bonus. Salary is ultimately determined based on a candidate’s skills, expertise, and experience.Care Lumen offers a robust and comprehensive benefits package including:Remote-first environment with company provided computerThirteen paid holidays per year (average)Medical, dental and vision coverage with multiple levels of coverageHSA, FSA and Dependent Care accountsShort-term and Long-term disabilityLife and accidental death insuranceDiscounted voluntary benefits, such as additional life insuranceEmployee Assistance ProgramPaid Parental LeaveFlexible vacation time401(k) with employer matching and immediate vestingOffers are contingent upon successful completion of a background screening. Background screenings will be conducted in compliance with applicable laws and will not be initiated without your consent.Care Lumen is an equal opportunity employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other legally protected status.We are committed to providing reasonable accommodations to qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at apply@carelumen.com.About Care LumenCare Lumen is transforming healthcare by connecting people, care, and data—so that every decision leads to better outcomes. We empower care teams with a unified platform that delivers intelligent, real-time insights, streamlined workflows, and stronger collaboration across clinical, operational, and administrative domains.Our vision is bold: to reimagine how care is delivered by unifying clinical operations and unlocking insights that improve lives. We believe in the power of great people and purposeful technology—and with all of us aligned around a common goal, our potential grows even stronger. We’re building for impact today and evolving through innovation tomorrow.We’re a remote-first company that values flexibility, autonomy, and results over hours logged. We’re guided by values that push us to excel, stay curious, and take smart risks. The best solutions come from teams that listen, learn, and build together. And we’re focused on outcomes that matter—not just for our clients, but for the people they serve.Care Lumen’s LinkedInCare Lumen’s website Process – What to ExpectOur hiring process typically includes:AppliedRecruiter InterviewHiring Manager InterviewSecond Hiring Manager InterviewPanel InterviewSecond Panel InterviewOfferBackground CheckHired – Welcome to Care Lumen!