Director, AI & ML (US - Remote)

• Strategically minded but execution-oriented 
• Comfortable with ambiguity and building from zero 
• Equally credible with engineers and executives 
• Passionate about responsible AI in high-stakes domains 
• Motivated by building long-term enterprise value and capability, not short-term experiments 
• Team-focused 
• Comfortable in a leadership role 
• A frequent and effective communicator 

Key Responsibilities

• 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). 

• 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. 

• Deliver end-to-end ML/AI solutions, including: 
• Risk prediction models 
• Intelligent document summarization 
• RAG-based or knowledge-graph-based systems 
• Fine-tuned LLM applications 
• Agentic automation workflows 
• Ensure solutions are measurable, reliable, and embedded into production workflows. 

• 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. 

• 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 & Expertise

• BS in Computer Science, Data Analytics, ML/AI, or related field. 
• Minimum 10+ years in ML/AI engineering or applied data science 
• Minimum 4+ years leading teams or building AI functions in a Senior Manager or Director role 
• Proven 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 benchmarking 
• LLM fine-tuning (e.g., LoRA, instruction tuning) 
• RAG and/or KG architectures 
• Agentic systems & workflows 
• HuggingFace ecosystem 
• PyTorch / TensorFlow 
• MLOps (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 systems 
• Strong understanding of regulated data environments (healthcare preferred) 

• Masters of PhD in Computer Science, Data Analytics, ML/AI, or related field 
• Agentic AI framework experience (LangGraph, CrewAI, or similar) 
• Experience building AI platforms in PHI-safe or regulated environments 
• Knowledge of FHIR APIs and healthcare ontologies (SNOMED, LOINC) 
• Experience building AI Centers of Excellence or practice areas 
• Healthcare payer domain expertise (UM, CM, risk scoring, prior authorization) 
• Familiarity with CMS and Medicaid compliance considerations 

• AI roadmap aligned to product strategy and regulatory realities 
• Built and retained a high-performing ML/AI team 
• Production deployment of multiple ML/AI/LLM-powered features 
• Implemented MLOps platform and model governance framework 
• Demonstrated measurable operational impact (e.g., reduced manual review time, improved prediction accuracy, workflow automation gains) 
• Responsible AI framework implemented with auditability and explainability 

Compensation & Benefits

• Remote-first environment with company provided computer 
• Thirteen paid holidays per year (average) 
• Medical, dental and vision coverage with multiple levels of coverage 
• HSA, FSA and Dependent Care accounts 
• Short-term and Long-term disability 
• Life and accidental death insurance 
• Discounted voluntary benefits, such as additional life insurance 
• Employee Assistance Program 
• Paid Parental Leave 
• Flexible vacation time 
• 401(k) with employer matching and immediate vesting 

1. Applied 
2. Recruiter Interview 
3. Hiring Manager Interview 
4. Second Hiring Manager Interview 
5. Panel Interview 
6. Second Panel Interview 
7. Offer 
8. Background Check 
9. Hired – Welcome to Care Lumen!