p style="text-align:inherit !important"/>There is no monthly premium required for Employee's coverage:
• Medical Insurance - Includes Medical, Dental, Vision, Audio, and Prescription Drug coverage + $125 annual reimbursement for purchase of eligible vitamins & minerals.
Additional job requirements and responsibilities would be discussed during the interview process.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
WHAT YOU'VE DONE: Bachelor's degree, or higher education level, or its foreign equivalent, in Computer Science, Computer Information Sciences, and/or related field Total Work Experience: 7+ years (software development), 5+ years of strategic leadership experience Expertise in AI/ML systems: LLM integration, RAG pipelines, vector databases, and prompting strategies Experience with LLM evaluation frameworks (e.g., RAGAS, LangSmith evaluations, custom benchmarks) Hands-on experience with agent frameworks, workflow orchestration, and LLM runtime systems (e.g., LangGraph, Agent Development Kit, Agent Framework, or similar), including tool use, memory, evaluation, and governance SPECIALIZED KNOWLEDGE, SKILLS, AND/OR ABILITIES: Expert of scalable, resilient, modern, cloud-native microservice development with Java, NET, Python, or Typescript Excels in the ability to lead, teach, and guide modern software-development practices across Product Development, operating independently with guidance Experience building monitoring, alerting, and observability for maintaining high customer SLAs for SaaS delivered products Experience in regulated industries (financial services, insurance, healthcare) preferred Experience with CQRS, event-driven architecture, and Kafka Experience with Terraform/Ansible or other IaC platforms Experience with cost controls and usage attribution of model execution Knowledge of data security, compliance, and responsible AI principles Experience in Cloud platforms and cloud-native architectures, including Serverless Proven experience building multi-agent systems with planning, tool calling, and state management Expert with CI/CD to deliver software enhancements to customers with full automation * Expert in distributed software patterns, such as DDD, microservices, serverless, and event-driven architecture WHAT ADDITIONAL INFORMATION YOU MAY WANT TO KNOW: Travel: 0-10% Work Authorization: Legally authorized to work in the country of job location. You will design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services.