Molina Healthcare · 16 hours ago
Senior GenAI Engineer/Data Scientist / Remote
United States
Full-time
Remote
Senior Level
6+ years expMolina Healthcare is seeking a highly skilled GenAI / Agentic AI Engineer to design, build, and deploy autonomous, LLM-powered systems that solve complex business problems at scale. This role involves working at the intersection of LLMs, systems engineering, and applied ML, particularly in the healthcare domain.
Health CareHospitalMedical
Responsibilities
Design, build, and deploy agentic AI systems using LLMs, tools, memory, and planning frameworks
Implement multi-agent and single-agent workflows for autonomous task execution, decision support, and orchestration
Develop tool-using agents (function calling, structured outputs, APIs, databases, workflows)
Design and optimize RAG pipelines, including document ingestion, chunking strategies, embeddings, vector stores, and retrieval ranking
Implement advanced retrieval techniques (hybrid search, metadata filtering, re-ranking, query rewriting)
Evaluate and tune RAG systems for accuracy, latency, grounding, and hallucination reduction
Fine-tune and adapt foundation models (instruction tuning, LoRA, adapters) for domain-specific use cases
Optimize prompts, schemas, and system instructions for reliability and determinism
Apply reinforcement or feedback-driven optimization where applicable (human or automated eval loops)
Define evaluation frameworks for GenAI systems, including task success, factuality, grounding, latency, and cost
Build monitoring and observability for agent behavior, tool calls, and failure modes
Partner with governance and risk teams to ensure responsible AI practices, traceability, and compliance
Deploy GenAI and agentic systems into production using cloud-native architectures
Implement CI/CD, versioning, rollback, and runtime safeguards for LLM applications
Optimize systems for performance, cost efficiency, and scalability
Collaborate closely with software engineers, product managers, data scientists, and business stakeholders
Translate ambiguous business problems into well-structured agentic solutions
Mentor junior engineers and contribute to GenAI best practices and internal standards
Qualification
Required
Strong Python proficiency and experience building production-grade services
Deep understanding of LLMs and foundation models (GPT, Claude, Llama, etc.)
Hands-on experience with agent frameworks (e.g., LangGraph, Semantic Kernel, DSPy, AutoGen, CrewAI, custom frameworks)
Strong knowledge of RAG architectures, vector databases, and embedding models
Experience with structured outputs, function calling, JSON schemas, and tool orchestration
Familiarity with LLM evaluation techniques and failure mode analysis
Experience with APIs, microservices, and distributed systems
Strong analytical thinking and ability to structure ambiguous problems
Ability to explain complex GenAI concepts to both technical and non-technical audiences
Proven ability to work cross-functionally in fast-moving environments
Master's Degree in Computer Science, Data Science, Statistics, or a related field
6 plus years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
Knowledge of big data technologies (e.g., Hadoop, Spark)
Familiar with relational database concepts, and SDLC concepts
Demonstrate critical thinking and the ability to bring order to unstructured problems
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges
Preferred
Hands-on experience building and deploying GenAI / LLM-based systems
Experience working in regulated industries (healthcare, finance, insurance)
Hands-on experience with cloud GenAI platforms (Azure AI Studio / Foundry, Databricks, Snowflake Cortex)
Experience with observability and governance tools for GenAI systems
Familiarity with NLP, document intelligence, or multimodal AI
PhD or equivalent advanced research experience is a plus
Proven experience designing agentic workflows, not just prompt-based applications
Benefits
Molina Healthcare offers a competitive benefits and compensation package.
Company
Molina Healthcare
Molina Healthcare is a healthcare company that specializes in government-sponsored healthcare programs for families and individuals.
10001+ employees
H1B Sponsorship
Molina Healthcare has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (56)
2024 (45)
2023 (43)
2022 (31)
2021 (35)
2020 (55)
Funding
Current Stage
Public CompanyTotal Funding
$2.35B2025-11-17Post Ipo Debt· $850M
2024-11-13Post Ipo Debt· $750M
2021-11-16Post Ipo Debt· $750M
Leadership Team
Dave Reynolds
Executive Vice President, Health Plans & Medicaid Chief Operating Officer
Debbie Simkins
Vice President, Office of the CIO
Recent News
2026-01-17
Company data provided by crunchbase