Lead AI Insights Engineer
WFA Digital Insight
The demand for AI and machine learning specialists in healthcare has grown significantly, with a 25% increase in job postings over the past year. As the industry shifts towards value-based care, companies like agilon health are looking for experts who can develop and deploy clinically appropriate AI products. With the rise of remote work, professionals with experience in data science, analytics, and healthcare can now apply for roles that were previously limited by geography. agilon health stands out for its commitment to using technology to improve patient outcomes, making this role an attractive opportunity for those passionate about healthcare and AI. Before applying, candidates should be aware that experience in the healthcare sector is a must, as well as a strong foundation in programming languages and data engineering tools.
Job Description
About the Role
The Lead AI Insights Engineer will play a crucial role in agilon health's Tech Group, delivering production-grade AI products that drive early disease identification and clinical recommendations. This role involves working closely with stakeholders across the organization to understand clinical, business, and technical requirements. The ideal candidate will have experience in developing and deploying AI products using Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) tools. The role is part of a fast-paced, agile environment where collaboration and communication are key.As part of the Insights Engineering team, the Lead AI Insights Engineer will contribute to the development of AI products that create real-world outcomes. This includes leveraging LLM tools to process unstructured clinical data, such as notes and images, and creating production-grade AI products with supporting data pipelines, monitoring, and performance analysis.
The role is remote, allowing professionals from across the United States to apply. The company is committed to using technology to improve patient outcomes, making this an attractive opportunity for those passionate about healthcare and AI.
What You Will Do
- Develop and deploy clinically appropriate AI products using LLMs, NLP, and ML tools
- Leverage LLM tools to drive early disease identification and clinical recommendations through unstructured clinical data
- Create production-grade AI products, including supporting data pipelines, monitoring, and performance analysis
- Communicate the value and opportunities of AI to internal stakeholders
- Collaborate with Market Operations, Insights Engineering, and Clinical teams to drive real-world outcomes
- Contribute to the development of AI products in a fast-paced, agile environment
- Work closely with stakeholders to understand clinical, business, and technical requirements
- Develop and maintain documentation of AI products and workflows
- Stay up-to-date with industry trends and advancements in AI and machine learning
What We Are Looking For
- 7+ Years of experience in a related field, including Analytics, Data Science, or Data Engineering
- 3+ Years of experience in a healthcare setting, preferably value-based care
- Bachelor’s and/or master’s in a quantitative field, such as Computer Science, Data Science, or Mathematics
- Strong SQL skills and experience, preferably with Snowflake and dbt
- Advanced knowledge of at least one programming language outside of SQL, preferably Python
- Experience with cloud data engineering and AI infrastructure tools, such as Snowflake Cortex, AWS Sagemaker/Bedrock, etc.
- Experience with AI-enabled development practices and tools, including Claude Code, Cursor, etc.
- Deep knowledge of data sources and common analytical methods in healthcare, including FHIR sources, claims, pharmacy, and lab data
Nice to Have
- Experience with data visualization tools, preferably Sigma
- Knowledge of value-based care concepts in the US, including Medicare payment models, medical margin, and quality of care
- Experience with MCP server development and context engineering best practices
- Certification in data science, machine learning, or a related field
Benefits and Perks
- Competitive salary range
- Opportunity to work remotely from anywhere in the United States
- Comprehensive health insurance package
- Generous paid time off policy
- Professional development opportunities, including training and conference sponsorships
- Access to cutting-edge technology and tools
- Collaborative and dynamic work environment
How to Stand Out
- Make sure to highlight your experience working with LLMs, NLP, and ML tools in your resume and cover letter.
- Be prepared to explain complex AI concepts to non-technical stakeholders during the interview process.
- Show a passion for using data to solve real-world problems in healthcare, and be able to provide examples from your previous experience.
- Familiarize yourself with agilon health's approach to value-based care and be ready to discuss how your skills can contribute to this mission.
- Consider creating a portfolio that showcases your work in AI product development, including any relevant code or project descriptions.
- Be prepared to negotiate salary based on your experience and the current market rate for AI and machine learning professionals in the healthcare industry.
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