Act as a strategic consultant to business function leaders to identify, vet, and prioritize high-value AI use cases
Partner in the development of comprehensive business cases for new AI investments, translating technical performance metrics into financial and operational KPIs
Present complex AI strategies, risks, and performance metrics to the Executive Leadership Team in a clear, compelling, and non-technical manner
Lead internal AI literacy efforts, guiding different functions on how to strategically leverage and measure the impact of new AI technologies
Lead quick, focused Proofs of Concept (POCs) on emerging technologies
Conduct deep technical due diligence and performance testing on third-party AI vendors
Define the path for moving successful AI prototypes from the pilot environment to enterprise-wide production deployment
Define the technical and architectural roadmap for AI integration
Collaborate with the Security and Compliance teams to define and enforce Responsible AI policies
Serve as the technical expert to ensure AI solutions integrate seamlessly with our core systems
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field
7+ years of progressive experience in technology, solutions engineering, commercial software development
Hands-on experience with core AI technologies (LLMs, Agents, NLP, predictive analytics) and proficiency in cloud platforms ( Azure, GCP, or AWS )
Experience with healthcare data standards (FHIR, HL7) and MLOps principles is essential.
Deep working knowledge of the healthcare provider landscape, including core systems (EMR), Revenue Cycle Management (RCM), and regulatory requirements (HIPAA, HITECH).
Exceptional ability to distill complex technical concepts into clear, strategic narratives for both engineers and C-suite executives.
A curious, experimental mindset with a proven history of independent "tinkering," developing prototypes, and challenging the status quo for technological improvement.
At least 2 years directly focused on deploying and integrating AI/ML models in an enterprise high growth setting
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
Generous PTO (Paid Time Off) plans and paid holidays
Eligibility for full benefits package beginning within your first month of employment