Principal Solutions Engineer, Data & AI

What you'll do

• Lead technical discovery, solution design, RFPs, security reviews, proof-of-value programs, and data-delivery scoping for enterprise deals.
• Help customers configure data and AI products and deliver data into customer environments; own technical narratives for AI and MCP products.
• Build reusable demos and solution resources, and partner across commercial, product, data, and engineering teams.

What they ask for

• 5 to 10 years of customer-facing solutions engineering, sales engineering, or solutions architecture experience.
• Track record of owning full technical evaluations in complex enterprise deals.
• Hands-on experience with modern data platforms such as Snowflake, Databricks, and SQL; practical healthcare claims-data experience, including CPT, HCPCS, ICD-10, and NPI.
• Daily, hands-on use of modern AI tools such as Claude, ChatGPT, Cursor, or similar; US work authorization without current or future visa sponsorship.

Nice to have

• Experience in MedTech, diagnostics, digital health, or healthcare commercial data.
• Familiarity with REST APIs, CRM platforms, BI tools, Python, Delta Sharing, HIPAA, or SOC 2; agentic workflows, Model Context Protocol, or other LLM-powered enterprise products.

Pay

$175K-$200K USD base salary; $275K-$325K USD target total earnings

Tools

Snowflake, Databricks, SQL, Claude, ChatGPT, Cursor, REST APIs, Python

AI focus

Own the technical narrative for AI and MCP products, including agentic workflows powered by healthcare claims intelligence; configure AI products and use modern AI tools hands-on.