Radiant is building the world's first mass-produced, portable nuclear microreactors and needs to establish internal data infrastructure, executive analytics, and AI capabilities to support this mission. The company requires a Technical Lead to architect the data platform, own the AI strategy, and ensure compliance with strict security requirements (ITAR/EAR) for AI solutions.
Requirements
- 10+ years of software or data engineering experience, including hands-on AI/ML work
- Deep understanding of the AI landscape—you can evaluate vendor tools, understand RAG architectures, and advise on build-vs-buy tradeoffs
- Data platform architecture experience—you've designed and built systems on Databricks, Snowflake, or similar
- Experience with data integration tools (Fivetran, Airbyte, dbt)
- Familiarity with BI/analytics tools (Looker, Tableau, Power BI, Databricks dashboards)
- Experience in regulated environments (SOC 2, FedRAMP, ITAR)
Responsibilities
- Define the architecture for our data platform (Databricks, Fivetran, dbt) and AI tooling; make build-vs-buy decisions
- Evaluate and select AI platforms (chatbot, enterprise search, specialized tools) that meet security requirements; lead RAG evaluation in H2
- Ensure the ION-Ramp integration, dashboards, and AI tools are built correctly; hands-on when needed
- Set the technical bar for hiring; develop the DevOps and Data Platform Engineers on the team
- Coordinate with the Software Engineering team on shared Databricks infrastructure; ensure operational and engineering workloads coexist
- Work with IT/Security to ensure all technical decisions meet ITAR/EAR compliance requirements
Other
- Strong technical leadership—you can set direction, mentor engineers, and interface effectively with non-technical stakeholders
- Hands-on ability—you're a player-coach who can write code when needed, not just draw diagrams
- Background in hardware, aerospace, or defense—you understand manufacturing data, supply chain systems, and the complexity of physical product development
- Experience shipping AI products or building AI capabilities at a company (not just research)
- This position requires the ability to work in the United States and eligibility for access to export-controlled information under ITAR/EAR.
- Unfortunately, we are unable to provide visa sponsorship at this time.
