AI Solutions Engineer
Core
Identify high-leverage opportunities for internal AI adoption and build working prototypes to validate impact on revenue, efficiency, and quality.
Role type
Applied AI Solutions Engineer (Internal Tooling & Prototyping)
Builds
Internal workflow automations, reusable prompt systems, AI-enabled tools, and early integrations
Domain
Software supply chain security + Applied Generative AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Software/automation tooling, LLM API integration, prompt engineering, RAG, API wiring, Go/Python programming, stakeholder consulting
Preferred skills
Agent ecosystems (MCP, orchestration), internal consulting experience, open-source community involvement, security governance
Technologies
Claude Code, Anthropic API, Glean, Slack, Google Workspace, GitHub, Linear
Responsibilities
Run listening tours to identify high-impact workflows, prototype use cases from idea to validation, partner with functional owners to build business cases, build responsibly within security/legal guardrails, document and share prototypes, model responsible AI building standards
Seniority
Mid-Senior, hands-on IC
