Senior Software Engineer I- (Forward Deployed AI)

Embed with a PTA cohort and ship targeted enablement. Pair with engineers, PMs, and analysts on the assigned team; build plugins, skills, hooks, and connectors that solve their highest-friction workflows; measure adoption and impact.

Productize wins into the platform. Generalize cohort-specific work into reusable plugins, skill templates, and patterns published to the Claude Code Plugin Marketplace; document authorship guides; reduce the activation cost for the next cohort.

Integrate new tools through the MCP Gateway + AWS connector layer. Add and harden MCP server integrations (Glean, Slack, Jira, Snowflake, Salesforce, Databricks, etc.) to the gateway; partner with security and platform owners on auth/scopes/observability.

Feed back to the platform team and AI Unlock program. Contribute to roadmap and quarterly milestones; participate in office hours and brownbags as a practitioner; surface blockers (security, BAA, cost, throttling) early.

Support adoption health. Help close the long tail of repos with no .claude/ config; mentor cohort engineers on agentic-coding patterns; on-call rotation for marketplace-published artifacts.

BS/BTech (or higher) in Computer Science, Engineering or a related field.

3+ years professional software engineering experience

Production experience with at least one modern application stack (Python, TypeScript/Node, Go, or similar) and modern CI/CD.

Demonstrated ability to ship end-to-end in unfamiliar codebases — e.g., consulting, forward-deployed, solutions, or platform-adjacent backgrounds.

Direct hands-on experience with one or more agentic coding tools in a production or near-production setting (Claude Code, Cursor, Cody, Copilot agents, Aider, or equivalent).

Strong written communication: comfortable producing documentation, runbooks, and educational artifacts for engineers who weren't in the room.

Experience authoring or maintaining MCP (Model Context Protocol) servers, Claude Code plugins, skills, hooks, or comparable LLM-tooling integrations.

Background in healthcare technology, HIPAA-regulated environments, or PHI-handling systems.

Prior FDE / customer-facing engineering / solutions architect / TPM-with-IC-chops experience.

Familiarity with Aledade's stack (Python/FastAPI, Vue/TypeScript, Postgres, AWS, Auth0, Datadog, Sumo Logic) is a plus but not required.

Experience integrating tools through API gateways, OAuth/M2M flows, or service meshes.

Comfort across the full stack (frontend/backend/infra) — FDE work doesn't honor team boundaries.