- Experience designing, building, and deploying enterprise AI solutions using platforms such as Claude, Gemini, Antigravity, Glean, or Atlassian Rovo
- Experience developing secure integrations between AI agents and enterprise systems such as Slackbot, Jira, Confluence, and Google Workspace using APIs, permission-aware connectors, and Model Context Protocol (MCP)
- Hands-on experience developing and evaluating AI agents, enterprise search capabilities, and retrieval-augmented generation (RAG) pipelines, with attention to retrieval quality, data permissions, and governance
- Experience engineering agent deployment and lifecycle automation, including testing, versioning, observability, token management, and secure service identities
- Track record of taking AI solutions from proof of concept to production, incorporating user feedback and delivering measurable improvements in employee productivity
- Experience shaping technical roadmaps, evaluating AI platforms and frameworks, and optimizing solution reliability, performance, scalability, and cost
- Strong communication skills
Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $X/hour - $X/hour or $X - $X base salary
Illinois, Colorado, Massachusetts and Minnesota: $X/hour - $X/hour or $X - $X base salary
Washington, Maryland, New Jersey and New York (including NYC metro area): $X/hour - $X/hour or $X - $X base salary
Washington DC: $X/hour - $X/hour or $X - $X base salary
Ohio: $X/hour - $X/hour or $X - $X base salary
Canada: CAD $X/hour - CAD $X/hour or CAD $X - CAD $X base salary