Enterprise AI Solutions Architect
Contract evidence involving TypeScript, Python, RAG. First observed 3 Sept 2026; the response opens on upwork.com.
- Technology
- TypeScriptPythonRAGAI agents and agentic workflowsTool/function callingMonitoring and alerting
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- Solutions architect
- Seniority
- Lead / principal
- Observed
- 3 Sept 202656 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
Enterprise AI Solutions Architect. The source classifies this as contract work involving TypeScript, Python, RAG, AI agents and agentic workflows, Tool/function calling, Monitoring and alerting. Location or remote eligibility: Remote marketplace listing; framed as a hands-on individual-contributor role with leadership influence; submit a named architect and verify B2B/agency eligibility.
Technology and scope
The reported stack is Enterprise AI agents, MCP, function calling, RAG, search, Python, TypeScript, SSO, SCIM, OAuth, Google Workspace, Gemini, Glean, Claude, ChatGPT, Slack, CI/CD, IaC, observability, incident and change management. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: Not published; ongoing enterprise ownership implied
Budget
Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.
Dates and availability
First observed by Leadiy on 3 Sept 2026, 19:33 UTC. Public since 14 Sept 2026, 01:00 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.
Related market context
In the current 30-day Hiring Pulse, TypeScript appears in 54 of 325 observed opportunities (16.6%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.
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