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AI Architect — Enterprise Agentic AI Platform

Hiring evidence involving Python, AWS, RAG. First observed 10 Sept 2026; the response opens on justjoin.it.

Budget
Not provided by source
Work format
Hiring
Observed
10 Sept 202615 days old
Response destination
justjoin.it

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
7N
Source reference
OPP-20260910-1110
Location evidence
Warsaw / CET
Employment type
contractor
Required skills
AWS Bedrock AgentCore; Langflow; n8n; Python; APIs; multi-agent systems; RAG; memory; HITL; security; governance; observability; evaluation
Expected duration
Full-time; duration not published

What this signal says

The observed opportunity titled “AI Architect — Enterprise Agentic AI Platform” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.

How the technology was normalized

The controlled technology reading for this record is Python, AWS, RAG, n8n, Monitoring and alerting. That label is derived from explicit terms in the role, primary technology and stack fields; it is not inferred from the buyer’s identity or from private contact context. Normalization folds common spelling and naming variants into one catalog so this page can be compared with other records. A combination tag appears only when every required part of that combination is detected. The result is a search aid, not a guarantee that every named tool is equally central to the delivery scope.

Commercial format

The current format label is Hiring, meaning an employment-oriented search for an individual contributor or team member. Leadiy uses this shared taxonomy so technology hubs can show whether demand arrives as delivery work, capacity, procurement or employment. Classification does not resolve contract law, worker status or platform terms, and it should not be read as an endorsement of eligibility. A timing signal is present as “2026-09-25,” but the source should be checked before treating it as a live deadline.

Reading the budget

The source did not provide a budget for this opportunity. “Budget not provided by source” describes that missing commercial field; it does not mean the opportunity page is unpublished or unavailable. Leadiy does not estimate a range from similar records because fixed projects, hourly work, contracts and salaries are not safely interchangeable. Confirm compensation, currency, rate unit, scope and payment terms at the response destination before deciding whether to proceed.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, Python appears in 420 of 1392 observed opportunities (30.2%). Counts are multi-label, so one opportunity may contribute to several technology buckets. The comparison is dated through 2026-09-26 and describes Leadiy’s observed sample, not the whole software market. It helps answer whether this record sits beside other visible signals, but it does not prove future demand, market share or buyer intent. The individual page and the aggregate Pulse use the same public-safe vacancy and project scope, while direct leads and personal data remain excluded from both.

Observation and publication timing

Timing here is explicit: observed by Leadiy on 10 Sept 2026, 20:30 UTC, 15 days old at the current request, then admitted to the public catalog after 31.39 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.

What looks similar

The related-record layer searches already published pages for overlap in the controlled technology catalog. It does not inspect private contacts and it does not use a buyer name as a recommendation signal. The closest current titles are: "Senior AI Platform Engineer", "CTO / Solution AI Architect for new AI product", "Machine Learning Engineer — production RAG and multi-agent systems" Treat them as adjacent demand signals, not substitutes for reading the original post. Their engagement format, budget unit, eligibility and delivery expectations may differ even when a framework or platform matches. This page keeps that uncertainty visible rather than manufacturing a single “typical” opportunity from unlike records.

Where the response goes

This page’s action route is explicit: it opens Just Join IT on justjoin.it. Leadiy provides context and provenance, not an application proxy. A click can therefore lead to a third-party login or proposal workflow governed by that service’s own privacy, eligibility and payment rules. The public catalog never replaces those instructions and never publishes a hidden email address as an alternate route. Review the destination hostname, confirm that the opportunity is still active, and respond only through a path you trust.

Public evidence versus earlier access

The product promise stays deliberately plain: the same opportunities, one day earlier. Public visitors can inspect this delayed record without an account, but the private product exists for earlier matching and action. Neither route changes the buyer’s requirements, the third-party application flow or the probability of winning work. The value difference is lead time and workflow. Keeping that claim next to a useful, self-contained public page avoids a teaser model in which essential provenance or the true destination is withheld.

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