C2C AI/GenAI Consultant Staffing Requirement for Enterprise PLM Hypercare
Overview
Requirement
Seeking qualified AI/GenAI consultants and staffing/C2C partners for an AI Engineer–PLM contract requirement in Sunnyvale, California.
Why this may be relevant
The post is a current, explicit external staffing requirement: it seeks AI/GenAI consultants through C2C, staffing-vendor, and contract-partner channels for a Sunnyvale enterprise PLM/Hypercare project. The author appears to be an intermediary representing a staffing organization and provides a direct submission email.
Opportunity details
- Category
- Recruitment / Staffing
- Subcategory
- Contract staffing and C2C vendor partnership
- Country
- United States
- Engagement
- Contract / C2C staffing and consultant placement
- Relevance
- Very Strong
- Timeline
- Active/current requirement; post published 25 minutes before capture
- Freshness
- 4 days ago
Company Intelligence
Company type
Consultancy
Employees
Not confirmed
Verification
Partially verified
Buyer profile
Established
- Industry
- IT consulting, digital transformation, AI/data services, and staff augmentation
Company summary
Sira Consulting Inc. is an operating IT consulting and digital transformation business established in 2012, according to its official website. Its services include digital transformation, data engineering, analytics, AI solutions, managed services, and staff augmentation. The opportunity is represented by the company, identified as BUH – US Staffing, and involves sourcing AI/GenAI consultants or C2C staffing partners for an enterprise PLM hypercare requirement. The public evidence supports Sira as a genuine consulting and staffing-services provider, but does not establish its employee count, headquarters, or whether it is the end client for the underlying PLM requirement.
Commercial context
Sira appears to be a consulting/staff augmentation intermediary or staffing supplier rather than the underlying end client. The enterprise customer, contracting entity, and ultimate decision-maker for the PLM requirement are not identified in the supplied evidence. Employee size and headquarters could not be verified.
Relevant areas
Source context
Source: Public professional network
Date: 4 days ago
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