Senior Sourcer (AI / ML / Infra) - Contract

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SourcerRecruitment & Talent Acquisition

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Quick Summary

Key Responsibilities

Map the talent landscape across competing hyperscalers, chipmakers, and specialized AI labs. Identify "pockets of talent" within hardware-accelerated compute and distributed systems.

Requirements Summary

Must have prior experience sourcing for AI Infrastructure, Data Centers, or Large-Scale Cloud Systems. You should understand the difference between Model Training vs.

Technical Tools

SourcerRecruitment & Talent Acquisition

Senior Technical Sourcer – AI Infrastructure

(Remote, 3–6 Month Contract)

Location: Remote (US-Based)

Engagement Type: Contract (W2 or 1099)

Compensation: $50–$90/hr

Duration: 6 months (Potential for conversion)

Start Date: ASAP

About the Role

Blaze Talent is seeking an elite Technical Sourcer to support a high-growth AI Hyperscaler client. This isn’t a generalist role; you will be the primary engine driving top-of-funnel talent for the teams building the massive-scale compute, networking, and power systems that make modern AI possible. You will be embedded within a world-class engineering organization, hunting for the 1% of talent capable of building and scaling AI infrastructure at a global level.

What You’ll Do

Market Mapping & Intelligence: Map the talent landscape across competing hyperscalers, chipmakers, and specialized AI labs. Identify "pockets of talent" within hardware-accelerated compute and distributed systems.

Deep-Technical Sourcing: Build robust pipelines for highly specialized roles including GPU/TPU Kernel Engineers, Distributed Systems Architects, InfiniBand/RDMA Networking Specialists, and AI Platform Engineers.

Strategic Outreach: Craft highly personalized, technical outreach that resonates with senior engineers who are inundated with recruiter spam. You must speak the language of AI infra.

Calibration & Partnership: Work daily with Engineering Directors and VPs to calibrate on "the bar." You will act as a market consultant, providing data on talent density and competitive compensation trends.

Pipeline Optimization: Move beyond LinkedIn. Leverage GitHub, ArXiv (research papers), Slack communities, and open-source contributions to find "stealth" talent.

High-Velocity Delivery: Maintain a high volume of qualified "first-screens" while ensuring the candidate experience is white-glove from the very first touchpoint.

Required Qualifications

AI Infrastructure Expertise: Must have prior experience sourcing for AI Infrastructure, Data Centers, or Large-Scale Cloud Systems. You should understand the difference between Model Training vs. Inference and the role of high-bandwidth memory (HBM) and interconnects.

5+ Years Sourcing Experience: A proven track record of finding "purple squirrels" in the deep-tech space, preferably with experience at a major Cloud Service Provider (CSP) or a high-growth AI startup.

Technical Fluency: Ability to screen candidates for proficiency in low-level programming (C++/CUDA/Rust), distributed frameworks (PyTorch/Ray), and hardware/software co-design.

Advanced Tooling: Mastery of LinkedIn Recruiter, GitHub, and technical sourcing extensions. Experience with Ashby (ATS) is a significant plus.

Persistence & Creativity: A "hunter" mentality. You enjoy the challenge of finding talent that isn't looking to be found.

Availability: Must be able to operate during US business hours (PST preferred).

Why This Role?

This is a chance to work at the absolute center of the AI boom. Our client is an industry leader providing the backbone for the next generation of LLMs. If you are a sourcer who loves the "deep tech" side of the house and wants to work on a high-stakes, high-impact project, this is for you.