AI Architect

TechTalent Solutions LLC is seeking a mid‑level AI Architect for a remote contract‑to‑hire role supporting North American Partners in Anesthesia (NAPA). This 6‑month position offers a pay rate of $80‑85 per hour (W‑2) with a total annualized salary of $171,337.52.

Key Responsibilities

• Collaborate directly with AI leadership to transition NAPA from a buy‑only to a buy‑and‑build AI model.
• Design, develop, and deploy AI solutions that align with NAPA’s in‑house strategy.
• Lead technical implementation, including model selection, data pipeline creation, and integration with existing systems.
• Provide hands‑on guidance to engineering teams, ensuring best practices in AI/ML development.
• Participate in a two‑round video interview process and contribute to continuous improvement of AI governance.

Required Qualifications

• Mid‑level experience (3‑5 years) as an AI/ML architect or similar role.
• Proficiency in Python, TensorFlow, PyTorch, or comparable frameworks.
• Strong understanding of machine‑learning pipelines, model deployment, and cloud platforms (AWS, Azure, GCP).
• Excellent problem‑solving skills and ability to work independently in a fully remote environment.
• Effective communication skills for cross‑functional collaboration.

Preferred Experience

• Background in healthcare or anesthesia‑related AI applications.
• Experience with MLOps tools such as MLflow, Kubeflow, or Docker/Kubernetes.
• Familiarity with data governance, security, and compliance standards.

Contract Details

This is a 6‑month contract‑to‑hire position, fully remote, with a pay rate of $80‑85 per hour (W‑2). The role may transition to a permanent position based on performance and business needs.

Frequently Asked Questions

What is the employment type for this AI Architect role?

It is a 6‑month contract‑to‑hire position, fully remote, paid on a W‑2 basis.

What salary can I expect?

The pay rate is $80‑85 per hour, which annualizes to approximately $171,337.52.

Do I need healthcare experience for this job?

Healthcare experience is preferred but not required; the focus is on AI architecture and implementation.