AI Architect

Job not on LinkedIn

🕒 5 days ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $90 - $92 / hour

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Global Channel Management, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🤝 B2B

☁️ SaaS

Recruitment • B2B • SaaS

Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.

📋 Description

• Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability • Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling • Support development teams on model selection, training pipelines, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies • Mentor engineers, analysts, and product teams on AI best practices.

🎯 Requirements

• 10+ years' experience enterprise-wide AI programs or platform buildouts • Strong understanding of data governance, privacy, security, and model risk management • Prior experience with large-scale transformation programs • Bachelor's degree in Computer Science, Engineering, or a related technical field • 5+ years of experience in application development, engineering, or solution delivery roles • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems) • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design) • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores • Strong hands-on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools • Background in RAG systems, model fine-tuning, embeddings, vector storage, and retrieval optimization.