Principal AI Architect (AI)

TL;DR

Principal AI Architect (AI): Leads the design and implementation of scalable, production-grade AI solutions, focusing on defining ML/AI reference architectures, prototyping new agentic AI solutions, and implementing core AI services in production. Focus on leveraging Generative AI, LLMOps, MLOps, DataOps, and ensuring compliance and ethical AI adoption.

Location: Hybrid role based in Santa Clara, California, United States, with additional office locations in Milpitas, Mountain View, East Foothills, Los Altos, and Stanford.

Salary: $240,375 – $400,625

Company

hirify.global empowers nearly 80% of the Forbes Global 100 to accelerate business value through industry-leading solutions that connect people, systems, and data.

What you will do

• Define and build Machine Learning and AI reference architectures, including design patterns for Generative AI, LLMOps, MLOps, DataOps, RAG systems, and agentic workflows.
• Prototype and scale new agentic AI projects using the latest frameworks and tools.
• Design, implement, and maintain core platform components and AI services in production environments with hands-on coding.
• Partner with product management, data science, and engineering teams, providing senior technical guidance and performing deep code reviews.
• Act as a technical advisor and mentor to engineers and architects, publishing reference architectures and best practices.
• Collaborate with security, legal, and compliance teams to embed responsible AI principles, data privacy, and explainability.

Requirements

• 10+ years of experience in software development and enterprise architecture, with strong experience building and operating production-grade AI/ML systems.
• Strong background in delivering Generative AI solutions spanning integration of foundation models (LLMs) and RAG systems.
• Experience in building Agentic AI solutions inclusive of MCP and A2A architectures.
• Proficient in developing and testing Agentic AI solutions on a practical and enterprise scale.
• Excellent understanding of data management, LLMOps, MLOps practices, and cloud computing platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
• Strong programming skills in languages such as Python, Java, or C++, and familiarity with AI frameworks (TensorFlow, PyTorch).

Culture & Benefits

• A culture built around its people with over 6000 team members globally.
• Committed to equal opportunity employment.
• Offers a variable compensation plan and country-specific benefits.
• Encourages applications from diverse backgrounds, even if not all qualifications are met.