AI Architect withTrueFoundry || H1B/H4EAD/TN/L2/GC-EAD || Santa Clara, CA (Onsite) || Contract

[Md Zahid]

Job Title: AI Architect withTrueFoundry

Location: Santa Clara, CA (Onsite)

Type: Contract

 

Job Summary

We are seeking an experienced TrueFoundry Architect to design, implement, and govern enterprise-scale AI/ML platforms. The ideal candidate will have deep expertise in TrueFoundry, Kubernetes, MLOps, LLMOps, cloud-native architectures, and Generative AI solutions. The architect will work closely with data scientists, ML engineers, platform teams, and business stakeholders to build scalable and secure AI platforms supporting Applied Materials' AI initiatives.

Key Responsibilities

• Design and implement enterprise AI/ML platforms using TrueFoundry.
• Architect scalable model deployment and serving infrastructure on Kubernetes.
• Build and maintain MLOps and LLMOps pipelines for model training, deployment, monitoring, and governance.
• Integrate TrueFoundry with cloud platforms such as Azure, AWS, or GCP.
• Design CI/CD pipelines for AI applications and machine learning workflows.
• Implement model observability, monitoring, logging, and performance optimization.
• Develop AI platform security, governance, and compliance standards.
• Enable deployment of GenAI and Agentic AI applications using LLM frameworks.
• Collaborate with Data Science, DevOps, Security, and Infrastructure teams.
• Provide architecture guidance and technical leadership to engineering teams.
• Conduct architecture reviews, PoCs, and platform modernization initiatives.

Required Skills

• 10+ years of IT experience with 3+ years in AI/ML platform architecture.
• Strong experience with TrueFoundry platform.
• Expertise in Kubernetes, Docker, Helm, and container orchestration.
• Experience with MLOps tools and frameworks.
• Strong Python programming skills.
• Experience with Azure, AWS, or GCP cloud services.
• Knowledge of CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Experience deploying and managing LLM-based applications.
• Understanding of Vector Databases, RAG, LangChain, LangGraph, or similar frameworks.
• Strong understanding of AI governance, security, and compliance.

Preferred Skills

• Experience with Agentic AI architectures.
• Experience with MLFlow, Kubeflow, Ray, or KServe.
• Knowledge of NVIDIA GPU infrastructure and model optimization.
• Semiconductor or manufacturing domain experience.
• Experience supporting large enterprise AI transformation programs.

Typical Tech Stack

• TrueFoundry
• Kubernetes (AKS/EKS/GKE)
• Docker
• Python
• MLFlow
• LangChain / LangGraph
• OpenAI / Azure OpenAI
• Vector DBs (Pinecone, Weaviate, Chroma)
• Terraform
• Azure DevOps / GitHub Actions 

Thanks & Regards:-

Md Zahid
Technical Recruiter

Nityo Infotech Corp.
📧 Email: md.z...@nityo.com
🌐 Website: www.nityo.com
🔗 LinkedIn: linkedin.com/in/md-zahid-3241a6290