AI Platform Architect

Diligente Technologies; Dallas (TX); In loco; USD 160.000 - 190.000; Tempo pieno

Descrizione del lavoro

Diligente Technologies in Dallas, TX, seeks a Senior AI Platform Architect to design and scale the core AI infrastructure and MLOps capabilities that enable enterprise AI product development at scale.

You will lead the architecture and evolution of cloud-based MLOps, collaborate with data science, engineering, and security teams to operationalize AI models efficiently and responsibly, and drive improvements in performance and developer experience.

Competenze

• Master’s degree or Ph.D. in Computer Science or a related field.
• Expertise in cloud architecture and MLOps.
• Experience with AI frameworks such as Vertex AI, LangChain, and Agentspace.
• Strong programming and system design background.

Mansioni

• Architect and maintain end-to-end AI infrastructure and MLOps pipelines.
• Partner with Engineering and IT on secure, scalable deployment.
• Evaluate new tools and cloud services to drive innovation.
• Provide templates/SDKs, standardizing environments and deployment pipelines for AI/LLM applications.
• Enforce identity and access controls to sensitive data pathways.
• Manage tooling across brands, define capacity and cost controls for inference and storage.
• Reports to Head of AI, partners with AI Engineering Lead.
• Supports AI reshape pods concurrently.

Conoscenze

Cloud architecture

MLOps

Vertex AI

LangChain

Agentspace

Programming

System design

Formazione

Master’s or Ph.D. in Computer Science or related field

Descrizione del lavoro

Design and scale the core AI platform and infrastructure, ensuring reliability, performance, and seamless integration across the enterprise. Lead the architecture and evolution of cloud-based MLOps capabilities that enable AI product development at scale. Collaborate with data science, engineering, and security teams to operationalize AI models efficiently and responsibly. Drive continuous improvement in platform performance, cost optimization, and developer experience.

Position Responsibilities:

• Architect and maintain end-to-end AI infrastructure and MLOps pipelines
• Partner with Engineering and IT on secure, scalable deployment
• Evaluate new tools and cloud services to drive innovation
• Provide templates/SDKs, standardizing environments and deployment pipelines for AI/LLM applications
• Enforce identity and access controls to sensitive data pathways
• Manage tooling across brands, define capacity and cost controls for inference and storage
• Reports to Head of AI, partners with AI Engineering Lead
• Supports AI reshape pods concurrently

Requirements:

• Master’s or Ph.D. in Computer Science or related field
• Expertise in cloud architecture and MLOps
• Skilled in AI frameworks (e.g., Vertex AI, LangChain, Agentspace)
• Strong programming and system design background