AI Platform Architect I

New

TeradyneEnterprise AI

IndiaFull-TimeMiddle

Salary not disclosed

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Job Details

Have 2–5 years of experience in AI/ML or platform engineering, including hands-on enterprise AI deployment.
Hold a bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
Have hands-on experience with Microsoft Azure AI Foundry.
Be proficient in Python and SQL.
Have hands-on experience building and deploying AI agents and MCP servers.
Have experience designing CI/CD pipelines using GitHub Actions or Azure DevOps.
Have experience with infrastructure as code.
Have some hands-on experience setting up authentication and authorization.
Have experience building custom RAG pipelines.
Be familiar with AI governance and risk frameworks.
Understand API and connector integration patterns for enterprise systems.
Additional experience with Microsoft Copilot Studio, Copilot Cowork, Snowflake Cortex AI, and Claude is ideal.

Manage AI platform settings, integrations, and resource allocations.
Set up and maintain authentication and authorization middleware for AI agents and services.
Standardize MCP server design, deployment templates, and infrastructure-as-code patterns.
Design and own CI/CD pipelines for AI agent, MCP, and AI model deployments.
Define reusable architecture patterns for enterprise AI agents across Azure Foundry, Microsoft Copilot, Snowflake Cortex AI, and Claude.
Architect RAG and agent infrastructure on cloud AI development platforms.
Contribute to the enterprise AI gateway, including MCP registry, LLM traffic routing, observability, rate limiting, data redaction, and access control.
Contribute to enterprise connector strategy and lead architecture reviews for AI agent and copilot deployments.
Support AI governance and risk reviews, including evaluating LLMs and reviewing AI tool and connector requests.

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