AI Platform Architect

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🔙 Backend Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Teradyne

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1960

🏭 Manufacturing

🔧 Hardware

🤝 B2B

Manufacturing • Hardware • B2B

Teradyne is a provider of test and manufacturing automation solutions. Its companies deliver manufacturing automation and automated test equipment across industries and applications, helping customers achieve higher production volumes, improved quality and greater ROI. Teradyne has expanded through acquisitions of specialists such as LitePoint (wireless test), Universal Robots (collaborative robots) and MiR (mobile robots), giving it a portfolio that spans semiconductor and electronics test, industrial robotics, and factory automation.

📋 Description

• Manage platform settings, integrations, and resource allocations for development teams • Set up and maintain authentication/authorization middleware for AI agents and services • Standardize Model Context Protocol (MCP) server design, deployment templates, and infrastructure-as-code patterns • Design and own CI/CD pipelines for AI agent, MCP, and/or AI model deployments using GitHub Actions or Azure DevOps • Define architecture patterns and standards for deploying AI agents across Azure Foundry, Microsoft Copilot, Copilot Studio, Copilot Cowork, Snowflake Cortex AI, and Claude • Establish and document reusable playbooks and modular workflows for agentic AI development • Architect Retrieval-Augmented Generation (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 the enterprise connector/integration strategy connecting AI tools to core business systems • Lead architecture reviews for AI agent and enterprise copilot tooling deployments • Contribute to AI governance and risk-review processes, including evaluating new LLMs and reviewing AI tool and connector requests • Partner with security, legal, and compliance teams on AI risk frameworks, policy, and data governance standards • Contribute to enterprise AI literacy/training tracking and reporting

🎯 Requirements

• 2–5 years of experience in AI/ML or platform engineering, with hands-on experience deploying AI systems in an enterprise environment • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field • Required hands-on experience with Microsoft Azure AI Foundry • Additional experience with Microsoft Copilot Studio, Copilot Cowork, Snowflake Cortex AI, and Claude is ideal • Proficiency in Python and SQL • Hands-on experience building and deploying AI Agents and MCP Servers • Experience designing CI/CD pipelines using GitHub Actions or Azure DevOps • Experience with Infrastructure as Code • Some hands-on experience setting up authentication/authorization • Experience building custom RAG pipelines • Familiarity with AI governance/risk frameworks • Understanding of API/connector integration patterns for enterprise systems • Strong collaboration and communication skills, with the ability to work across technical and business teams • Analytical mindset with a focus on delivering measurable business outcomes • Comfortable contributing to governance and security review processes