Ai Platform Architect (Teradyne, India)

h3AI Platform Architect (Teradyne, India) /h3 pAzienda : Teradyne, Inc. Tipo Lavoro : Full Time Italy /p h3Descrizione Lavoro - AI Platform Architect (Teradyne, India) /h3 pbJob Title: /b AI Platform Architect /p pbReports to: /b Enterprise AI Architect /p pbOur Purpose /b /p pTERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are challengedto innovate and learn something new every day. /p pWe cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. /p pbWhat You Will Do /b /p pAs an AI Platform Architect I at Teradyne, you will help shape how AI is architected, integrated, and governed across the enterprise, spanning AI agent and MCP infrastructure, platform and connector integration, AI governance and risk processes, and enterprise AI literacy. Reporting to the Enterprise AI Architect, you will translate our enterprise AI strategy into concrete architecture patterns, deployment standards, and governance practices, primarily across Azure Foundry, Microsoft Copilot Studio and Copilot Cowork, Snowflake Cortex AI, and Claude. /p pThis is a hands-on technical, architecture-focused role. You will define reusable patterns for deploying AI agents, standardize MCP server design and CI/CD pipelines, AI platform configuration, and set up authentication and authorization middleware for AI agents and services. You will also contribute to the enterprise AI gateway and connector strategy, support AI governance and risk-review processes, and help drive enterprise AI literacy, ensuring AI initiatives scale securely, consistently, and responsibly. /p h3Key Responsibilities - AI Platform Environment Enablement /h3 ul liManage platform settings, integrations, and resource allocations to ensure optimal performance and cost-efficiency for development teams /li liSet up and maintain authentication/authorization middleware for AI agents and services, partnering with the team that owns enterprise identity/access management /li liStandardize Model Context Protocol (MCP) server design, deployment templates, and infrastructure-as-code patterns /li liDesign and own CI/CD pipelines for AI agent, MCP, and/or AI model deployments (GitHub Actions or Azure DevOps) /li /ul pbBusiness Outcome: /b Provide well-configured, secure, and efficient AI platform environments that enable teams to build and deploy AI solutions reliably. /p h3AI Solution Development /h3 ul liDefine architecture patterns and standards for deploying AI agents across the enterprise, primarily on Azure Foundry, Microsoft Copilot / Copilot Studio / Copilot Cowork, Snowflake Cortex AI, and Claude /li liEstablish and document reusable playbooks and modular workflows for agentic AI development, ensuring rapid adoption and consistency across teams leveraging both no-code and programmatic development environments /li liArchitect Retrieval-Augmented Generation (RAG) and agent infrastructure on cloud AI development platforms /li liContribute to the design and maintenance of the enterprise AI gateway, including the MCP registry, LLM traffic routing, observability, rate limiting, data redaction, and access control /li liContribute to the enterprise connector/integration strategy connecting AI tools to core business systems /li liLead architecture reviews for AI agent and enterprise copilot tooling deployments /li /ul pbBusiness Outcome: /b Deliver well-architected, reusable AI solutions that accelerate adoption and demonstrate the value of enterprise AI investment. /p h3AI Governance, Security, and Observability /h3 ul liContribute to AI governance and risk-review processes, including evaluating new LLMs before adoption and reviewing AI tool and connector requests /li liPartner with security, legal, and compliance teams to help shape AI risk frameworks, policy, and data governance standards /li liContribute to enterprise AI literacy/training tracking and reporting /li /ul pbBusiness Outcome: /b Strengthen AI governance and risk posture while building enterprise-wide AI literacy and capability. /p h3Required Qualifications /h3 ul libExperience: /b 2-5 years of experience in AI/ML or platform engineering, with hands-on experience deploying AI systems in an enterprise environment /li libEducation: /b Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field /li libTechnical Skills: /b ul liRequired hands-on experience with Microsoft Azure AI Foundry /li liAdditional experience with Microsoft Copilot Studio, Copilot Cowork, Snowflake Cortex AI, and Claude is ideal /li liProficiency in Python and SQL /li liHands-on experience building and deploying AI Agents and MCP Servers /li liExperience designing CI/CD pipelines using GitHub Actions or Azure DevOps /li liExperience with Infrastructure as Code /li liSome hands-on experience setting up authentication/authorization /li liExperience building custom RAG pipelines /li liFamiliarity with AI governance/risk frameworks /li liUnderstanding of API/connector integration patterns for enterprise systems /li /ul /li libSoft Skills: /b ul liStrong collaboration and communication skills, with the ability to work across technical and business teams /li liAnalytical mindset with a focus on delivering measurable business outcomes /li liComfortable contributing to governance and security review processes /li /ul /li /ul h3Why Join Teradyne? /h3 pAt Teradyne, we are committed to innovation, operational excellence, and empowering our teams to deliver cutting-edge AI solutions that drive business value. As an AI Platform Architect I, you will have the opportunity to work on transformative projects, collaborate with talented professionals, and shape the future of AI at Teradyne. Join us and be part of a team that is redefining what's possible with AI. /p #J-18808-Ljbffr