Teradyne is looking to shape its AI landscape by setting and executing an enterprise AI strategy, promoting the adoption and integration of AI and GenAI technologies, and ensuring AI is embedded in business processes and technical platforms to maximize AI's impact and drive measurable value and market advantage.
Requirements
- Expertise with Snowflake (data engineering, LLM accessibility, cross-cloud data sharing), Databricks, Microsoft AI technologies (Copilot, Fabric, Power BI, M365), and multi-cloud AI deployments (Azure, AWS, GCP)
- Minimum of 8 years of hands-on experience with cloud AI tools (AWS, Azure, GCP) and scalable data platforms
- Proven ability to onboard and guide the adoption of 3rd party LLM tools (Enterprise ChatGPT, Google Agentspace
- Strong knowledge of MLOps, DataOps, and/or enterprise data governance
- Deep understanding of new and emerging technology trends, and the practical application of existing, new, and emerging technologies to new and evolving business and operating models
- Deep understanding of product management, agile values, and development methodologies
- An analytic mindset that prioritizes enterprise-wide needs and remains unbiased toward any specific technology or vendor choice, with outcomes based on data and Proof-of-Concept (POC) results
Responsibilities
- Architect, implement, and oversee scalable, secure, and maintainable AI solutions, ensuring seamless integration with enterprise platforms (SAP Successfactors, Oracle, ServiceNow, Salesforce, Siemens Teamcenter, etc.)
- Advance proof-of-concept projects and pilots, working hands-on with teams to validate and scale GenAI and Agentic solutions
- Facilitate the onboarding and adoption of 3rd party LLM tools such as Enterprise ChatGPT, Google Agentspace, Cursor, etc, integrating them securely and efficiently into the enterprise
- Set architecture requirements and guide the design for AI-ready data pipelines using Snowflake, Informatica, and Microsoft Fabric, ensuring high-quality, governed, and accessible data
- Architect and design for multi-cloud AI deployments across Azure, AWS, and GCP, leveraging cloud-native tools and best practices
- Provide a framework to continuously monitor and optimize AI models and solutions for performance, accuracy, and business impact
- Collaborate with the CIO, CISO, Head of Engineering, and Chief AI Officer to facilitate a robust AI governance frameworks, policies, and best practices to ensure ethical, secure, and compliant AI development and deployment
Other
- Guide the formulation and evolution of Teradyne’s enterprise AI strategy, aligning with business and technology objectives to drive measurable value and market advantage
- Identify, prioritize, and evangelize AI opportunities across the company, including automation, forecasting, supply chain, field service, finance, and more
- Stay ahead of industry trends, integrating emerging AI technologies and best practices into Teradyne’s roadmap
- Excellent communication skills, able to influence executives and mentor technical teams
- Ability to build trust and respect as a person who can influence and persuade business and IT department heads and development teams
