Enterprise AI Architect

Job Title – Enterprise AI Architect

Reports to – Director Enterprise Architecture

The Organization
We are the global test and automation specialists, powering next-generation technologies through Teradyne is a global, publicly held (NASDAQ: TER) company that engages in the development and sales of self-automatic test systems used by some of the world’s most innovative companies. The company automates industrial tasks and provides electronic testing equipment that speeds the time-to-market of new electronics. Their clients are companies of all sizes in diverse markets, and in partnership with their customers, they are improving how the world lives, works, and innovates. Founded in 1960 in Boston, Teradyne currently has 6,500 employees across 30 countries, with annual revenue in excess of $3B. More information can be found at www.teradyne.com.

Position Summary
Enterprise AI architects curate and own the AI architecture strategy. They facilitate collaboration among data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and expand the AI efforts.

As an Enterprise AI Architect, you'll play a pivotal role in crafting and steering the adoption and integration of AI, ML, and DevOps practices within intricate business domains. This entails substantial responsibilities, including shaping strategic decisions, setting objectives, and devising approaches for critical initiatives. Collaborating closely with cross-functional teams, including data scientists, data engineers, developers, operations, IT, and business leadership, you'll align AI strategies with overarching enterprise goals and aspirations. Your role encompasses tool and technology selection, ensuring AI system security, governance and ethical considerations, as well as proactive monitoring of AI service performance and feedback loops.

Key Responsibilities & Tasks
● Play a key role in defining the AI architecture and selecting appropriate technologies.
● Align technical implementation with existing and future requirements.
● Identify and prioritize AI use cases that can enhance business value and outcomes.
● Collaborate with data scientists, data engineers and other AI professionals to augment digital 
transformation efforts.
● Establish governance to evaluate, select, approve and monitor new technologies and their use. 
● Evaluate the feasibility and impact of AI use cases and provide guidance on the architectural design and 
implementation.
● Choose the best deployment model (cloud, on-premises or hybrid) and integrate AI tools with existing 
data management and analytics platforms.
● Establish best practices and standards for AI development, testing, deployment and operations.
● Work closely with security and risk leaders to foresee and overturn risks.
● Monitor and measure the performance, quality and feedback of AI services and provide 
recommendations for improvement.

Qualifications
• Bachelor’s degree in computer science, Engineering, or related field, or equivalent work experience
• Minimum of 3+ years of experience in designing, developing and deploying AI solutions
• Strong knowledge of AI concepts, techniques and applications, such as machine learning, deep learning, 
computer vision, natural language processing ad speech recognition
• Minimum of 4+ years of experience with integrating test and security automation in CI/CD solutions
• Experience in AWS, Azure or GCP
• Proficient in programming languages, such as Python, R, Java, C#, etc.
• Experience in working with cloud platforms, such as Azure, AWS, Google Cloud Platform, etc.
• Experience in working with data management and analytics platforms, such as SQL Server, Oracle, 
Hadoop, Spark, etc.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Skills
• Strong leadership capability, executing as appropriate in the areas of responsibility.
• Proven ability to build, manage and foster a team-oriented environment.
• Proven ability to work creatively and analytically in a problem-solving environment.
• Proven experience in machine learning operations, preferably with experience in managing production environments.
• In-depth understanding of cloud build pipelines, specifically Azure DevOps and Github Actions.
• Experience with Infrastructure as Code technologies such as Terraform or Pulumi.
• Strong understanding of software engineering and DevOps principles, including CI/CD.
• Excellent communication (written and oral) and interpersonal skills.
• Excellent thought leadership and management skills.
• Strong sense of ownership, teaming attitude, and the ability work across a distributed organization.

Key Competencies
• Build relationships
• Business enterprise knowledge
• Change advocate
• Results-orientation
• Strategic IT planning
• Team leadership

Key Technologies
• Microsoft Azure
• Azure ML, Weights and Biases, or similar platforms
• Azure Synapse, Azure Fabric, or similar technologies
• Azure DevOps
• Github Actions
• Terraform/Pulumi
• Docker, Kubernetes, Rancher

Disclaimer: Teradyne has created this job description to indicate the general nature and level of work that Teradyne expects the Director of the IT Business Office to perform. This job description is not a comprehensive inventory of all duties, responsibilities and qualifications required, and should not be interpreted as such.