Principal AI Architect

Teradata

Olympia, WA

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JOB DETAILS

SALARY

$217,300–$271,600 Per Year

SKILLS

Access Control, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Cloud Architecture, Cloud Computing, Compensation and Benefits, Corporate Finance, Cross-Functional, Customer Acquisition, Data Modeling, Data Science, Disability Insurance, Docker, Engineering, Establish Priorities, GCP (Good Clinical Practices), Healthcare, IDE (Integrated Development Environment), Incentive Programs, Life Insurance, Medical Genetics, Microsoft Windows Azure, Military, NCR Teradata, Open Source, Performance Modeling, Problem Solving Skills, Product Management, Product Strategy, Programming Tools, Scalable System Development, Snowflake Schema, Software Engineering, Technical Leadership, Test Plan/Schedule, Time Management, User Interface/Experience (UI/UX)

LOCATION

Olympia, WA

POSTED

30+ days ago

**Our Company** At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. **What You'll Do** As the Principal AI Architect for Teradata AI Studio, you will define the technical architecture of Teradata's end-to-end AI development environment - the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage. You will set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness. You will establish the patterns for how enterprise customers build trustworthy AI workflows - from data preparation through model deployment to agent-driven automation - and ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market. This is a hands-on technical leadership role. Success means shipping architectural decisions that other engineers can build on with confidence, customers adopting AI Studio at scale, and Teradata being recognized as the platform of choice for enterprise AI development. **Who You'll Work With** You will be the senior technical voice for AI Studio within Teradata's AI Apps, Analytics, and UX Engineering organization. You will partner with the VP of Engineering for AI Platform, the Staff AI Engineers building AI Studio components, and the Product Management team to align architecture with product strategy. This role has significant cross-functional reach - you will engage with Teradata's Core Data Platform team on Vantage integration points, with the Security and Governance team on enterprise-grade AI controls, and with key customers in design partner engagements to ensure AI Studio solves real problems at enterprise scale. **What Makes You a Qualified Candidate** + 10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope. + Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments. + Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces. + Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics. **What You'll Bring** + Experience building developer-facing platforms - SDKs, APIs, or IDEs - that external developers adopt and extend. + Familiarity with open-source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable. + Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails. + Experience with cloud-native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker). + Strong cross-functional influence: you can drive alignment across engineering, product, and customer-facing teams without formal authority. + A portfolio of architectural decisions - RFCs, design docs, or open-source work - that demonstrates your approach. + A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things. **Why We Think You'll Love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are. \#LI-SK1 Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs. Pay Rate: 217300.0000 - 271600.0000 - 325900.0000 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are eligible to participate in the Company's benefits programs, which generally include health care, life and disability insurance, retirement savings, and time-off programs. Benefit details vary by country and plan, including eligibility and available options, and will be shared during the hiring process. Additional information is available here: https://www.teradata.com/About-Us/Careers/Benefits Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits

About the Company

Teradata

INDUSTRY

Other/Not Classified

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