Our Company
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
Teradata is seeking an exceptional Principle Data & AI Architect to join our newly formed Data and AI organization. This is a transformational role that will shape the future of AI and machine learning at enterprise scale, both within Teradata and for our customers globally.
As a Principal Data Science & AI Architect, you will be responsible for designing and implementing AI, data science, and machine learning solutions at enterprise scale. This role uniquely leverages Teradata's 'customer zero' approach, where you will innovate using Teradata's own data and AI infrastructure, enabling direct customer engagement and positioning of Teradata's products and services based on real-world implementation experience.
This position offers a rare opportunity to drive innovation from within, validate solutions in production environments, and directly influence how enterprises worldwide adopt and scale AI technologies.
Key Responsibilities
AI & Data Science Architecture
Design and architect enterprise-scale AI and machine learning solutions that demonstrate best practices for data science model development, deployment, and governance
Lead the evolution of Teradata's AI platform capabilities, including model lifecycle management, MLOps frameworks, and AI governance structures
Define architectural patterns and reference implementations for AI workloads across cloud, hybrid, and on-premises environments
Establish technical standards for model development, testing, validation, and deployment that can be replicated across customer implementations
Customer Zero Innovation
Leverage Teradata as 'customer zero' to develop, test, and validate AI solutions using our own enterprise data and infrastructure
Create compelling proof points and case studies from internal implementations that demonstrate the value and scalability of Teradata's AI capabilities
Transform internal AI initiatives into reusable patterns, frameworks, and best practices that can be packaged for customer adoption
Identify product gaps and enhancement opportunities through hands-on implementation experience
Enterprise AI Enablement
Develop comprehensive AI enablement strategies that accelerate enterprise adoption of machine learning and advanced analytics
Design and implement scalable MLOps pipelines that support the full model lifecycle from experimentation to production deployment
Build frameworks for responsible AI that ensure model explainability, fairness, bias detection, and compliance with regulatory requirements
Create architectural blueprints for integrating generative AI, large language models, and traditional ML within enterprise data ecosystems
Customer Engagement & Positioning
Engage directly with strategic customers to share insights, best practices, and lessons learned from Teradata's internal AI implementations
Position Teradata's AI and analytics platforms through technical workshops, executive briefings, and industry events
Collaborate with sales and pre-sales teams to translate technical capabilities into business value propositions
Contribute to thought leadership through whitepapers, technical blogs, conference presentations, and industry publications
What Makes This Role Unique
The Principle Data Science & AI Architect role at Teradata offers a distinctive opportunity that sets it apart from traditional data science leadership positions:
Customer Zero Advantage: You'll innovate using Teradata's own data and infrastructure, allowing you to build, test, and validate solutions in a real enterprise environment before taking them to market. This creates authentic proof points and eliminates the typical gap between theory and practice.
Direct Customer Impact: Your work will directly shape how enterprises worldwide implement AI at scale. You'll engage with customers from a position of credibility, sharing firsthand experience rather than theoretical frameworks.
Product Influence: Your implementation experience will directly influence Teradata's product roadmap. You'll work hand-in-hand with engineering and product teams to ensure our platforms meet real-world enterprise needs.
Thought Leadership Platform: Teradata's brand and market position provide a global platform for your expertise. You'll have opportunities to speak at major industry events, contribute to influential publications, and shape the broader conversation around enterprise AI.
Scale and Complexity: Work on challenges that few organizations face-processing petabytes of data, supporting thousands of concurrent users, ensuring mission-critical reliability, and enabling AI at true enterprise scale.
Who You'll Work With
Partner with Product Management to influence roadmap priorities based on real-world implementation experience
Collaborate with Engineering teams to provide feedback on platform capabilities and help shape future AI features
Work with Professional Services and Customer Success teams to codify best practices into repeatable methodologies
Mentor data scientists, ML engineers, and architects across the organization on AI best practices
What Makes You a Qualified Candidate
S. or higher in Computer Science, Data Science, Machine Learning, Statistics, or related technical field
10+ years of experience in data science, machine learning, and AI with at least 5 years in architecture or technical leadership roles
Proven track record of designing and implementing enterprise-scale ML/AI solutions in production environments
Deep expertise in machine learning frameworks and MLOps platforms
Strong foundation in distributed computing, big data technologies, and cloud platforms (AWS, Azure, GCP)
Experience with modern data architectures including data lakes, lakehouses, and cloud data warehouses
Demonstrated ability to translate complex technical concepts into business value for executive audiences
Excellent communication skills with experience presenting to technical and business stakeholders
Experience working in customer-facing roles such as consulting, solutions architecture, or technical evangelism
Technical Competencies
Machine Learning: Supervised and unsupervised learning, deep learning, reinforcement learning, ensemble methods, feature engineering
AI Technologies: Natural language processing, computer vision, generative AI, LLMs, retrieval-augmented generation
Programming: Python, R, SQL, Scala, Java; proficiency with notebooks
MLOps & DevOps: CI/CD pipelines, containerization (Docker, Kubernetes), model versioning, experiment tracking, monitoring
Model Governance: Model risk management, bias detection, explainability (SHAP, LIME), compliance frameworks
What You Will Bring
Prior experience with Teradata or other enterprise analytical platforms
Hands-on experience with generative AI, large language models, and foundation model integration
Knowledge of responsible AI practices, model governance, and regulatory compliance (GDPR, CCPA, AI Act)
Experience building and scaling data science teams or centers of excellence
Publications, patents, or open-source contributions in the AI/ML space
Industry recognition through speaking engagements, thought leadership, or technical community involvement
Domain expertise in specific industries such as financial services, healthcare, retail, or telecommunications
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-OC1
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.
Pay Rate: 199500.0000 - 249400.0000 - 299300.0000 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 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
