AI Technologist

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 an AI Technologist, you will serve as both a thought leader and a hands-on technical expert for our Healthcare, Life Sciences, and Public Sector clients.  You will design, develop, and deliver AI/ML demonstrations, prototypes, and proof-of-concepts that showcase the full power of Teradata’s AI/ML capabilities.   This role combines strategy with execution - you must be equally comfortable presenting to C-suite executives and writing production-quality code.

Key Responsibilities

Client Engagement & Discovery

• Lead discovery sessions with Healthcare, Life Sciences, and Public Sector clients to understand business objectives, AI/ML use cases, and technical environments.
• Translate complex AI/ML concepts into clear business outcomes for non-technical audiences.
• Rapidly assess technical requirements and data readiness.
• Build trusted advisor relationships through credible thought leadership.
• Work independently or as part of a multi-disciplinary team.

Hands-On Development & Delivery

• Design, prototype, and deliver AI/ML technology demonstrators aligned with client needs.
• Apply advanced analytics and ML techniques across predictive and prescriptive use cases.
• Select, deploy, and fine-tune AI models from Hugging Face and other repositories.
• Design and implement vector databases and retrieval-augmented solutions.
• Develop agentic AI workflows including multi-step reasoning and autonomous behaviors.
• Write clean, documented, production-ready SQL and Python code.
• Use GitHub and DevOps processes for version control and collaboration.

Enablement & Knowledge Sharing

• Create reusable code templates, frameworks, and accelerators.
• Document best practices, architectures, and implementation guides.
• Support pre-sales activities with technical expertise.
• Share learnings and assets across Teradata’s global AI/ML community.
• Demonstrate internal/external thought leadership by developing AI/ML content.

Who You’ll Work With

This is a forward-deployed engineering role, working directly with customers in short sprints to shape requirements and build compelling AI/ML solutions under time pressure, that will require frequent travel to customer sites.  

What Makes You a Qualified Candidate

Technology

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or related field.
• 5+ years of hands-on experience building AI/ML solutions in production.
• Expert Python programming and strong SQL skills.
• Experience with TensorFlow, PyTorch, scikit-learn, LangChain.
• Experience with Hugging Face model selection and deployment.
• Familiarity with agentic AI frameworks and multi-step reasoning.
• Proficiency with GitHub.
• Strong database development experience.

Client-Facing Skills

• Exceptional presentation and communication skills and a proven ability to engage with both executive and technical audiences.
• Experience leading client workshops.
• Ability to work both independently and within multi-disciplinary teams under time pressure.
• Ability to think both critically and creatively, and to translate complex business needs into technical solutions.

What You’ll Bring

• Experience with AWS, Azure, or GCP data and analytic technologies.
• Familiarity with data visualization tools.
• Understanding of data privacy and security requirements and issues.
• Team collaboration and multi-project management.
• Appreciation of industry-specific challenges across healthcare and public sector domains.

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. 

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