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

We are seeking Director of AI Engineering to lead teams building Agent Platform, Agents and AI Tools to automate complex engineering tasks and lead AI initiatives that will change the way products are built, tested and released to enterprise customers for all Teradata product offerings. In this role, you will shape the engineering strategy for agent development, operationalization, and productization, low‑code
o‑code/pro-code frameworks. You’ll partner with engineering, product, architecture, and AI platform teams to deliver high-impact AI capabilities that boost developer productivity and transform customer experiences. Your work will help standardize agent governance, accelerate AI adoption, and deliver measurable ROI through autonomous and semi‑autonomous engineering workflows.

Lead end‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms
Drive architecture and standardization of core agent building blocks (LLM gateways, observability, knowledge bases, vector stores, evaluation frameworks).
Establish best practices for secure, governed, and auditable agent development (governance frameworks, certification processes, review workflows).
Work with product teams to integrate low‑code
o‑code and pro‑code agent frameworks (e.g., Karini, N8N, or internal alternatives) into unified developer experiences.
Lead the operationalization of AI agents for broad organizational use, including deployment pipelines, containerization patterns, monitoring, and lifecycle management.
Establish observability metrics and dashboards to measure ROI, productivity uplift, and agent usage trends.
Manage and grow a talented, high potential team of engineers delivering AI automation, intelligent triage, and predictive analytics solutions.
Drive execution for quarterly/annual AI engineering deliverables, ensuring efficiency, quality, and predictable delivery.
Work closely with product managers, AI researchers, test engineering, and platform teams to align the agent roadmap with business goals.

Who you will work with

This opportunity is within the Internal Engineering Organization. Team comprises of multiple global scrum teams working towards a common goal to fundamentally change the way Teradata Vantage Platform and AI Products are built, tested & deployed on various on‑prem and cloud platforms (AWS, Azure, GC) using AI with quality and performance guidelines.

Fast‑paced, flexible, fun. That describes our work environment… a place to brainstorm with the best data minds, engage customers and surprise yourself with what’s possible, every day.

Qualifications

12+ years of experience in software engineering, with at least 5+ in people and technical leadership roles.

Proven experience building and delivering AI‑powered features, ML systems, or intelligent automation products.

Hands‑on experience with LLMs, agent frameworks, orchestration tools, vector databases, and retrieval‑augmented pipelines.

Strong background in distributed systems, cloud‑native development, and modern CI/CD (e.g., GitHub Actions, Jenkins).

Knowledge of observability tools and telemetry for debugging ML/agent performance.

Excellent communication skills and experience presenting to senior leadership.

What You’ll Bring

Experience productizing agents at scale in enterprise environments.
Familiarity with low‑code
o‑code agent platforms (e.g., Karini or similar) and enterprise AI governance practices.
Experience leading cross‑geo engineering teams in dynamic, fast‑paced environments.
Background working in organizations undergoing AI proficiency/AI adoption transformation.

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.

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: - - 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:

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