Senior Manager, AI Engineering

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:

We are seeking an experienced Senior Software Engineering Manager to lead teams building AI-driven agents, scalable agent platforms, and production-grade intelligent automation. In this role, you will shape the engineering strategy for agent development, operationalization, and productization, bridging low‑code/no‑code agent experiences and 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

Your Opportunity:

• Lead end‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms such as AI Studio or equivalent
• 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/no‑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 test and release Teradata Vantage Platform and AI Products on various on-prem and cloud platforms (AWS, Azure, GC) 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.

What makes you a qualified candidate:

• 10+ years of experience in software engineering, with at least 4+ 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/no‑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.

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