Senior AI Platform Leader: Scale-Driven AI Systems

Teradata Corporation (SE); Little Rock (AR); Hybrid; USD 200,000 - 299,000; Full time

Job summary

Teradata Corporation is seeking a Senior Manager - AI Platform to lead the development of a next-generation autonomous, AI-driven platform. You will guide a multidisciplinary team of engineers and data scientists, ensuring the platform is scalable, extensible, and production-ready for integration with LLMs and AI workflows.

You will own the engineering and data science roadmap, collaborate with product and research teams, and drive architectural decisions that enable memory, planning,

Qualifications

• 12+ years of software/platform engineering or data science, with 3+ years in leadership roles overseeing AI initiatives.
• Proven experience building and scaling distributed systems or cloud platforms in production.
• Strong background in backend development, APIs, infrastructure, or platform architecture.
• Hands-on experience with AI/ML platforms, LLM integrations, and data science deployment.

Responsibilities

• Lead the engineering and data science roadmap for the AI Platform.
• Define requirements for predictive modeling, memory, planning, and tool orchestration.
• Design and implement core platform services including API gateways and data pipelines.
• Oversee integrations with third-party tools and data science services.
• Guide cloud-native development, observability, and security practices.
• Mentor and grow a high-performing backend/data science team.
• Align platform capabilities with evolving AI product needs.
• Drive technical excellence through code reviews and reliability practices.

Skills

Data science leadership

Backend engineering

Cloud-native

LLM integration

Vector databases

AI platforms

Project management

Cross-functional collab

Tools

APIs

Vector stores

RAG pipelines

Job description

Teradata Corporation is seeking a Senior Manager - AI Platform to lead the development of a next-generation autonomous, AI-driven platform. You will guide a multidisciplinary team of engineers and data scientists, ensuring the platform is scalable, extensible, and production-ready for integration with LLMs and AI workflows.

You will own the engineering and data science roadmap, collaborate with product and research teams, and drive architectural decisions that enable memory, planning,