Senior AI Platform Leader

Teradata; Annapolis (MD); Hybrid; USD 200,000 - 299,000; Full time

Benefits offered by this job

Flexible work model

Healthcare benefits

401(k)

Job summary

Teradata is seeking a Senior Manager – AI Platform to lead development of a next-generation platform powering autonomous AI-driven agents. You will oversee a multidisciplinary team and drive strategy across engineering and data science to ensure performance, extensibility, and production readiness.

This role emphasizes cloud-native practices, scalability, and collaboration with AI/ML research and product teams.

Qualifications

• 12+ years in software/platform engineering or data science with 3+ years in engineering management overseeing AI initiatives.
• Proven experience building and scaling distributed systems or cloud platforms in production.
• Hands-on background in AI/ML platforms, LLM integrations, and data science pipelines.

Responsibilities

• Lead the engineering and data science roadmap for the AI Platform with scalable architecture.
• Collaborate with product, research, and engineering to define capabilities like memory, planning, multi-agent collaboration, and tool orchestration.
• Design and implement core services including API gateways, vector store integrations, and RAG pipelines.
• Oversee integrations with third-party tools and data science services to enable real-world agent execution at scale.
• Mentor and grow a high-performing backend engineering and data science team.

Skills

AI platform leadership

Backend engineering

Distributed systems

Data science leadership

Cloud-native development

Education

Bachelor’s degree in CS or related field

Tools

APIs

LLM integrations

Vector databases

RAG pipelines

Data science tooling

Job description

Teradata is seeking a Senior Manager – AI Platform to lead development of a next-generation platform powering autonomous AI-driven agents. You will oversee a multidisciplinary team and drive strategy across engineering and data science to ensure performance, extensibility, and production readiness.

This role emphasizes cloud-native practices, scalability, and collaboration with AI/ML research and product teams.