Senior AI Platform Leader

Teradata; Columbus (OH); Hybrid; USD 200,000 - 299,000; Full time

Benefits offered by this job

Flexible work model

Health and retirement benefits

Job summary

Teradata seeks a Senior Manager - AI Platform to lead the development of a next‑generation platform powering autonomous, AI‑driven agents. This role blends data science expertise with platform thinking to scale a distributed system enabling reasoning, memory, and tool use at runtime.

You will drive product and data science strategy, mentor engineers and data scientists, and ensure the platform is performant, extensible, and production‑ready for AI workloads across the enterprise.

Qualifications

• 12+ years of experience in software/platform engineering or data science, with 3+ years in engineering management or technical leadership roles overseeing AI-driven initiatives.
• Proven experience building and scaling distributed systems or cloud platforms in production environments.
• Strong technical background in backend development, APIs, infrastructure, or platform architecture.
• Hands-on experience with AI/ML platforms, LLM integrations, and demonstrated background in data science methodologies including model development, evaluation, and deployment.
• Proven experience working with vector databases, semantic search, feature stores, and end-to-end data science pipelines in production environments.
• Strong project management skills, with a track record of delivering large cross-functional initiatives.
• Excellent communication and collaboration skills, with the ability to work closely with executive stakeholders, researchers, and engineers.
• Passion for building platforms that enable intelligent, autonomous behavior at scale.

Responsibilities

• Lead the engineering and data science roadmap for the AI Platform, ensuring architectural scalability, reliability, and seamless integration with LLMs, data science pipelines.
• Partner with product, data science, research, and engineering teams to define requirements for capabilities such as predictive modeling, memory, planning, multi-agent collaboration, and tool orchestration.
• Drive the design and implementation of core platform services including API gateways, vector store integrations, RAG pipelines, and data science experimentation frameworks.
• Oversee integrations with third-party tools, internal data science services, and infrastructure platforms to enable real-world agent execution and model deployment at scale.
• Guide the team in applying best practices in cloud-native development, distributed computing, observability, and security.
• Manage, mentor, and grow a high-performing team of backend engineers, data scientists, and AI platform specialists.
• Ensure alignment between platform capabilities and evolving needs from AI product lines and downstream applications.
• Drive technical excellence through code and design reviews, system reliability practices, and collaboration across engineering functions.
• Contribute to the long-term vision and strategy of how agentic workflows, powered by data science and machine learning, will operate at scale across the organization.

Skills

Leadership

Data science

Backend development

Cloud-native

LLM integrations

Distributed systems

Project management

Communication

Tools

APIs

Vector databases

RAG pipelines

Job description

Teradata seeks a Senior Manager - AI Platform to lead the development of a next‑generation platform powering autonomous, AI‑driven agents. This role blends data science expertise with platform thinking to scale a distributed system enabling reasoning, memory, and tool use at runtime.

You will drive product and data science strategy, mentor engineers and data scientists, and ensure the platform is performant, extensible, and production‑ready for AI workloads across the enterprise.