Senior AI Platform Leader — Scalable, Agentic Systems

Teradata; Columbia (SC); Hybrid; USD 200,000 - 299,000; Full time

Benefits offered by this job

Health and disability insurance

401(k) retirement savings

Flexible work model

Job summary

Teradata seeks a Senior Manager — AI Platform to lead development of our next‑generation platform powering autonomous, AI‑driven agents. You will guide engineering and data science, align with product teams, and ensure the platform is performant, extensible, and production‑ready.

You will oversee architecture, tooling, and practices across API gateways, vector stores, and ML pipelines while mentoring a high‑performing team to deliver measurable business value across enterprise applications.

Qualifications

• 12 years of experience in software/platform engineering or data science, with 3 years in engineering management or technical leadership 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 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 integration with LLMs and 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 ML will operate at scale across the organization.

Skills

Platform engineering leadership

Data science expertise

Cloud-native architectures

LLM integrations

Roadmap & strategy

Mentoring & team growth

Communication with executives

Cross-functional collaboration

Tools

API gateways

Vector databases

RAG pipelines

Experimentation frameworks

ML platforms

Job description

Teradata seeks a Senior Manager — AI Platform to lead development of our next‑generation platform powering autonomous, AI‑driven agents. You will guide engineering and data science, align with product teams, and ensure the platform is performant, extensible, and production‑ready.

You will oversee architecture, tooling, and practices across API gateways, vector stores, and ML pipelines while mentoring a high‑performing team to deliver measurable business value across enterprise applications.