Senior AI Platform Lead — Scalable, Cloud‑Native AI

Teradata; Denver (CO); On-site; USD 200,000 - 299,000; Full time

Benefits offered by this job

Health care and disability insurance

401(k) retirement savings plan

Time‑off programs

Job summary

Teradata, based in the United States, seeks a Senior Manager — AI Platform to lead the development and evolution of our next‑generation platform powering autonomous, AI‑driven agents. This role blends data science expertise with technical depth to scale a distributed system enabling reasoning, memory, and tool use at runtime.

As Senior Manager, you will drive product and data science strategy, oversee engineers and data scientists, and ensure the platform is performant, extensible, and

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

Leading platform engineering teams

Data science leadership

Distributed systems

Cloud-native infrastructure

AI/ML platforms

LLM integrations

Software architecture

Executive stakeholder communication

Tools

Vector databases

Semantic search

Feature stores

Job description

Teradata, based in the United States, seeks a Senior Manager — AI Platform to lead the development and evolution of our next‑generation platform powering autonomous, AI‑driven agents. This role blends data science expertise with technical depth to scale a distributed system enabling reasoning, memory, and tool use at runtime.

As Senior Manager, you will drive product and data science strategy, oversee engineers and data scientists, and ensure the platform is performant, extensible, and