Senior AI Platform Leader: Scale Autonomous Agents

Teradata; Santa Fe (NM); On-site; USD 200,000 - 299,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Time-off programs

Disability insurance

Life insurance

Job summary

Teradata seeks a Senior Manager – AI Platform to lead the development of a next-generation platform powering autonomous AI-driven agents. You will oversee a multidisciplinary team, align roadmaps with product needs, and ensure scalable, production-ready services integrated with LLMs and data pipelines.

You will drive capability definitions for predictive modeling, memory, planning, and tool orchestration, while guiding architectural choices and security practices to support enterprise-scale

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 and data\

Backend development

Cloud-native infrastructure

Distributed systems

AI/ML platforms

Cross-functional collaboration

Strategic thinking

Tools

APIs

Vector databases

LLM integrations

RAG pipelines

Security

Job description

Teradata seeks a Senior Manager – AI Platform to lead the development of a next-generation platform powering autonomous AI-driven agents. You will oversee a multidisciplinary team, align roadmaps with product needs, and ensure scalable, production-ready services integrated with LLMs and data pipelines.

You will drive capability definitions for predictive modeling, memory, planning, and tool orchestration, while guiding architectural choices and security practices to support enterprise-scale