Senior Manager Artifical Intelligence Engineering

Role Overview: As a Senior Manager AI Engineering at Teradata, you will lead the development and evolution of the next-generation Agentic Platform, empowering autonomous, AI-driven agents. Your role will involve driving the product direction, overseeing a team of engineers, collaborating with AI/ML research and product teams, and ensuring the platform's performance and readiness for production. Key Responsibilities: - Lead the engineering roadmap for the Agentic Platform, ensuring architectural scalability, reliability, and integration with LLMs and orchestration frameworks. - Partner with product, research, and engineering teams to define requirements for capabilities like 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 context management. - Oversee integrations with third-party tools, internal services, and infrastructure platforms to enable real-world agent execution 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 and 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. Qualifications Required: - 8+ years of experience in software/platform engineering, with 3+ years in engineering management or technical leadership roles. - Proven experience in building and scaling distributed systems or cloud platforms in production environments. - Strong technical background in backend development, APIs, infrastructure, or platform architecture. - Familiarity with AI/ML platforms, LLM integrations, or autonomous agent frameworks (LangChain, CrewAI, AutoGen, etc.) is highly desirable. - Solid understanding of cloud platforms (AWS, Azure, GCP), container orchestration (Kubernetes), and microservices. - Experience working with vector databases, semantic search, or data pipelines is a plus. - 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.,