Senior Manager AI Engineering

Teradata Group; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Teradata seeks a Senior Manager – Agentic Platform to lead the development of a next-generation platform powering autonomous, AI-driven agents. You will oversee a team of engineers, collaborate with AI/ML research and product teams, and ensure the Agentic Platform is performant, extensible, and production-ready.

The role requires strong backend, platform architecture skills and experience with cloud-native methods, API gateways, and multi-agent orchestration.

Qualifications

• 12+ years of software/platform engineering experience.
• 3+ years in engineering management or technical leadership.
• Proven experience building and scaling distributed systems or cloud platforms in production.
• Strong backend/API, infrastructure, and cloud architecture background.
• Familiarity with AI/ML platforms and autonomous agent frameworks (LangChain, CrewAI, AutoGen).

Responsibilities

• Lead the engineering roadmap for the Agentic Platform with a focus on scalability and reliability.
• Collaborate with product, research, and engineering teams to define requirements for memory, planning, multi-agent collaboration, and tool orchestration.
• Design and implement core platform services including API gateways, vector stores, RAG pipelines, and context management.
• Oversee integrations with third-party tools, internal services, and infrastructure to enable scalable agent execution.
• Promote best practices in cloud-native development, distributed computing, observability, and security.
• Mentor and grow a high-performing team of backend engineers and platform specialists.
• Align platform capabilities with evolving AI product needs and downstream applications.
• Drive technical excellence via code/design reviews and reliability practices.
• Contribute to the long-term vision of agentic workflows at scale.

Skills

Senior leadership

Platform engineering

Distributed systems

Cloud platforms

LLM integration

Backend APIs

Team mentoring

Education

Bachelor’s/Master’s in CS or related

Tools

LangChain

CrewAI

AutoGen

Kubernetes

Vector databases

Job description

Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do:

We are looking for a Senior Manager – Agentic Platform to lead the development and evolution of our next-generation platform powering autonomous, AI-driven agents. This role is ideal for a leader who combines technical depth, platform thinking, and strategic execution to scale a distributed system that enables reasoning, planning, memory, and tool use at runtime.

As the Senior Manager, you will be responsible for driving product direction, overseeing a team of engineers, collaborating with AI/ML research and product teams, and ensuring that the Agentic Platform is performant, extensible, and production-ready.

Job Responsibilities:

• Lead the engineering roadmap for the Agentic Platform, ensuring architectural scalability, reliability, and seamless integration with LLMs and orchestration frameworks.
• Partner with product, research, and engineering teams to define requirements for capabilities such as 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.
• Contribute to the long-term vision and strategy of how agentic workflows will operate at scale across the organization.

What Makes You A Qualified Candidate:

• 12+ years of experience in software/platform engineering, with 3+ years in engineering management or technical leadership roles.
• Proven experience 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.

What You'll Bring:

• A strong track record of leading platform engineering teams that build scalable, reliable systems supporting internal and external developers or AI/ML workloads.
• Deep understanding of software architecture, distributed systems, and cloud-native infrastructure — with the ability to make strategic technical decisions.
• Experience working at the intersection of AI and engineering, ideally supporting LLM-based products or intelligent automation platforms.
• A pragmatic approach to balancing technical depth with delivery speed, especially in fast-paced, R&D-heavy environments.
• Demonstrated ability to hire, mentor, and retain high-performing engineers while fostering a culture of ownership, experimentation, and accountability.
• Strong cross-functional collaboration skills — able to partner effectively with product managers, researchers, infrastructure teams, and executive stakeholders.
• Curiosity and drive to push the boundaries of autonomous software, and a vision for how agentic systems will shape the next generation of applications.
• Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly to technical and non-technical audiences.

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