Director, Autonomous Platform

Teradata Group; Hyderabad; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

Teradata in Hyderabad seeks a Director of Engineering for the Autonomous Platform to lead two engineering teams delivering AI-powered capabilities across ADP and WLM. You will define the technical roadmap and drive reliability while mentoring managers and collaborating with PM, Architecture, and SRE to scale enterprise features.

This role emphasizes cross-functional leadership, platform governance, and advancing agentic AI in a secure, scalable data platform.

Qualifications

• 12+ years in software engineering with leadership experience
• Proven track record delivering distributed systems or cloud-native platforms
• Experience integrating AI/ML or agentic AI into enterprise products
• Expertise in hybrid/multi-cloud architectures (AWS, Azure, GCP)
• Experience modernizing apps into microservices/Kubernetes deployments
• Strong APIs, streaming, observability, DevOps, and AI inference pipelines knowledge
• Bachelor's or Master's in CS/Engineering or related field

Responsibilities

• Lead and grow multiple engineering teams spanning platform engineering, AI/ML, and distributed systems
• Build and scale high-performing teams in agentic AI and cloud infrastructure
• Establish a culture of innovation, accountability, and continuous improvement
• Drive resource planning, cross-functional alignment across engineering, product, and platform teams
• Coach engineering managers and senior engineers to maximize team effectiveness
• Lead architecture strategy for autonomous AI platform capabilities
• Industrialize proof-of-concepts into reliable enterprise features
• Drive reliability, observability, and platform scalability across systems

Skills

Leadership

Distributed systems

AI/ML integration

Cloud platforms (AWS/Azure/GCP)

Kubernetes

DevOps

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes

Docker

CI/CD

Terraform

Job description

Director, Engineering - Autonomous Platform

What You'll Do

• As theDirectorof Engineering for Teradata's Autonomous Platform, you will lead and grow two engineering teams responsible for building and delivering core agentic AI-powered platform capabilities: Autonomous Data Platform (ADP) and Workload Management (WLM). You will define and drive the execution of the technical roadmap, ensure engineering excellence, and partner closely with Product Management, Architecture, and cross-functional stakeholders to deliver scalable, secure, and reliable AI-driven solutions.
• You will play a key role in transforming innovative AI concepts into production-ready platform capabilities while building and mentoring high-performing engineering teams that support Teradata's next generation of autonomous and knowledge-driven products.
• Build 2 Centers of Excellence to be recognize as top world leaders

Key Responsibilities

Organizational & People Leadership

• Lead, mentor, and develop multiple engineering teams spanning platform engineering, AI/ML, and distributed systems.
• Build and scale high-performing teams; attract,retain, and grow top technical talent in agentic AI, developer platforms, and cloud infrastructure.
• Establish a culture of innovation, accountability, and continuous improvement.
• Drive organizational clarity, resource planning, and cross-functional alignment across engineering, product, and platform teams.
• Coach engineering managers, technical leads, and senior engineers to maximize team effectiveness.

Technical & Strategic Leadership

• Lead execution of the architecture strategy for Teradata's autonomous, knowledge, and agentic AI platform capabilities.
• Oversee delivery of production-grade agentic AI functionality across the Knowledge & Data Platform.
• Guide teamsbuildcore frameworks and services that embed agentic AI into Teradata's product portfolio.
• Partner with other teams to industrialize proof-of-concepts intohighly reliable, scalable, and secure enterprise features.
• Drive technical evaluation and adoption of technologies related to autonomous data platform, workload management, LLM orchestration, AI agents, and AI-native developer experiences.
• Proven knowledge and experience with the entire AI (Machine Learning, Deep Learning, Reinforcement Learning, LLM,etc.)
• Proven experience in engineering excellence
• Good statistical knowledge
• Champion engineering excellence in reliability, observability, automation, and platform scalability.

Cross-Functional Leadership

• Work closely with Security Engineering to ensure AI-driven capabilities meet enterprise-grade compliance and governance requirements.
• Partner with Product Management to translate customer needs into differentiated AI and analytics platform capabilities.
• Collaborate with Architecture, R&D, SRE, and Cloud Operations teams to improve reliability, performance, and developer productivity.
• Communicate technical strategy, execution progress, and risks to senior leadership stakeholders.

What Makes You a Qualified Candidate

Required Experience

• 12+ years in software engineering with at least 5+ years leading engineering teams and managers.
• Proventrack recorddelivering complex distributed systems, cloud-native platforms, or large-scale data platforms.
• Demonstrated experience integrating AI/ML, generative AI, or agentic AI technologies into enterprise-grade products.
• Expertisein hybrid and multi-cloud architectures across AWS, Azure, and/or GCP.
• Experience modernizing applications into microservices and Kubernetes-based deployment environments.
• Strong understanding of APIs, streaming systems, observability, DevOps practices, and production-grade AI inference pipelines.
• Bachelor's orMaster's degree in Computer Science, Engineering, or related field.

What You Will Bring

• Ability to lead managers and senior technical contributors while fostering a high-performance culture.
• Strong systems-thinking mindset coupled with a pragmatic, execution-focused approach to solving technical challenges.
• Deep understanding of platform reliability, scalability, performance, and AI platform governance.
• Excellent communication skills with the ability to influence senior leadership and cross-functional stakeholders.
• Passion for building AI-native enterprise platforms and driving innovation at scale.