Director, Autonomous Platform

Teradata; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Teradata is seeking a Director of Engineering for the Autonomous Platform to lead two engineering teams responsible for AI-driven platform capabilities including ADP and WLM. You will define the technical roadmap, drive excellence, and partner with Product Management, Architecture, Security, and Cloud Operations to deliver scalable, secure enterprise solutions.

You will mentor engineers, foster a high-performance culture, and establish Centers of Excellence to position Teradata as a world leader

Qualifications

• 12+ years in software engineering with 5+ years leading teams.
• Experience delivering distributed systems or cloud-native platforms.
• Experience integrating AI/ML into enterprise products; knowledge of multi-cloud.

Responsibilities

• Define and drive the technical roadmap for ADP and WLM platforms.
• Lead and mentor multiple engineering teams across AI/ML and platforms.
• Collaborate with product, architecture, security, and cloud operations to ensure reliability.

Skills

Engineering leadership

Distributed systems

Cloud architectures

AI/ML integration

Kubernetes

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes

Microservices

DevOps tooling

Job description

Director, Engineering - Autonomous Platform

What You'll Do

• As the Director of 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 teams build core frameworks and services that embed agentic AI into Teradata's product portfolio.
• Partner with other teams to industrialize proof-of-concepts into highly 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.
• Proven track record delivering 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.
• Expertise in 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 or Master'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.

Why We Think You’ll Love TeradataWe prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.