Director, AI Engineering

Opentext

12 - 17 years

35 - 40 Lacs

hyderabad

Posted:5 days ago| Platform:

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Skills Required

ai engineering kubernetes rest python javascript microservices docker java web frameworks product management gcp devops ai development full stack software engineering typescript aws azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Opportunity

You Are Great At

Leading multiple AI-focused engineering teams delivering production-grade AI products.
Managing full-stack development, spanning backend services, AI integration, and user-facing applications.
Enabling teams through clear priorities, strong execution discipline, and hands-on leadership.
Leading teams across multiple locations in India, with effective cross-geo collaboration.
Driving adoption of AI across engineering workflows, tooling, and development practices.
Partnering closely with product management, architecture, and global stakeholders.
Building a culture of accountability, technical excellence, and continuous learning.

Technology Stack & Environment

Experience with many of the following is expected; depth in all areas is not required.
Languages & Frameworks: Java, JavaScript/TypeScript, Python, modern backend and web frameworks
AI & Data: LLMs, RAG pipelines, agent-based systems, vector databases, model integration and evaluation
Cloud & Platforms: Kubernetes, Docker, public cloud platforms (AWS, Azure, or GCP), hybrid and private cloud deployments
Architecture: Microservices, event-driven systems, REST and async APIs
DevOps & Quality: CI/CD pipelines, automated testing, observability, monitoring, and reliability practices
AI Tooling: Familiarity with modern AI development tools and frameworks (e.g., LangChain, LangGraph, model orchestration patterns)

What It Takes

12+ years of software engineering experience, including 5+ years in engineering leadership roles.
Proven experience leading teams building AI-powered or data-driven products.
Strong background in full-stack engineering and modern software delivery practices.
Experience managing distributed engineering teams across multiple locations in India.
Solid understanding of AI concepts and how to operationalize them in real products.
Ability to balance delivery, people development, and cross-team alignment.
Strong communication skills and experience working with global stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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