Senior Director, AI Engineering

Sr Director of Engineering, AI & Machine Learning:

About Cornerstone:

Cornerstone provides an AI-powered Talent Experience Platform for unifiedcontent discovery, knowledge management, and personalized learning experiencesacross the career journey. Our award-winning platform is used globally byFortune 500 companies and government organizations to solve complex discovery,curation, and recommendation challenges across internal, external, and tacitknowledge sources.

As part of a significant investment in a new AI product,Cornerstone is building next-generation AI capabilities that will expand andenhance how customers learn, grow, and perform. We are seeking a Sr Directorof Engineering, AI & Machine Learning to lead the technical executionand team delivery for this strategic initiative.

The Role:

This role blends engineering leadership, platform ownership, andpeople management within an AI-focused product. You will lead a teamof Software, Machine Learning Engineers, and Managers responsible for building,deploying, and operating AI-driven capabilities including recommendationsystems, generative AI, and data-driven insights.
You will partner closely with Product, Data Science, Platform, andClient-facing teams to ensure AI solutions are scalable, secure, andproduction-ready from day one.

In this role you will..

Technical & Platform Leadership

• Lead the design, development, and delivery of AI-driven features for a new AI product, including recommendation systems, generative AI, and data visualization.
• Partner with Product and domain teams to shape future designs and ensure solutions are feasible, scalable, automated, secure, and operationally supportable.
• Define platform architecture decisions, including CI/CD pipelines, cloud deployment strategies, and automation supporting the ML lifecycle.
• Partner with ML specialists to establish best practices for MLOps, including model deployment, monitoring, retraining, and production reliability.
• Drive experimentation and rapid iteration to improve model performance, engagement, and real-world impact.

Execution & Delivery

• Own execution and delivery across AI/ML initiatives, ensuring alignment with product roadmaps and business priorities.
• Collaborate with engineering leaders to ensure predictable, high-quality delivery.
• Define and track metrics for system reliability, customer impact, and product success.
• Engage with customers as needed for technical discussions, escalations, and AI-driven enhancements.

People & Organizational Leadership

• Build, lead, and develop a team of Software and ML engineers in a highly autonomous environment.
• Set clear technical direction while empowering teams to operate independently.
• Coach engineers and managers on technical depth, operational discipline, and delivery excellence.
• Partnerwith recruiting and leadership to scale the team as the product and investmentgrow.

Technology Stack & Capabilities

• Programming & Data: Python, Java/Kotlin and related data and visualization libraries.
• Backend & Data Systems: RESTful APIs, distributed systems, analytical databases.
• AI / ML Frameworks: PyTorch, TensorFlow, Hugging Face, OpenAI APIs.
• ML Pipelines & MLOps: Apache Airflow, Kubeflow, Ray (or equivalent).
• Cloud & DevOps: CI/CD pipelines, cloud deployment, monitoring, and infrastructure automation.
• Development Practices: Agile / Lean methodologies.

Who You Are:

• A hands-on technical leader who can go deep when needed but primarily operates at the system, platform, and team level.
• Comfortable making independent decisions in fast-moving, ambiguous environments.
• A strong collaborator and communicator across technical and non-technical audiences.
• Delivery-focused with a track record of shipping complex products on time.
• Deeply customer-focused with a passion for AI innovation and continuous improvement.

You've got what it takes if you...

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience.
• 15+ years of experience designing and building scalable, resilient systems.
• 9+ years leading engineering teams and initiatives in enterprise or Tier 1 companies.
• Experience delivering AI-integrated products, with working knowledge of ML concepts, LLMs, and generative AI.
• Demonstrated ability to quickly learn and apply new technical domains.
• Solid experience with system availability, security, performance, and operational excellence.
• Excellent communication and presentation skills, including the ability to explain complex technical concepts to non-technical stakeholders.
• A strong customer-service mindset and commitment to high-quality delivery.

#LI-Onsite

Client-provided location(s): Hyderabad, India

Job ID: CornerstoneOnDemand-req10944

Employment Type: OTHER

Posted: 2026-02-21T19:14:36