Senior Lead Engineer – AI Platform Architecture & Engineering

Overview

Senior Lead Engineer to design, deploy, operationalize, and scale Generative AI solutions, including agent and orchestrator frameworks, across enterprise and product environments.

What you'll do

• Lead design and implementation of scalable AI/ML platform architecture.
• Architect and deploy production-grade Generative AI, Machine Learning, and Agentic AI solutions.
• Build secure, reliable AI deployment pipelines and operational frameworks.
• Develop AI services for enterprise-scale workloads and high availability.
• Implement MLOps practices including CI/CD for AI workloads and model monitoring.
• Provide technical leadership through architecture reviews and engineering mentorship.

What you'll need

• Minimum 3+ years of software engineering experience (or 2+ with a Master’s, or 1+ with a PhD).
• 2+ years of experience with programming languages such as C, C++, Java, or Python.
• 3+ years of hands-on AI/ML engineering experience.
• Experience deploying AI systems into production environments.
• Proficiency in Python and experience with AI/ML frameworks such as PyTorch and TensorFlow.
• Experience with MLOps tools including MLflow and Kubeflow.
• Experience deploying on cloud platforms including Microsoft Azure, AWS, or Google Cloud Platform.

Details

• Location: Hyderabad, Telangāna, India.