- Define and own the AI solution architecture for complex projects, ensuring scalability, security, and performance.
- Collaborate with core engineering teams to integrate AI models into existing systems and workflows.
- Evaluate and recommend appropriate AI frameworks, tools, and technologies for enterprise -grade deployments.
- Establish best practices for model lifecycle management, including training, deployment, monitoring, and retraining.
- Drive technical reviews, proof -of -concepts, and architecture validation for AI initiatives.
- Mentor engineering teams on AI architecture principles and emerging technologies Requirements - Proven experience in AI/ML architecture and system design for large -scale applications.
- Relevant minimum work experience of five years.




- Robust knowledge of Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP).
- Knowledge of AzureOpenAI and Microsoft Foundry is preferred.
- Expertise in data engineering, distributed systems, and API integration.
- Ability to translate business requirements into technical solutions.
- Excellent communication and leadership skills to influence technical decisions . experiance: 60 skill: system design, Python, AWS, Azure, GCP, data engineering, AIML architecture, TensorFlow, PyTorch, cloud platforms industry: IT Services & Consulting

📌 Tech Lead (AI) Engineering (Gurugram)
🏢 Important Business
📍 India