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 .

📌 Tech Lead Ai Engineering Gurugram
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