- 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 5 years.

- Solid 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)
🏢 Oxane Partners
📍 Gurugram