- 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 (Gurugram)
🏢 Oxane Partners
📍 Gurugram