AI Architect

The AI Architect will be responsible for designing robust, scalable, and secure AI/ML system architectures. This role requires deep technical expertise and the ability to align AI solutions with business and domain-specific requirements.

Key Responsibilities

Design end-to-end AI/ML solution architectures Define data pipelines, feature stores, model training, and inference layers Architect scalable deployment patterns for AI workloads Select appropriate ML models, frameworks, and infrastructure Ensure architectural best practices for performance, security, and cost Collaborate closely with engineering teams for implementation Provide technical guidance and architectural reviews Document architecture, design decisions, and standards

Required Skills & Qualifications

36 years of experience in AI/ML, data science, or AI engineering roles Strong foundation in machine learning, deep learning, and statistics Hands-on experience with Python and ML frameworks Experience designing production AI systems Strong understanding of data pipelines, model lifecycle, and deployment strategies Experience with cloud-native architectures and services Knowledge of Docker, Kubernetes, REST APIs, and microservices Ability to communicate complex technical concepts clearly

Good to Have

Experience with GenAI, LLM fine-tuning, prompt engineering, or agentic AI Exposure to domain-specific AI solutions (BFSI, Retail, Healthcare, GovTech) Experience with data warehouses, vector databases, or streaming systems