AI Technical Architect

Experience Requirements

• 8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.
• Hands‑on Experience in designing and developing large‑scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud‑native applications.
• Programming
  
  Languages:
  
  Proficiency in Python, JavaScript, Java, or other backend languages.
  
  Experience with API development (RESTful APIs, Graph
  
  QL).
• Machine Learning & AI:
  Extensive experience in building and deploying ML models using Tensor Flow, PyTorch, scikit-learn, and spaCy, with hands‑on experience in integrating them into GenAI applications.
• Hands on experience in GCP/Data Engineering/Dev Ops

The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud‑native infrastructure.

Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving.