AI Technical Architect
Listed on 2026-03-01
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Overview
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
Responsibilities- 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.
- 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
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