AI Architect
LLM AWS Bedrocks AI ML
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| Mandatory Skills | AWS GCP GenAI Agentic AI BedRocks |
| JD | 12 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 GraphQL). Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow PyTorch scikit-learn and spaCy with hands-on experience in integrating them into GenAI applications. Hands on experience in GCP/Data Engineering/DevOps 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. |
AI Architect LLM AWS Bedrocks AI ML Mandatory Skills AWS GCP GenAI Agentic AI BedRocks JD 12 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 in...
AI Architect
LLM AWS Bedrocks AI ML
| | |
| Mandatory Skills | AWS GCP GenAI Agentic AI BedRocks |
| JD | 12 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 GraphQL). Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow PyTorch scikit-learn and spaCy with hands-on experience in integrating them into GenAI applications. Hands on experience in GCP/Data Engineering/DevOps 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. |
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