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Domnic Lewis Pvt. Ltdvia Indeed
AI Architect
KA, INPosted 5mo ago
NLP / LLMLead#python#pytorch#tensorflow#huggingface#langchain#llm#transformers#nlp#kubernetes
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About the Role
AI Architect - Modern AI Applications
As a AI Architect with deep expertise in Machine learning, Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact AI Platform development for HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create platform/solutions that are explainable, reliable, and transformative for healthcare operations. This role is focused on building scalable AI platforms and frameworks from scratch and is not a data science or model experimentation role. Key Responsibilities Healthcare-Focused AI Development Architect, design and develop AI platform to support large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Frameworks which can support AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on any AI Platform related development within product teams. Mentor junior AI designers and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master’s in Computer Science, AI, Machine Learning, or related field AND 10+ years of experience in developing AI/ML platform on Cloud & on-Prem. Or 15+ software engineering background in AI, Machine Learning, or related field with 10+ years of experience in building AI/ML platforms. Proficiency in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Strong background with cloud platforms ,On Prem and MLOps/LLMOps practices. Strong background in Kubernetes , Terraforms etc., Proven ability in Observability, Logging and Scalable systems Preferred Skills Knowledge graph db, No SQL/SQL DB Proven ability to take Architecture/Design from concept to production.
As a AI Architect with deep expertise in Machine learning, Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact AI Platform development for HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create platform/solutions that are explainable, reliable, and transformative for healthcare operations. This role is focused on building scalable AI platforms and frameworks from scratch and is not a data science or model experimentation role. Key Responsibilities Healthcare-Focused AI Development Architect, design and develop AI platform to support large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Frameworks which can support AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on any AI Platform related development within product teams. Mentor junior AI designers and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master’s in Computer Science, AI, Machine Learning, or related field AND 10+ years of experience in developing AI/ML platform on Cloud & on-Prem. Or 15+ software engineering background in AI, Machine Learning, or related field with 10+ years of experience in building AI/ML platforms. Proficiency in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Strong background with cloud platforms ,On Prem and MLOps/LLMOps practices. Strong background in Kubernetes , Terraforms etc., Proven ability in Observability, Logging and Scalable systems Preferred Skills Knowledge graph db, No SQL/SQL DB Proven ability to take Architecture/Design from concept to production.
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