External - AI Architect (m/f/*)
Role details
Job location
Tech stack
Job description
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., 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.
Requirements
- 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
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15+ software engineering background in AI, Machine Learning, or related field with 10+ years of experience in building AI/ML platforms.
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Proficiency in Python, R, and modern ML libraries.
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Experience with GenAI, LLMs, and transformer architectures.
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Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
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Hands-on experience with autonomous AI agents and reasoning systems.
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Strong track record applying AI to healthcare or life sciences use cases.
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Strong background with cloud platforms ,On Prem and MLOps/LLMOps practices.
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Strong background in Kubernetes , Terraforms etc.,
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Proven ability in Observability, Logging and Scalable systems
Additional qualifications that could help you succeed even further in this role include:
- Knowledge graph db, No SQL/SQL DB
- Proven ability to take Architecture/Design from concept to production.