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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement agentic AI workflows and build robust question answering systems over clinical and operational data.
Develop scalable Big Data cloud solutions, microservices, and APIs integrating AI capabilities into clinician tools and internal applications.
Own MLOps/LLMOps practices including CI/CD, reliability, compliance, security (HIPAA), and operational metrics to ensure high-quality production deployments.
Minimum Requirements
Bachelor's degree in Engineering, Computer Science, IT, or related fields.
10+ years total technology experience; 8+ years hands-on software development, data engineering, and AI/ML delivery with Scala, Python, PySpark.
4+ years experience with Databricks, ADF/Airflow, big data/streaming technologies (Hadoop, Spark, Kafka), Docker/Kubernetes, and SQL/NoSQL databases.
2+ years experience with LLMs and GenAI tools (e.g., Langchain, RAG, Azure Open AI).
Ideal Candidate Profile
Extensive experience operating in large-scale healthcare AI/ML environments focusing on compliance and data security in regulated industries.
Strong background in designing AI-driven microservices and workflows that enhance clinical decision tools.
Experienced in leading complex deployments with observability, monitoring SLIs/SLOs, and cost management in cloud platforms like Azure.