Role: AI Architect For Healthcare Agentic projects
Location: New York City, NY (On-site)
FTE
Job Description
Must Have Technical/Functional Skills
• 10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML specifically.
• Proven experience designing and developing multi-agent AI systems in a production environment.
• Significant experience in the healthcare industry, with a deep understanding of clinical workflows, RCM, data standards (HL7, FHIR), and regulated environments.
Technical Skills
• Expertise in multi-agent orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen).
• Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models.
• Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services.
• Strong background in data engineering, including building ETL pipelines and managing vector stores.
• Proficiency in Python and relevant AI/ML libraries (PyTorch, TensorFlow).
• Hands-on experience with MLOps practices and tools (Docker, Kubernetes, MLflow).
Roles & Responsibilities
• Define the architectural vision and strategy for agentic AI solutions.
• Guide and mentor cross-functional teams.
• Design and deploy multi-agent AI systems on cloud platforms.
• Lead healthcare system integrations while ensuring interoperability and security.
• Ensure Responsible AI, governance, fairness, and HIPAA compliance.
• Lead PoC initiatives and scale successful solutions to production.
• Evaluate AI technologies and orchestration frameworks.
• Drive innovation and thought leadership in agentic AI.
Generic Managerial Skills
Seeking a seasoned and innovative AI Architect to lead the design and implementation of
next-generation agentic AI systems for healthcare clients. The ideal candidate will possess a deep
understanding of multi-agent systems, LLM orchestration, and cloud-native AI infrastructure.