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Realign Logo Realign · IT - Software Development

AI Architect

United States, New York 233000.00 USD / Year · Job Posted March 21, 2026
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Job Description

Role: AI Architect

Job Responsibility

  • System architecture: Define the architectural vision and strategy for agentic AI solutions, designing end-to-end architectures that include model integration, orchestration frameworks, memory systems, and tool-use capabilities
  • Technical leadership: Guide and mentor cross-functional teams of AI engineers, data scientists, and DevOps specialists on architectural patterns and best practices for building scalable and reliable agentic AI systems
  • Cloud infrastructure and MLOps: Design and deploy multi-agent AI systems on cloud platforms (AWS, Azure, or GCP), building and managing cloud-native AI pipelines with MLOps best practices for monitoring, evaluating, and scaling agents
  • Healthcare integration: Lead the integration of agentic AI solutions with existing healthcare systems, and other enterprise platforms, while ensuring data interoperability and security
  • Responsible AI: Ensure the implementation of strong AI governance, security, and ethical practices throughout the agent lifecycle, including bias mitigation, fairness checks, and compliance with healthcare regulations like HIPAA
  • Proof of concept and scaling: Lead proof-of-concept (PoC) initiatives to validate new agentic capabilities, then develop strategies to scale successful prototypes into production-ready systems
  • Technology evaluation: Evaluate and integrate a wide range of open-source and proprietary AI tools and technologies, including vector databases, orchestration frameworks (e.g., LangChain, CrewAI), and cloud-native AI services
  • Thought leadership: Stay current with the latest advancements in agentic AI, generative models, and multi-agent frameworks, driving innovation within the company and potentially presenting at industry conferences

Requirements

  • Must have SI experience with larger IT service provider
  • 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
  • Expertise in multi-agent orchestration frameworks (e.g., 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 (e.g., PyTorch, TensorFlow)
  • Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow)
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