AI Architect

Job Title: AI Architect
Location: New York (100% Onsite)
Type: Fulltime

• 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 Google Cloud Platform) 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.