AI Architect (Healthcare)

Veridian Tech Solutions, Inc.; New York (NY); On-site; USD 200,000 - 220,000; Full time

Job summary

Veridian Tech Solutions, Inc. in New York seeks an AI Architect for Healthcare Agentic projects to define architecture, mentor teams, and deploy multi-agent AI systems on cloud platforms supporting healthcare workflows.

The role requires 10+ years in software architecture, 5+ years in AI/ML, and deep healthcare knowledge (HL7, FHIR, HIPAA). Responsible AI and security are core priorities.

Qualifications

• 10+ years of experience in software architecture or engineering, with at least 5+ years in AI/ML.
• Proven experience designing and developing multi-agent AI systems in a production environment.
• Significant healthcare industry experience with HL7, FHIR, RCM, and HIPAA compliance.
• Expertise in cloud platforms (AWS, Azure, GCP) and AI services; strong data engineering background with ETL pipelines and vector stores.
• Hands-on with ML libraries (PyTorch, TensorFlow) and MLOps tools (Docker, Kubernetes, MLflow).

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.

Skills

AI/ML expertise

Multi-agent systems

Healthcare domain

Cloud platforms

Python

MLOps

LangChain

LLM architectures

Data engineering

ETL pipelines

Tools

LangChain

LangGraph

CrewAI

AutoGen

Docker

Kubernetes

MLflow

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

Location: New York, NY (Onsite)

Role: AI Architect for Healthcare Agentic projects

Salary: $200-220k/Annum plus benefits

Job Description

Must Have Technical/Functional Skills

Experience

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.