Healthcare Agentic AI Architect & Multi-Agent Leader

Tata Consultancy Services Limited; New York (NY); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage (Health, Dental, Vis,

Parental Leaves

401K Plan

Certification & Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services Limited in New York, NY is seeking an Enterprise Architect to lead the design and delivery of agentic AI solutions for healthcare clients. The role requires deep expertise in multi-agent systems, LLM orchestration, and cloud-native AI infrastructure.

You will guide cross-functional teams, shape architectural strategy, and ensure governance and security across deployments while advancing AI innovation. Strong leadership and healthcare domain knowledge are essential.

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 experience in the healthcare industry, with a deep understanding of clinical workflows.
• RCM, data standards (HL7, FHIR), and regulated environments.

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

Artificial Intelligence

Machine Learning

Education

Bachelor of Computer Science

Tools

Docker

Kubernetes

MLflow

Job description

Tata Consultancy Services Limited in New York, NY is seeking an Enterprise Architect to lead the design and delivery of agentic AI solutions for healthcare clients. The role requires deep expertise in multi-agent systems, LLM orchestration, and cloud-native AI infrastructure.

You will guide cross-functional teams, shape architectural strategy, and ensure governance and security across deployments while advancing AI innovation. Strong leadership and healthcare domain knowledge are essential.