Senior AI Architect

Tech Mahindra Americas • Dallas, TX

1d • Remote

About The Position

We are seeking an experienced Senior AI Architect to join a dynamic engineering team responsible for developing and scaling a production-grade healthcare conversational AI platform. The role focuses on backend service development, AI agent workflows, and system integrations that support patient-facing conversational experiences. The ideal candidate has a strong background in AI/ML engineering, particularly in healthcare applications.

Requirements

• A minimum of five years of professional software development experience.
• Strong proficiency in Python, with demonstrated production experience using FastAPI or comparable asynchronous frameworks.
• Hands-on experience with LLM orchestration frameworks such as LangGraph, PydanticAI, or equivalent systems.
• Solid understanding of prompt engineering, retrieval augmented generation (RAG) patterns, and AI guardrails.
• Experience with Azure cloud services, including Cosmos DB, Azure Key Vault, and App Configuration.
• Familiarity with Docker, CI/CD pipelines such as GitHub Actions, and containerized deployments.
• Strong knowledge of JWT/OAuth authentication mechanisms and best practices for securing Apigee APIs.
• Ability to operate effectively in a small, fast-paced team environment with a high degree of ownership.

Nice To Haves

• Experience within the healthcare domain, including HIPAA regulation, HL7 (Health Level Seven), and FHIR (Fast Healthcare Interoperability Resources) integrations.
• Experience with PydanticAI and structured LLM output validation.
• Familiarity with OpenTelemetry and observability tooling.

Responsibilities

• Design, develop, and maintain backend APIs and services using Python 3.12 and FastAPI.
• Develop and enhance multi-agent AI orchestration workflows using LangGraph, LangChain, or PydanticAI.
• Integrate and optimize large language model providers, including OpenAI, Anthropic, and Google GenAI.
• Work with Azure services such as Cosmos DB, App Configuration, Key Vault, Event Hubs, and Application Insights.
• Develop and maintain task handlers for domain-specific workflows, such as care tasks, medications, and scheduling.
• Implement input and output guardrails, prompt-engineering techniques, and AI safety patterns.
• Collaborate on architectural decisions, code reviews, and production support activities.
• Develop and maintain automated test suites using pytest.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed