Senior/Lead Data Scientist / AIML Engineer/ AI Automation Engineer

Greetings of the day!!

I am Arumugam Veera, reaching out to you regarding an exciting career opportunity with Naveera Technology LLC. I would be happy to connect and discuss the opportunity further. You can also connect with me on LinkedIn:https://www.linkedin.com/in/arumugamv/

About Naveera Technology LLC

Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development, and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting, we help organizations transform raw data into actionable business value.

With a team of 100+ employees and successful delivery of 3+ global projects, Naveera serves clients across multiple industries and geographies through agile delivery models and proven engineering practices.

From Digital Health and Financial Services to E-Commerce and Technology, we support a diverse client base and back every engagement with proven frameworks, low-attrition teams, and scalable global delivery capabilities. At Naveera, we empower organizations to turn challenges into opportunities, data into insights, and innovative ideas into enterprise-grade platforms.

Specialties
Data Engineering & Modern Data Stack, Generative AI Solutions & Model Deployment, Application Development (Web, Mobile & Enterprise), Artificial Intelligence (Predictive, Conversational, Computer Vision), IT Infrastructure Services (Cloud & On-Prem), Security, DR, Cloud Transformation & Microservices, DevOps, API & Systems Integration, Extended Technology Teams & Dedicated Delivery, Real-Time Streaming & Analytics, and BI & Data Warehousing

Job Title: Senior/Lead Data Scientist / AIML Engineer/ AI Automation Engineer

Experience: 7 to 15 Years

Shift: 2:00 PM 11:30 PM IST

Job Type: Full-Time

Mode: If the resource from India then preferrbly Working from Office

Role Overview

We are seeking an experienced AI Automation Engineer/Lead to design and build enterprise-grade AI automation platforms for Healthcare and Revenue Cycle Management (RCM). The ideal candidate will have strong expertise in Python backend development, workflow orchestration, AI agent frameworks, cloud-native architecture, and enterprise integrations. This role will lead the implementation of scalable AI solutions while mentoring engineers and collaborating with cross-functional teams.

Key Responsibilities

• Lead the architecture and development of AI-driven automation platforms and intelligent workflows.
• Build scalable Python backend services (REST APIs, asynchronous processing, microservices).
• Design workflow orchestration using Temporal (or equivalent workflow engines) for long-running business processes.
• Develop AI Agents using modern LLM frameworks and AWS AI services.
• Integrate Python services with C#/.NET applications, enterprise systems, and external APIs.
• Design secure, scalable, stateful/stateless backend architectures with event-driven patterns.
• Implement authentication and authorization (OAuth2, JWT, SSO, RBAC/ABAC).
• Develop AI-powered healthcare workflows across RCM, enrollment, claims, payer/provider integrations, and document automation.
• Build Full Stack AI applications including backend APIs, workflow services, AI orchestration, and frontend integration.
• Implement AI Ops practices including monitoring, observability, model lifecycle management, logging, evaluation, and production support.
• Drive engineering best practices, code quality, CI/CD, documentation, and mentor development teams.

Tasks

Required Skills

Backend Engineering

• Python (Expert)
• FastAPI, Flask or Django
• REST APIs, WebSockets, Async Programming
• Microservices architecture
• External API integrations
• C#/.NET integration experience

Workflow & Automation

• Temporal (Preferred) or equivalent workflow orchestration
• Event-driven architecture
• Distributed processing
• Long-running workflow management
• State management

AI & Automation

• AI Agent frameworks (CrewAI, AutoGen, Semantic Kernel, LangGraph, etc.)
• LLM integration (Amazon Bedrock/OpenAI/Azure OpenAI)
• Prompt Engineering
• Guardrails
• RAG Architecture
• Vector Databases (ChromaDB, Pinecone, pgvector)
• MCP (Model Context Protocol) and AI Skills/Tooling knowledge

Security

• OAuth2
• JWT
• SSO
• RBAC / ABAC
• API Security
• Secrets Ma…