Senior Artificial Intelligence, Machine Learning Engineer – Lead, Architect

Jobtailor

Madurai District

On-site

INR 3,000,000 - 6,000,000

Full time

9 days ago

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Job summary

Jobtailor in India is seeking a senior backend architect to lead AI-driven automation platforms for healthcare workflows. You will build scalable Python services, REST APIs, and microservices, and design ongoing workflow orchestration.

You will mentor engineers, drive CI/CD, and modernize data platforms with ETL pipelines and Data Lakehouse concepts, while integrating AI solutions for enterprise applications.

Qualifications

7 to 15 years of experience.
Expert Python backend engineering skills.
Experience with FastAPI, Flask, or Django.
REST APIs, WebSockets, and asynchronous programming.
Microservices architecture.
External API integrations.
C#/.NET integration experience.
Temporal or equivalent workflow orchestration.
Event-driven architecture.
Distributed processing.
Long-running workflow management.
State management.
AI agent frameworks such as CrewAI, AutoGen, Semantic Kernel, or LangGraph.
LLM integration with Amazon Bedrock, OpenAI, or Azure OpenAI.
Prompt engineering.
Guardrails.
RAG architecture.
Vector databases including ChromaDB, Pinecone, or pgvector.
MCP (Model Context Protocol) and AI skills/tooling knowledge.
OAuth2, JWT, SSO, RBAC/ABAC, API security, and secrets management.
AWS or Azure.
Docker, Git, and CI/CD pipelines.
Monitoring, logging, AI Ops, model monitoring, observability, production deployment, and support.
SQL Server, PostgreSQL, Redshift, Redis, NoSQL databases.
Experience building enterprise AI automation platforms.
Healthcare domain knowledge with RCM, claims, eligibility, enrollment, prior authorization, or provider/payer workflows.
Understanding of distributed systems and scalable backend architecture.
Experience integrating AI solutions into existing enterprise applications.
Strong debugging, architecture, and problem-solving skills.
Experience leading technical teams, conducting code reviews, and mentoring engineers.
Experience delivering production-grade Full Stack AI applications.

Responsibilities

Lead architecture and development of AI-driven automation platforms.
Build scalable Python backends and REST APIs.
Design workflow orchestration for long-running processes.
Develop AI agents using modern frameworks and cloud services.
Integrate Python services with .NET applications and external APIs.
Mentor engineers and drive engineering best practices.
Lead modernization of data platforms and BI solutions.

Skills

Python backend

AI agent frameworks

Microservices architecture

Healthcare domain knowledge

Event-driven architecture

Tools

FastAPI

Flask

Django

REST APIs

Docker

Git

CI/CD

SQL Server

PostgreSQL

Redshift

Redis

NoSQL Databases

Job description

Lead the architecture and development of AI-driven automation platforms and intelligent workflows
Build scalable Python backend services, REST APIs, asynchronous processing, and microservices
Design workflow orchestration for long-running business processes using Temporal or equivalent engines
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 using 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 with 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, and documentation
Mentor engineers and collaborate with cross-functional teams
Lead modernization of data platforms, ETL pipelines, analytics ecosystems, Data Lakehouse architectures, and Business Intelligence solutions

Requirements

7 to 15 years of experience
Expert Python backend engineering skills
Experience with FastAPI, Flask, or Django
REST APIs, WebSockets, and asynchronous programming
Microservices architecture
External API integrations
C#/.NET integration experience
Temporal or equivalent workflow orchestration
Event-driven architecture
Distributed processing
Long-running workflow management
State management
AI agent frameworks such as CrewAI, AutoGen, Semantic Kernel, or LangGraph
LLM integration with Amazon Bedrock, OpenAI, or Azure OpenAI
Prompt engineering
Guardrails
RAG architecture
Vector databases including ChromaDB, Pinecone, or pgvector
MCP (Model Context Protocol) and AI skills/tooling knowledge
OAuth2, JWT, SSO, RBAC/ABAC, API security, and secrets management
AWS or Azure
Docker, Git, and CI/CD pipelines
Monitoring, logging, AI Ops, model monitoring, observability, production deployment, and support
SQL Server, PostgreSQL, Redshift, Redis, NoSQL databases, and vector databases
Experience building enterprise AI automation platforms
Healthcare domain knowledge with RCM, claims, eligibility, enrollment, prior authorization, or provider/payer workflows
Understanding of distributed systems and scalable backend architecture
Experience integrating AI solutions into existing enterprise applications
Strong debugging, architecture, and problem-solving skills
Experience leading technical teams, conducting code reviews, and mentoring engineers
Experience delivering production-grade Full Stack AI applications

Core Competencies

Demonstrates expertise in Python backend engineering, AI-driven automation, and scalable architecture design. Proficient in integrating AI solutions within healthcare workflows and leading technical teams to deliver production-grade applications.

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