> Markdown version of [/jobs/ext/3039568-senior-lead-data-scientist-aiml-engineer-ai-automation-engineer](https://www.wearedevelopers.com/jobs/ext/3039568-senior-lead-data-scientist-aiml-engineer-ai-automation-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** Naveera Technology LLC
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $20,000.0 - $35,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Software Quality, Code Review, Computer Programming, Databases, Continuous Integration, Software Debugging, Distributed Computing Environment, Distributed Systems, Django Web Framework, Monitoring of Systems, Interoperability, Python (Programming Language), Key Management, PostgreSQL, Microsoft SQL Server, NoSQL, OAuth, RabbitMQ, Role-Based Access Control, Redis, Software Deployment, Systems Integration, Web Application Frameworks, WebSocket, Workflow Management Systems, Data Logging, Enterprise Software Applications, ReactJS, Fast Healthcare Interoperability Resources, Flask (Web Framework), Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Software Security, Backend, Git, Fastapi, Event Driven Architecture, Build Management, AI Platforms, Kubernetes, Playwright, Health Level Seven International, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Virtual Agents, Restful APIs, Terraform, Artificial Intelligence Markup Language (AIML), GPT, Api Management, Docker, Databricks, Web Api, Microservices
- **Published:** September 23, 2026
- **Apply:** https://www.careerjet.com/job/us8cc7af0331494615f299cd2a2f4cb036/eaa

## About the Role

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 Management

Cloud & AI Ops

 * AWS (Preferred) or Azure
 * Docker
 * Git
 * CI/CD Pipelines
 * Monitoring & Logging
 * AI Ops, Model Monitoring, Observability
 * Production Deployment & Support

Databases

 * SQL Server / PostgreSQL / Redshift
 * Redis
 * NoSQL Databases
 * Vector Databases, * Experience building enterprise AI automation platforms.
 * Healthcare domain knowledge with Revenue Cycle Management (RCM), Claims, Eligibility, Enrollment, Prior Authorization, or Provider/Payer workflows.
 * Strong 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.

Nice to Have

 * Kubernetes
 * Kafka / RabbitMQ
 * GraphQL
 * Playwright / Browser Automation
 * Terraform / Infrastructure as Code
 * Snowflake, Databricks
 * MLflow or Model Lifecycle Management
 * React or modern frontend frameworks
 * Healthcare interoperability standards (FHIR/HL7)

## Description

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


## Related Videos

- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands)
- [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)