Lead AI Data Engineer & Integration Engineer

Must possess a Master's degree from a top 20 nationally ranked university.

 Rope test

Whats important:
-Orchestration (building Multi-agent systems)
-Python
-Microservices (API)
-SQL
-Google Cloud Platform

Lead AI Data Engineer & Integration Engineer
Overview
We are seeking a Lead AI Data Engineer & Integration Engineer to build enterprise integrations, agentic AI workflows, and scalable data platforms supporting the Agent IQ roadmap.
This role requires a highly technical engineer capable of designing autonomous and semi-autonomous systems that increase operational efficiency across a complex healthcare ecosystem.

Responsibilities
Design and implement enterprise integrations across pharmacy systems.
Build real-time integrations with:
RxClaim
Salesforce
SAP Finance
Pharmacy Portal
Create scalable Python microservices and APIs.
Design multi-agent AI systems.
Build orchestration frameworks and autonomous workflows.
Develop and optimize enterprise data pipelines.
Architect AI-driven operational efficiency solutions.
Lead technical decisions and mentor junior engineers.
Drive modernization and automation initiatives.
Required Skills
Core Technologies
Python
SQL
API Development
Microservices Architecture
AI Engineering
Multi-Agent Systems
Agent Orchestration
LLM Integration
Autonomous Workflow Design
Data Engineering
ETL / ELT Pipelines
Real-Time Integrations
Workflow Orchestration
Data Modeling
Cloud
Google Cloud Platform
Kubernetes
Composer
BigQuery
Enterprise Integration
REST APIs
Event-Driven Architectures
Enterprise Systems Integration
Preferred
LangGraph
LangChain
Agentic AI frameworks
MCP implementations
Healthcare, Finance, Insurance, or other highly regulated industries
Large-scale production AI deployments
Leadership Expectations
Hands-on technical lead
Able to guide junior engineers while actively coding
Strategic thinker focused on automation
Strong communicator with business and technology stakeholders