Senior Engineer I, AI Analytics

Description

From intake to outcomes, CareMetx is dedicated to delivering industry-leading patient access solutions and support services that help patients quickly start and stay on specialty therapy treatments. We provide scalable, efficient digital hub services for pharmaceutical companies and healthcare providers, streamlining workflows with seamless integration for patient enrollment, consent, and prior authorization. Our best-in-class patient support services enhance every step of care, connecting patients, providers, and brands to drive better outcomes and accelerate time-to-therapy. 

Job Title: Senior Engineer I, AI Analytics

POSITION SUMMARY:

 

We're looking for a software engineer who thinks like a product builder to design and develop our next-generation AI-based data insights and analytics platform. You'll architect and build real-time data infrastructure and high-performance jobs that power intelligent, actionable insights for our organization.

This is a transformational role. While you'll maintain our existing data warehouse during the migration, your primary focus will be building the future—a modern, AI-native analytics platform from the ground up. You'll work at the intersection of software engineering, data architecture, and AI to create systems that don't just store data, but actively generate insights and drive decision-making.

If you're a builder who loves solving complex problems, designing elegant systems, and leveraging cutting-edge AI tools to deliver exceptional outcomes, we want to hear from you.

 PRIMARY DUTIES AND RESPONSIBILITIES:

 

Build Next-Gen AI-Based Analytics Platform

• Design and develop an AI-native data insights and analytics platform that delivers real-time, intelligent insights to business stakeholders.
• Integrate AI agents, LangChain, LangGraph, and other AI frameworks as core platform capabilities, not afterthoughts.
• Build APIs and microservices that power analytics features and serve insights to end users.
• Create user-facing analytics capabilities that are intuitive, fast, and powered by AI.

1. Architect Real-Time Data Infrastructure

• Design and implement real-time data pipelines using streaming technologies (Kafka, AWS Kinesis, etc.).
• Build event-driven architectures that process and analyze data as it arrives.
• Create high-performance data processing jobs optimized for speed and scalability.
• Ensure data flows are reliable, monitored, and self-healing.

1. Software Engineering Excellence

• Apply software engineering best practices: clean code, testing, CI/CD, version control, code reviews.
• Write production-grade Python and SQL code that is maintainable, testable, and well-documented.
• Design systems with scalability, observability, and reliability in mind.
• Build with modern development practices and tools.

1. Innovation and Problem-Solving

• Proactively identify inefficiencies, gaps, and opportunities for improvement in data systems and processes.
• Experiment with new technologies and approaches to solve complex data challenges.
• Drive innovation by proposing and implementing creative solutions.
• Take ownership of problems and see them through to resolution—be a self-starter who doesn't wait to be told what to do.

1. Migration and Maintenance

• Support and maintain existing data warehouse infrastructure during the transition period.
• Plan and execute migration strategies from legacy systems to the new platform.
• Ensure business continuity while building the future state architecture.

1. Collaboration and Leadership

• Work closely with data analysts, data scientists, product managers, and business stakeholders to understand needs and translate them into technical solutions.
• Mentor junior engineers and contribute to the growth of the data engineering practice.
• Communicate technical concepts clearly to both technical and non-technical audiences.

1. Leverage AI for Development

• Use AI tools (including Claude, GitHub Copilot, etc.) to accelerate development and improve productivity—we care about outcomes, not how you get there.
• Stay current with AI/ML advancements and identify opportunities to leverage them in the platform and in your workflow.
• Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled.
• Performs any other duties as assigned by management.

Qualifications

EXPERIENCE AND EDUCATIONAL REQUIREMENTS:

• Bachelor's or Master's degree in Computer Science, Informati