AI Developer/Engineer
Listed on 2026-06-04
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Software Development
AI Engineer
Overview
Connect for Health has a great opportunity for an AI Developer/Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado General Assembly in 2011 to create a health insurance Marketplace. Since 2013, we’ve been helping individuals, families, and small employers compare plans, apply for financial help, and buy health insurance. As Colorado’s official health insurance marketplace, we are the only place to apply for financial help to lower the monthly cost of premiums.
Customers can shop online; get help by phone or online chat from Customer Service Center representatives; and access expert help from a statewide network of certified Brokers and community-based Assisters. Our mission is to increase access, affordability, and choice for individuals and small employers purchasing health insurance in Colorado.
As a member of the Architecture team, the AI Developer/Engineer supports the Senior AI Developer/Engineer and partners with cross-functional teams to design, develop, and enhance AI and machine learning capabilities that improve internal operations and staff productivity. This role focuses on delivering incremental improvements, prototypes, and staff-facing tools (including Streamlit-based applications), implementing retrieval-augmented generation (RAG) patterns, and integrating solutions with AWS services, Amazon Q (as applicable), and Snowflake (including Cortex where appropriate).
The AI Developer/Engineer contributes to secure, responsible, and maintainable AI-enabled applications through documentation, testing, monitoring, and continuous optimization.
- Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer support.
- Collaborate with business owners and technical teams to gather requirements, document user stories/acceptance criteria, and translate needs into implementable AI/ML solutions.
- Develop and enhance internal AI-enabled applications and demos using Streamlit and related web frameworks for knowledge assistance, workflow automation, and analytics.
- Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration.
- Integrate AI applications with AWS services and data platforms, including Amazon Aurora/RDS Postgre
SQL, S3, and approved AI services; follow security and access control standards. - Use Snowflake (including Snowflake Cortex where appropriate) to support AI/ML workloads, data preparation, and secure data access patterns.
- Leverage Amazon Q (as applicable) and related enterprise assistant patterns to support internal users and knowledge discovery.
- Contribute to semantic/domain models (taxonomies, metadata, reference data) that improve retrieval quality and reporting.
- Write clean, testable Java code; build APIs/services; and contribute to CI/CD pipelines and automated testing.
- Monitor AI application performance (quality, latency, cost) and assist with troubleshooting, incident response, and continuous improvement.
- Ensure responsible AI practices: privacy, PII/PHI handling, bias awareness, auditability, and documentation; follow SOPs and security policies.
- Participate in IT operations activities (standups, change management, documentation, knowledge transfer) and support end users with training and adoption.
- Colorado resident.
- 3+ years of software engineering or data engineering experience, including building production Java applications.
- Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work, projects, or equivalent experience.
- Experience building lightweight web apps or APIs using Streamlit, FastAPI/Flask, or similar frameworks.
- Working knowledge of AWS (IAM, S3, logging/monitoring, and common deployment patterns); experience with Postgre
SQL/Aurora/RDS preferred. - Experience with SQL and data platforms; familiarity with Snowflake and Snowflake Cortex is a plus.
- Familiarity with version control (Git), CI/CD, and automated testing practices.
- Unders…
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