Senior AI Developer/Engineer

Connect for Health Colorado is a public, non-profit entity focused on improving health insurance access in Colorado. The Senior AI Developer/Engineer will identify and prototype emerging AI technologies to enhance business processes and operational efficiency, leading rapid proof-of-concept development and collaborating with various teams to design scalable solutions.

Responsibilities:

• Design, develop, and deploy AI, machine learning, and generative AI solutions to solve complex business challenges and enhance operational workflows
• Partner with the Chief Innovation Officer (CIO) and stakeholders to identify, prioritize, and scope AI/ML/GenAI use cases; define success criteria and proof-of-concept plans
• Prototype and deliver proofs-of-concept for emerging AI technologies, including large language models (LLMs), natural language processing (NLP), retrieval-augmented generation (RAG), and predictive analytics
• Translate validated proofs-of-concept into clear functional and non-functional requirements, user stories, acceptance criteria, and operational runbooks for production delivery
• Build and maintain semantic/domain models (taxonomies, ontologies, and metadata standards) to improve AI search, retrieval, and analytics across Exchange data
• Develop AI-enabled applications and demos using Streamlit and APIs (e.g., FastAPI/Flask) to support internal users and operational teams
• Implement solutions that leverage AWS services (including Amazon Aurora/RDS PostgreSQL), Amazon Q, and Snowflake Cortex, and integrate with existing applications and infrastructure
• Collaborate with the BI, Architecture, and Security teams to integrate AI solutions with existing systems, providing scalability, security, and compliance with organizational standards
• Collaborate with the QA department to select AI-related testing tools and frameworks (prompt/model evaluation, regression testing) to enhance testing efficiency and accuracy
• Develop and implement automation solutions for the QA department to streamline testing processes for AI-enabled applications
• Develop and maintain APIs and microservices to support AI-driven applications and their integration with SaaS platforms
• Implement and optimize machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment
• Work with data engineers to ensure high-quality data pipelines for training, evaluation, and deploying AI models
• Create and maintain detailed documentation for AI models, processes, and workflows to support internal teams and ensure knowledge transfer
• Build and manage CI/CD pipelines for automated deployment and testing of AI solutions
• Monitor and optimize the performance and cost of AI systems, including troubleshooting and resolving issues in production environments
• Ensure AI solutions comply with security, privacy, and Standard Operating Procedures (SOPs), including responsible AI guardrails and audit logging
• Provide technical guidance and mentorship on AI/ML best practices and provide emergency response for AI system issues through on-call support and monitoring escalations

Requirements:

• Colorado resident
• 7+ years of software engineering experience, including 3+ years delivering AI/ML and generative AI solutions in production environments
• Proficiency in Java; experience building APIs and lightweight applications using frameworks such as FastAPI/Flask and Streamlit
• Experience with AI/ML libraries and LLM tooling/evaluation practices (e.g., LangChain/LlamaIndex)
• 3+ years of AWS experience, including IAM/security, networking, logging/monitoring, and data services (Amazon Aurora/RDS PostgreSQL)
• Experience with Snowflake, including Cortex and secure data access patterns
• Experience with Amazon Q and RAG patterns (embeddings/vector search) and semantic/domain modeling
• Knowledge of CI/CD pipelines, infrastructure-as-code, and automated testing for AI-enabled applications
• Strong problem-solving and communication skills; ability to work under deadlines and during incident response/on call; ability to translate concepts into clear requirements
• bachelor's degree (or equivalent experience) preferred
• Snowpark experience is a plus