Role Description
Connect for Health has a great opportunity for an AI Developer/Engineer. As a member of the Architecture team and in direct support of the Chief Innovation Officer (CIO), the Senior AI Developer/Engineer identifies, prototypes, and helps mature emerging technologies - with an emphasis on AI, machine learning, and generative AI - to improve business processes and operational efficiency. This role leads rapid proof-of-concept development, translates concepts into clear requirements, and partners with BI, Security, Data, and Application teams to design scalable, secure, and compliant solutions. The Senior AI Developer/Engineer builds reference architectures and semantic/domain models for AI services across AWS (including Amazon Aurora/RDS PostgreSQL), Amazon Q, Snowflake Cortex, and Streamlit-based applications, and supports ongoing optimization.
Position Responsibilities
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Design, develop, and deploy AI, machine learning, and generative AI solutions to solve complex business challenges and enhance operational workflows.
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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.
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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.
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Translate validated proofs-of-concept into clear functional and non-functional requirements, user stories, acceptance criteria, and operational runbooks for production delivery.
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Build and maintain semantic/domain models (taxonomies, ontologies, and metadata standards) to improve AI search, retrieval, and analytics across Exchange data.
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Develop AI-enabled applications and demos using Streamlit and APIs (e.g., FastAPI/Flask) to support internal users and operational teams.
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Implement solutions that leverage AWS services (including Amazon Aurora/RDS PostgreSQL), Amazon Q, and Snowflake Cortex, and integrate with existing applications and infrastructure.
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Collaborate with the BI, Architecture, and Security teams to integrate AI solutions with existing systems, providing scalability, security, and compliance with organizational standards.
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Collaborate with the QA department to select AI-related testing tools and frameworks (prompt/model evaluation, regression testing) to enhance testing efficiency and accuracy.
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Develop and implement automation solutions for the QA department to streamline testing processes for AI-enabled applications.
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Develop and maintain APIs and microservices to support AI-driven applications and their integration with SaaS platforms.
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Implement and optimize machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
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Work with data engineers to ensure high-quality data pipelines for training, evaluation, and deploying AI models.
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Create and maintain detailed documentation for AI models, processes, and workflows to support internal teams and ensure knowledge transfer.
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Build and manage CI/CD pipelines for automated deployment and testing of AI solutions.
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Monitor and optimize the performance and cost of AI systems, including troubleshooting and resolving issues in production environments.
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Ensure AI solutions comply with security, privacy, and Standard Operating Procedures (SOPs), including responsible AI guardrails and audit logging.
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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.
Qualifications
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Colorado resident.
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7+ years of software engineering experience, including 3+ years delivering AI/ML and generative AI solutions in production environments.
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Proficiency in Java; experience building APIs and lightweight applications using frameworks such as FastAPI/Flask and Streamlit.
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Experience with AI/ML libraries and LLM tooling/evaluation practices (e.g., LangChain/LlamaIndex).
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3+ years of AWS experience, including IAM/security, networking, logging/monitoring, and data services (Amazon Aurora/RDS PostgreSQL).
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Experience with Snowflake, including Cortex and secure data access patterns; Snowpark experience is a plus.
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Experience with Amazon Q and RAG patterns (embeddings/vector search) and semantic/domain modeling.
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Knowledge of CI/CD pipelines, infrastructure-as-code, and automated testing for AI-enabled applications.
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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.
Work Environment
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Currently working remotely.
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The Connect for Health Colorado office is located in the North Tech Center area of Denver, near the intersection of I-25 and I-225.
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Work schedule may include some non-traditional hours, weekends, and evening events.
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Core office hours are typically 8 am-5 pm with some flexibility.
Benefits
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Connect for Health Colorado offers a competitive benefits package.
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Employees are offered a robust benefits package and may elect from various offerings to tailor a package best suited to their individual needs.
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Eligible to participate in the organization’s 403(b) plan.
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Provided with paid time off, short-term and long-term disability, and life insurance.
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The salary range for this position is $128,750 - $160,680 yearly.
To Apply
Please apply on our Career page at
https://connectforhealthco.com/about-us/employment/
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Connect for Health Colorado is an equal opportunity employer (EOE). Connect for Health Colorado may, at its discretion, conduct a background check on any workforce member and/or require job candidates to successfully complete a background check as a condition of employment.
Application Deadline
This will be posted for a minimum of 30 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. *Post date: 03/26/2026