AI Technologist

Colure Health • New York, NY

19h • $130,000 - $150,000 • Remote

About The Position

The AI Technologist designs, builds, and safely deploys AI capabilities across Colure Health’s care coordination platform. Working with the CTO and development team, the role translates care-operations challenges—including documentation burden, patient outreach, enrollment triage, and billing accuracy—into practical, measurable AI tools. The position is accountable for securing AI work involving protected health information (PHI) and meeting HIPAA and CMS program requirements.

The role develops AI features and integrations, establishes responsible-AI practices, and partners with the development team on data pipelines and MLOps. It also translates operational and leadership needs into technical requirements, trains staff on approved tools, contributes to the AI acceptable-use policy, and briefs the CTO on AI opportunities and risks.

Success measures include agreeing with the CTO on an AI use-case inventory and prioritized roadmap within 90 days, launching at least one AI tool in production with documented evaluation results and measurable care-operations time savings within six months, and maintaining zero PHI exposure through unapproved AI tools or vendors.

The position is remote from a private, secure workspace within the United States, with availability during core collaboration hours overlapping US Eastern Time and the development team. Occasional travel of under 10% is expected for team meetings. The base salary range is $130,000 to $150,000 per year. The position is also eligible for a future equity program, with grants at the company’s discretion and subject to board approval and the governing plan. Benefits information will be provided during the interview process.

Requirements

• Bachelor’s degree in computer science, data science, engineering, or a related field, or equivalent practical experience.
• At least 3 years of hands-on software or machine-learning engineering experience, including at least one AI/LLM application shipped to production.
• Strong Python skills.
• Experience with LLM APIs, embeddings, vector databases, and RAG patterns.
• Experience with a major cloud platform (AWS, Azure, or GCP), APIs, containers, and version control.
• Working knowledge of data privacy and security principles for sensitive data.
• Ability to communicate clearly and explain AI capabilities and limitations to non-technical colleagues.
• Satisfactory completion of a pre-employment background check, as permitted by applicable law, is a condition of employment.

Nice To Haves

• Experience in healthcare technology, including HIPAA-regulated environments, EHR integrations, HL7/FHIR, or claims data.
• Familiarity with CMS care management programs (CCM, RPM, TCM, BHI) or value-based care.
• Experience with speech-to-text, conversational AI, or contact-center analytics.
• Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework.

Responsibilities

• Design, prototype, and ship AI features using large language models and machine learning, including care-note summarization, call transcription and quality-assurance support, outreach prioritization, and workflow automation.
• Build retrieval-augmented generation (RAG) pipelines and integrations with Colure’s platform, EHR data, and internal knowledge bases.
• Evaluate build-versus-buy options for AI vendors and APIs, and lead technical diligence on new tools.
• Ensure AI systems that handle PHI run only on approved infrastructure with a signed Business Associate Agreement (BAA) in place, and apply de-identification where appropriate.
• Maintain an inventory of AI models and use cases, documenting intended use, data sources, limitations, and human-review requirements.
• Build evaluations and monitoring for accuracy, bias, hallucination, and drift; retain human review for outputs affecting patient care or billing.
• Partner with the development team on data pipelines, prompt and model versioning, logging, and deployment (MLOps).
• Monitor model performance, usage, and cost, and recommend optimizations.
• Translate needs from care operations, enrollment, billing, and leadership into technical requirements and roadmaps.
• Train staff on approved AI tools and contribute to Colure’s AI acceptable-use policy.
• Stay current on AI developments and relevant healthcare regulation, and brief the CTO on opportunities and risks.
• Complete HIPAA privacy and security training at hire and annually, and acknowledge workforce confidentiality policies.
• Access PHI only to the minimum necessary for assigned duties, using company-issued managed devices and approved systems.
• Immediately report suspected security incidents, privacy concerns, or policy violations to the Chief Technology Officer and Chief People and Privacy Officer.

Benefits

• Eligible for a future equity program; grants are discretionary and subject to board approval and the governing plan. Benefits information will be provided during the interview process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level