Implementation Operations Engineer – AI Solutions

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Komodo Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $220M Series E on 2021-03

Healthcare • Consulting • Logistics

Komodo Health is a data-driven healthcare technology company that leverages comprehensive patient-encounter data, innovative algorithms, and clinical expertise to transform healthcare challenges into meaningful insights. With their Healthcare Map, Komodo Health provides a precise view of the U. S. healthcare system, offering software applications such as MapExplorer™, MapAI™, Komodo Drug Projections, and more to improve clinical, commercial, and patient engagement outcomes. Their solutions help quantify scientific engagement, mine insights from patient journeys, and enhance the precision of healthcare strategies, ultimately reducing the burden of disease and advancing technology use in healthcare.

📋 Description

• Own end-to-end implementation operations, including customer onboarding, recurring data deliveries, production workflows, and operational support • Support AI-enabled implementations and onboarding with technical and cross-functional teams • Execute and validate production deliveries while maintaining data quality, timeliness, documentation, and customer impact standards • Collaborate with Product, Engineering, DPQ, Customer Success, and Technical Engagement to resolve issues and deliver customer outcomes • Use GenAI tools and AI capabilities to improve productivity and technical workflows • Drive automation, documentation, and process improvements to make implementation operations more scalable and reliable • Independently manage customer implementations and recurring deliveries • Contribute to AI and Implementation Operations playbooks, documentation, and repeatable operating processes

🎯 Requirements

• Strong SQL and data fundamentals • Ability to investigate data, validate outputs, and troubleshoot delivery workflows • Curiosity and aptitude to learn AI technologies and AI-enabled implementation workflows • Experience working with APIs, cloud platforms, or modern data ecosystems • Strong ownership, communication, and stakeholder management skills across technical and non-technical partners • Comfort working through ambiguity, learning new systems, and taking initiative to solve problems • Thoughtful use of GenAI tools with appropriate judgment, validation, and data-handling practices • Nice-to-have: experience with Snowflake, AWS, Python, or Airflow • Nice-to-have: healthcare or Life Sciences industry experience • Nice-to-have: SaaS implementation or technical onboarding experience • Nice-to-have: familiarity with GenAI tools and AI-enabled workflows

🏖️ Benefits

• Remote work arrangement • Hybrid work model with flexibility, depending on role setup • AI-enabled tools and workflows integrated into daily work • Equal employment opportunities and nondiscrimination protections