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AI Success Specialist
Job in
New York City, Richmond County, New York, USA
Listed on 2026-02-17
Listing for:
Kontakt
Full Time
position Listed on 2026-02-17
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst
Job Description & How to Apply Below
New York, New York
Operations /
Fulltime /
Remote
Apply for this job
Kontakt.io is transforming how hospitals operate by combining EHR data with real-time location systems (RTLS), workflow intelligence, and AI orchestration to solve some of healthcare's most complex operational challenges. Our customers include leading health systems that rely on us to improve patient flow, staff safety, asset utilization, and care delivery outcomes.
We are now entering a new chapter: deploying AI agents that actively orchestrate hospital workflows, integrate with EHRs, and continuously learn from real-world operations. This requires a new kind of Customer Success specialist: one who is comfortable operating in ambiguity, shaping best practices, and helping hospitals safely and effectively adopt AI-driven systems.
The Opportunity
This is the inaugural role in our new Clinical AI Operations practice. You will be the primary partner to our earliest AI customers, guiding them from initial deployment through long-term optimization. Your work will span EHR integration context, hospital workflow understanding, AI agent training and guardrail tuning, and post-deployment performance assessment.
You will not inherit a fully defined playbook - you will help write it.
What You'll Do
* Technical Delivery & Integration Stewardship
* Own the operational health of Epic and Service Now integrations during deployment, ensuring data is accurate, reliable, and actionable within hospital systems
* Serve as the primary point of ownership when workflows break or AI behavior degrades
* Triage issues by isolating root causes across hardware, integrations, data feeds, and clinical workflows
* Act as a "PHI firewall" for Engineering by validating bugs and issues using US-compliant workflows
* Escalate platform issues to European development teams with clear, sanitized, reproducible context
Customer Adoption & AI Enablement Lead post-implementation adoption of Kontakt.io's AI orchestration products across hospital environments
Translate each health system's unique "way of working" into AI agent configurations, integration logic, and guardrail adjustments
Partner closely with clinical, operational, IT, and digital transformation stakeholders across departments
Drive alignment between technology, workflows, and real-world operational goals
AI Training, Monitoring & Optimization Guide initial AI agent training, validation, and go-live readiness during early rollout
Conduct structured adoption and performance check-ins at ~90-day and ~180-day milestones
Monitor unsupervised learning outcomes to identify drift, performance gaps, or unintended behaviors
Collaborate with Product, Engineering, and AI teams to refine models, workflows, and guardrails
Help customers build trust and confidence in AI-supported decision-making
EHR & Workflow Context Work alongside integration and product teams to ensure AI agents align with EHR data flows and operational realities
Develop a deep understanding of how patient flow, staffing, and operational signals interact across departments (ED, inpatient, perioperative, etc.)Ensure AI outputs make sense in the context of real hospital constraints and workflows
Practice Building & Thought Leadership Define best practices, frameworks, and internal standards for AI-driven customer success
Create repeatable onboarding, training, and optimization methodologies
Serve as the blueprint for a future AI-focused Customer Success function
Act as a real-world feedback loop to Product, Engineering, and AI teams based on hospital usage and outcomes
Who You Are
* 7+ years in healthcare-facing roles (Clinical Operations, Healthcare IT, Health System Analytics, or Consulting)
* Direct experience working inside hospitals and across multiple departments and stakeholder types
* Strong preference for experience in patient flow, throughput, staffing, or operational transformation
* Technical literacy (required):
* Familiarity with EHR ecosystems (Epic, Cerner, Meditech)
* Ability to query basic SQL, read API logs, and understand HL7/FHIR concepts
* Comfortable "looking under the hood" beyond traditional CSM responsibilities
Mindset & Skills
Highly…
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