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Provides inbound technical support for healthcare software clients by receiving requests, assessing and prioritizing issues, researching resolutions, documenting cases, and communicating status. Partners with clients and internal teams to resolve problems, uses knowledgebase and AI-assisted resources, maintains client satisfaction, and learns Clinisys applications and systems. Requires participation in on-call and holiday rotations, with minimal travel to client sites.

Build, deploy, operate, and improve secure AI and LLM solutions across the enterprise. Responsibilities include designing agents and workflows, integrating Microsoft and enterprise systems, modeling data, implementing RAG and APIs, developing evaluations and security controls, releasing through CI/CD pipelines, monitoring production performance, troubleshooting issues, and communicating with technical and business stakeholders.

Leads a team delivering application interfaces and interoperability solutions for customer environments. Oversees integration projects, establishes standards, provides technical guidance across design through support, manages escalations, communicates with stakeholders, and drives delivery quality and efficiency. The role also supports resource planning, performance management, customer partnerships, and adoption of standardized integration capabilities.

Leads scientific client support teams, overseeing managers, service quality, resolution performance, metrics, backlog trends, resource allocation, and continuous improvement. Builds cross-functional partnerships, influences product and regional strategy, manages talent development, and provides project oversight. The role requires rotational 24/7 on-call availability and occasional client-site travel.

Leads software implementation projects for public health, environmental, toxicology, and reference laboratory clients. Manages scope, schedules, budgets, deliverables, risks, stakeholder communication, project governance, and customer satisfaction. Coordinates cross-functional teams through implementation, validation, training, and go-live. Uses AI-enabled tools, automation, analytics, and process improvement to enhance delivery efficiency and reporting. Requires laboratory informatics knowledge, executive stakeholder management, and experience delivering complex client engagements.

Manage customer incidents and support requests for complex software applications. Investigate, troubleshoot, document, and resolve application, system, and user-reported issues while escalating complex cases when needed. Provide regular customer updates, maintain accurate support records, build strong customer relationships, and contribute to knowledge sharing and process improvement. The role requires familiarity with AI concepts and professional use of AI tools.

Sell Clinisys Laboratory Solutions to new enterprise accounts across North America. Build and execute strategic pipelines, manage CRM (NetSuite), deliver presentations, close complex deals, engage C-level stakeholders, and meet/exceed new-logo sales quotas. Travel and onboarding requirements apply.

Design, develop, and maintain automated test frameworks for Azure DevOps pipelines, GitHub Actions, infrastructure-as-code, cloud deployments, and deployment automation. Create and execute regression, functional, integration, performance, and manual tests; validate upgrades, migrations, rollbacks, and release readiness; troubleshoot pipeline and Azure issues; and improve test coverage and execution efficiency. Collaborate with DevOps, CloudOps, QA, and development teams while applying AI-assisted quality engineering practices.

Develops and prioritizes software product requirements within an Agile team. Collaborates with clients, product stakeholders, and subject matter experts to validate user needs, workflows, data flows, risks, and functional requirements. Creates process diagrams, data flowcharts, wireframes, and prototypes; presents enhancements; supports predictable delivery and quality standards. Requires commercial software development experience, strong communication skills, and familiarity with AI-enabled tools and laboratory, healthcare, or scientific software.

Lead large-scale healthcare software implementations across NHS Trusts, hospitals, and healthcare organizations. Manage projects from initiation through customer acceptance and support handover, including planning, governance, budgets, risks, issues, schedules, reporting, supplier coordination, and customer meetings. Ensure contractual, quality, and timeline compliance while improving project management processes. The role requires healthcare-sector delivery experience, PRINCE2 certification, Microsoft Project expertise, AI awareness, and UK and Ireland travel.