Sage Care

Artificial Intelligence

• Own end-to-end customer implementation from kickoff through go-live and early adoption
• Architect and continuously improve implementation frameworks, playbooks, timelines, and best practices
• Serve as the strategic partner to customers during onboarding, aligning product capabilities with clinical/workflow needs
• Lead technical implementation efforts including integrations, data mapping, and configuration in collaboration with Product/Engineering
• Establish and manage rollout plans, training programs, and measurable success criteria
• Identify risks, manage escalations, and ensure strong cross-functional communication
• Create repeatable processes that support scaling from a handful of customers to dozens
• Set quality standards and develop tools to improve consistency and efficiency
• Develop trusted relationships with clinical, operational, and technical stakeholders at customer organizations
• Act as a subject matter expert on workflow redesign, change management, and clinical adoption of AI solutions
• Translate customer insights into product requirements, feature requests, and roadmap priorities
• Implement KPIs and dashboards to track implementation timelines, satisfaction, adoption, and ROI
• Design scalable processes for integrations, data ingestion pipelines, and environment configuration
• Drive continuous improvement and operational rigor as the company grows
• Evaluate and implement tools for project management, training, and analytics
• Strong communication skills are critical in engaging with partners to uncover their pain points and translate them into clear, actionable solutions.
• Collaborate with partners to brainstorm and develop solutions to their challenges, ensuring alignment with their business goals and technical requirements.
• Work closely with Product and Engineering teams to relay partner feedback, influencing product improvements and ensuring alignment with partner needs.

AI Launch Specialist

AI Engineer

• Design and own AI agent architecture (orchestration, tool use, control flow)
• Build systems that enable agents to operate reliably across real-world interactions
• Develop and improve evaluation frameworks for agent quality and behavior
• Debug and resolve complex issues in production (edge cases, failures, regressions)
• Optimize performance across the stack (latency, cost, reliability)
• Define patterns and best practices for building and operating AI agents
• Mentor engineers and raise the bar on AI systems design and execution

AI Launch Specialist

Staff AI Engineer, Voice Agents