Note: The job is a remote job and is open to candidates in USA. Resmed is focused on evolving customer support through AI-driven operations. The Senior AI Solutions Engineer will implement and optimize AI capabilities to enhance customer support efficiency and effectiveness.
Responsibilities
- Partner with support management to identify, prioritize, and execute automation opportunities
- Identify and recommend automation opportunities across the customer support lifecycle
- Configure, implement, and optimize AI-driven capabilities
- Support testing, validation, and iteration of AI solutions to ensure reliability and effectiveness in production
- Act as a hands-on operational SME, focused on improving how AI is applied within day-to-day support workflows
- Recommend success metrics and continuously monitor performance of AI and optimize based on results
- Leverage all related data sources to:
- Track customer journeys across touchpoints
- Analyze customer usage and engagement patterns
- Identify opportunities to improve adoption, engagement, and efficiency
- Translate insights into actionable changes and targeted adjustments, including workflow updates, model tuning, and automation enhancements
- Create repeatable frameworks for evaluating and scaling new AI use cases
- Translate operational needs into technical requirements and solutions
- Troubleshoot and resolve issues with AI tools, workflows, and integrations in sandbox and production environments
- Monitor and optimize AI agent performance using analytics and QA tools to ensure accuracy, efficiency, and continuous improvement
- Partner with support management to execute against defined priorities and deliver solutions at scale
- Document configurations, processes, and operational best practices of AI solutions to support scalability and consistency
- Act as a hands-on subject matter expert, driving continuous improvement in AI-enabled support operations
Skills
- Demonstrated experience applying AI, automation, or advanced technologies in a live operational or business environment, including direct ownership of use cases such as: Implementing AI-driven workflows (e.g., case routing, classification, summarization, or self-service automation)
- Deploying or optimizing conversational AI (e.g., virtual agents, copilots, or guided interactions) in production environments
- Integrating AI solutions across platforms (e.g., CRM, knowledge, community, or data layers) to drive end-to-end workflow improvements
- Measuring impact through defined KPIs (e.g., deflection, handle time reduction, agent productivity, or adoption) and iterating based on results
- Scaling solutions beyond pilot phases into repeatable, governed processes across teams
- Hands-on experience with enterprise AI platforms such as Salesforce Agentforce, Data360, including configuration, optimization, and performance monitoring in a production environment
- Experience operating AI solutions within defined governance models, including quality thresholds, risk management, and ongoing performance accountability
- Strong understanding of system workflows, integrations, and data-driven decision making
- Experience working across multiple platforms and understanding system interdependencies
- Familiarity with AI-driven capabilities such as search, classification, summarization, or conversational systems
- Experience working within or supporting customer service or operations environments
- Strong understanding of support workflows, agent experience, and self-service design principles
- Ability to identify opportunities to improve efficiency, scalability, and customer experience through automation
- Ability to analyze complex, ambiguous problems and develop scalable, effective solutions
- Experience monitoring performance metrics and evaluating outcomes to drive continuous improvement
- Strong critical thinking skills, including evaluating trade-offs and adapting approaches based on results
- Ability to think across end-to-end workflows and understand how systems interact
- Experience optimizing processes and improving performance over time - not just initial implementation
- Experience identifying new opportunities for automation and operational efficiency
- Strong communication skills with the ability to translate technical concepts into business impact
- Ability to operate with autonomy in a fast-paced, collaborative, customer-focused environment
- Bachelor's degree or equivalent experience in Computer Science, Engineering, Data, or a related field
- Salesforce Agentforce Certification
- Experience working in a remote environment
Company Overview
Company H1B Sponsorship