7 days ago
Mississauga, CanadaMid Level
Base Salary
$82k - $109k/yr
Responsibilities
- Design, configure, and optimize conversational AI agents within Sierra Agent OS.
- Build reusable agent reference models and design patterns for multiple business use cases.
- Develop agent experiences across voice, chat, and email channels.
- Create and optimize prompts, workflows, decision logic, guardrails, and human handoff experiences.
- Analyze conversation data and performance metrics to improve accuracy, containment, and customer outcomes.
- Collaborate with platform engineers and solution architects on multi-LLM orchestration strategies.
- Support testing, deployment, monitoring, simulations, regression testing, and continuous improvement.
- Review failed production conversations and diagnose and correct agent behavior.
- Work with integration and platform teams on APIs and tools for account lookup, order status, case creation, and appointment scheduling.
- Maintain agent documentation, test cases, and support runbooks while following security, compliance, documentation, and governance standards.
Requirements
- At least 2 years of experience building AI agents or conversational AI solutions, or software/AI development experience with hands-on agent work.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or equivalent experience.
- Hands-on experience designing, building, or tuning LLM-based agents or digital assistants, including prompts, tool/function calling, workflows, guardrails, and human handoffs.
- Experience with prompt engineering, conversational design, intent modeling, or Natural Language Understanding.
- Working knowledge of multi-step tool use, retrieval-augmented generation, agent evaluation, testing, and production failure modes.
- Knowledge of APIs, JSON, API responses, logs, and conversation transcripts.
- Familiarity with CI/CD pipelines, version control systems, and testing methodologies.
- Preferred experience with multi-agent systems, agent frameworks or SDKs, MCP-based tool integration, voice AI, chatbots, contact-center automation, multi-LLM routing, RAG, AI evaluation frameworks, healthcare or regulated industries, and conversational AI analytics or monitoring.
- Preferred familiarity with Sierra Agent OS or platforms such as Salesforce Agentforce, Google CCAI/Dialogflow, Amazon Lex/Connect, Kore.ai, or Microsoft Copilot Studio.
- Preferred experience with Tosca or custom conversational-agent test harnesses, Five9, Salesforce Service Cloud, SAP, MuleSoft APIs, and cloud-native application development.
Benefits
- Base pay range is $81,500-$108,600 annually, with potential annual bonus or long-term incentive opportunities.
- Hybrid or remote work arrangements are available subject to business and team requirements.
- Minimal travel is required based on business needs.
- McKesson offers benefits and a competitive total rewards package.
- The role requires extended computer work and virtual or in-person meetings.
Categories
About McKesson
McKesson is a public healthcare company that distributes pharmaceuticals and medical‑surgical supplies and provides pharmacy and provider technology and services. It sells to pharmacies, hospitals, health systems, and biopharma manufacturers through logistics, specialty and oncology support, pharmacy management, and healthcare IT/analytics offerings. Founded in 1833 and headquartered in Irving, Texas, it trades on the NYSE under the ticker MCK.