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, tool calls, and human handoffs.
- Analyze conversation data and performance metrics to improve accuracy, containment, and customer outcomes.
- Collaborate on multi-LLM orchestration strategies and integrations with APIs and enterprise tools.
- Support testing, deployment, monitoring, simulations, regression testing, and continuous improvement.
- Review production conversations to diagnose agent failures and implement fixes.
- Maintain agent documentation, test cases, and support runbooks.
- Follow enterprise security, compliance, documentation, and governance standards.
Requirements
- At least 2 years of experience building AI agents or conversational AI solutions, or experience in AI/ML or software development 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 using prompts, tool or 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.
- Experience analyzing data and using insights to improve AI performance and user outcomes.
- 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 orchestration, RAG, AI evaluation frameworks, or simulation-based testing.
- Preferred familiarity with Sierra Agent OS, Salesforce Agentforce, Google CCAI/Dialogflow, Amazon Lex/Connect, Kore.ai, Microsoft Copilot Studio, Five9, Salesforce Service Cloud, SAP, or MuleSoft APIs.
- Experience in healthcare, regulated industries, enterprise-scale environments, cloud-native application development, or cross-functional collaboration is preferred.
Benefits
- Competitive compensation package with potential annual bonus or long-term incentive opportunities.
- Hybrid or remote work arrangements subject to business and team requirements.
- Minimal travel based on business needs.
- McKesson equal employment opportunity and reasonable accommodation support.
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.