7 days ago
Mississauga, CanadaSenior
Base Salary
$66k - $88k/yr
Responsibilities
- Design, configure, and optimize conversational AI agents within Sierra Agent OS.
- Build reusable agent reference models, patterns, workflows, prompts, decision logic, and handoff experiences.
- Develop agent experiences across voice, chat, and email channels.
- Analyze conversation data and performance metrics to improve accuracy, containment, and customer outcomes.
- Collaborate on multi-LLM orchestration, API and tool integrations, and failure-handling behavior.
- Support agent simulations, regression testing, deployment, monitoring, production review, and continuous improvement.
- Maintain agent documentation, test cases, and service desk and L3 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 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, including prompts, tool and 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 and testing, and production failure modes.
- Knowledge of APIs, JSON, software development practices, API responses, logs, and conversation transcripts.
- Familiarity with CI/CD pipelines, version control systems, and testing methodologies.
- Strong problem-solving, communication, and cross-functional collaboration skills.
- Preferred experience includes multi-agent systems, LangGraph, OpenAI Agents SDK, Bedrock Agents, Vertex Agent Builder, MCP-based tool integration, Sierra Agent OS, Salesforce Agentforce, Google CCAI/Dialogflow, Amazon Lex/Connect, Kore.ai, Microsoft Copilot Studio, voice AI, contact-center automation, AI evaluation frameworks, Tosca, Five9, Salesforce Service Cloud, SAP, MuleSoft APIs, and cloud-native integration patterns.
Benefits
- Base pay range is $66,200-$88,300 per year, with potential annual bonus or long-term incentive opportunities; the range varies by performance, experience, skills, equity, market evaluations, and geography.
- McKesson offers benefits as part of its Total Rewards package.
- The role supports equal employment opportunity and reasonable accommodations for applicants with disabilities.
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.