Digital Agent Developer

McKesson is an impact-driven Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights products and services that make quality care more accessible and affordable. Here we focus on the health happiness and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow make an impact and are empowered to bring new ideas. Together we thrive as we shape the future of health for patients our communities and our people. If you want to be part of tomorrows health today we want to hear from you.

McKesson is transforming healthcare experiences through AI-powered digital agents. As a Sr. Associate Digital Agent Developer you will design build test and continuously improve conversational AI solutions that support customers and business teams across voice chat and email channels.

You will work within the Sierra Agent OS ecosystem to create reusable agent patterns optimize customer interactions and improve AI performance through testing analytics and iterative tuning. This role partners closely with platform engineers solution architects and business stakeholders to deliver scalable secure and effective AI-powered experiences.

This role sits on McKessons Contact Center AI team which is using AI and digital agent capabilities to transform and improve the end-to-end customer journey across voice chat and email for McKessons businesses. The team designs builds and runs digital agents on Sierra Agent OS and connects them to the contact center and enterprise systems around them. This is the role where new agents and new capabilities get built and existing ones get better. Sierra is a new platform so hands-on Sierra experience is a plus not a requirement; we will ramp you on it. What we do need is real experience building AI agents: prompts tool calling handoffs testing and the judgment to know when an agent is wrong.

• Design configure and optimize conversational AI agents within Sierra Agent OS.
• Build reusable reference models and design patterns for multiple business use cases.
• Develop and refine agent experiences across voice chat and email channels.
• Analyze conversation data and performance metrics to improve accuracy containment and customer outcomes.
• Create and optimize prompts workflows decision logic and handoff experiences.
• Collaborate with platform engineers and solution architects on multi-LLM orchestration strategies.
• Support testing deployment monitoring and continuous improvement of AI agent solutions.
• Run agent simulations and regression tests before each release and review production conversations where the agent fell short to find the cause and fix it.
• Work with the integration and platform teams on the APIs and tools the agents call (account lookup order status case creation appointment scheduling) and on how the agent should behave when those calls fail.
• Maintain agent documentation test cases and the support runbooks that the service desk and L3 support teams rely on.
• Follow enterprise security compliance documentation and governance standards.

• 2 years of experience building AI agents or conversational AI solutions (LLM-based assistants chatbots voicebots) or in AI/ML or software development with hands-on agent work.
• Bachelors degree in Computer Science Engineering Information Technology Data Science or equivalent experience.
• Hands-on experience designing building or tuning LLM-based AI agents or digital assistants including prompts tool and function calling workflows guardrails and handoff to a human agent.
• Hands-on experience with prompt engineering conversational design intent modeling or Natural Language Understanding (NLU).
• Working knowledge of agentic AI patterns: multi-step tool use retrieval (RAG) evaluation and testing of agents and the ways an agent can fail in production. This can come from any agent platform; Sierra experience is a plus not a requirement.
• Experience analyzing data and leveraging insights to improve AI performance and user outcomes.
• Knowledge of APIs JSON and modern software development practices including the ability to read API responses logs and conversation transcripts to work out why an agent behaved the way it did.
• Familiarity with CI/CD pipelines version control systems and testing methodologies.
• Strong problem-solving communication and cross-functional collaboration skills.

• Experience with multi-agent systems agent frameworks or SDKs (e.g. LangGraph OpenAI Agents SDK Bedrock Agents Vertex Agent Builder) or MCP-based tool integration.
• Hands-on experience with Sierra Agent OS (a new platform; we will train the right candidate) or with other agent platforms such as Salesforce Agentforce Google CCAI/Dialogflow Amazon Lex/Connect or Microsoft Copilot Studio.
• Hands-on experience with voice AI chatbots virtual assistants or customer-service automation solutions.
• Knowledge of multi-LLM routing orchestration retrieval-augmented generation (RAG) or AI evaluation frameworks.
• Experience in healthcare regulated industries or enterprise-scale environments.
• Exposure to analytics and monitoring tools used to evaluate conversational AI performance.
• Experience with simulation-based or automated testing of conversational agents (e.g. Tosca or custom test harnesses).
• Familiarity with the systems a contact center agent typically integrates with: Five9 or another CCaaS platform Salesforce Service Cloud SAP or MuleSoft APIs.
• Experience collaborating with product architecture platform engineering and business teams.
• Familiarity with cloud-native application development and integration patterns.

• Minimal travel based on business needs.
• Hybrid or remote work arrangements subject to business and team requirements.
• Ability to work at a computer and participate in virtual and in-person meetings for extended periods.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

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