Digital Agent Technology Specialist

McKesson

Mississauga, CAonsite$82k-$109k/yrPosted Jul 13, 2026
Posting intelligenceActively listed

Skills

classificationsalesforcenaturallanguageprocessingsapllm

About the role

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 tomorrow’s health today, we want to hear from you.

Position Summary

We're doing big things in AI, and we want you to be part of it. McKesson Technology is rapidly expanding its use of intelligent digital agents to automate complex customer interactions across voice, chat, and email, and we're looking for an engineer who's ready to build what's next. The Senior Digital Agent Engineer is a hands-on technical role responsible for designing, building, and validating AI-powered digital agents on our AI conversational platform. Working across voice, chat, and email channels, this engineer will deliver autonomous agent experiences that handle customer intents for supply chair, patient care, and technical solutions. The Senior Digital Agent Engineer operates at the intersection of conversational AI, enterprise integration, and contact center technology partnering closely with business stakeholders, solution architects, and platform engineers to bring intelligent, reliable agents from design to production.

Key Responsibilities

Design and develop digital agents on the AI platform across voice, chat, and email channels, building conversation flows, intent handling, slot filling, and fallback logic that deliver accurate, end-to-end customer experiences

Partner with the AI Solution Owner and Engineering Lead to author Solution Design Documents (SDDs) that meet McKesson Technology architecture and compliance standards prior to build

Integrate digital agents with enterprise systems including Five9, Genesys, Salesforce, MuleSoft, SAP, web portal, and Athena, ensuring reliable data exchange and transaction execution across platforms

Execute System Integration Testing (SIT) to validate agent behavior, integration responses, and edge case handling before handoff to Quality Assurance; document test results and resolve defects identified during testing

Participate in code reviews, providing and receiving constructive technical feedback to maintain code quality, consistency, and adherence to engineering standards before promoting changes to higher environments

Collaborate with business partners, Product Owners, and the Contact Center Transformation Lead to translate business requirements and customer journey designs into technically sound agent implementations

and evaluate large language models within agent workflows including prompt design, retrieval, and output evaluation to improve accuracy, safety, and reliability

Support the tuning and optimization of digital agents post-launch by analyzing conversation logs, identifying failure points, and implementing improvements in partnership with the AI Optimization team

Maintain technical documentation including SDDs, integration specifications, and configuration records to ensure continuity and supportability across the team

Minimum Qualifications

Advanced knowledge proficiency in intelligent automation, process automation, and deployment automation

4+ years of experience developing conversational AI solutions on enterprise-grade platforms such as Sierra.AI, Google CCAI, Agentforce, Nuance, or comparable

Hands-on experience working with large language models (LLMs) / foundation models including prompt engineering, model selection, and evaluation of model outputs and quality

Demonstrated experience building and deploying digital agents across multiple channels (voice, chat, and/or email) in a production environment

Proficiency integrating AI platforms with enterprise systems via REST APIs, MuleSoft, or similar middleware and integration frameworks

Familiarity with CRM platforms (Salesforce preferred) and ERP systems (SAP preferred) in the context of agent-driven transaction execution

Experience with CCaaS platforms such as Five9 or Genesys, including understanding of call routing, SIP/PSTN flows, and agent handoff patterns

Solid understanding of NLU/NLP concepts including intent classification, entity extraction, dialogue management, and confidence thresholds

Experience performing system integration testing and documenting test cases, results, and defect tracking

Strong written and verbal communication skills with the ability to collaborate across technical and non-technical stakeholders

Preferred Qualifications

Experience with LLM evaluation, retrieval-augmented generation (RAG), or agentic orchestration in a production setting

Hands-on experience with Sierra.AI, specifically

Experience in healthcare distribution, pharmaceutical, or supply chain industries

Familiarity with workforce management / quality management platforms (e.g., Verint or similar workforce engagement / quality management platforms)

Exposure to Agile/Scrum delivery methodologies and sprint-based development

Working Conditions:

In office requirement, we are Flex and Connect with 2 days a week in office

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 McKesson's 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,

Our Base Pay Range for this position

$81,500 - $108,600

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

Join us at McKesson!

Compensation

This Other role pays $82k-$109k/yr. Within typical range for other roles in Canada.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Other roles in Canada varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Other hub for Canada medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.