2 months ago
Mississauga, CanadaStaff+
Base Salary
$122k - $163k/yr
Responsibilities
- Own the full lifecycle of Agentic AI and automation solutions from discovery and architecture through deployment and operational support.
- Identify, prioritize, and deliver high-impact AI use cases aligned with business strategies and measurable outcomes.
- Design scalable agentic AI architectures integrated with Agent Hub, enterprise platforms, APIs, and business workflows.
- Lead technical decisions involving LLMs, AI agents, retrieval systems, orchestration frameworks, and automation technologies.
- Partner with business and technology stakeholders to define requirements, roadmaps, and implementation strategies.
- Establish engineering standards, architecture patterns, governance controls, and reusable AI capabilities.
- Drive Responsible AI practices including governance, security, observability, risk management, and human oversight.
- Mentor engineers and architects and promote technical excellence, innovation, and continuous improvement.
Requirements
- A degree or equivalent and typically 10+ years of relevant experience; fewer years may be accepted with relevant Master's or Doctorate qualifications.
- 10+ years of software engineering, solution architecture, application development, or platform engineering experience.
- 5+ years of experience designing and implementing AI-enabled enterprise solutions.
- Hands-on experience building AI, machine learning, automation, or intelligent workflow solutions in enterprise environments.
- Strong proficiency in Python and agentic software engineering practices.
- Experience designing enterprise integrations using MCPs, APIs, microservices, and event-driven architectures.
- Proven experience leading technical delivery across multiple teams and stakeholders.
- Excellent communication, collaboration, and solution leadership skills.
- Strong understanding of large language models, tokenization, context windows, and model capabilities.
- Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, Claude Agent SDK, or similar frameworks.
- Experience designing function-calling patterns, tool integrations, and structured schemas.
- Expertise with Azure services, Azure AI Foundry, and cloud-native architecture patterns.
- Experience with Docker, Kubernetes, CI/CD pipelines, and modern deployment practices.
- Experience implementing Human-in-the-Loop processes for critical business workflows.
- Understanding of Responsible AI principles, governance frameworks, risk management, and compliance requirements.
Benefits
- Base pay is listed as $122,100-$162,800, with potential annual bonus or long-term incentive opportunities and additional benefits.
- The role is Flex and Connect with two days per week in the office when applicable.
- Hybrid or remote work arrangements may be available based on business needs and location requirements.
- The position may require limited travel of up to 10% for business meetings, workshops, or strategic planning.
- The role includes general office work and extended computer workstation use with virtual collaboration.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
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.