Lead Intelligent Solutions Engineer

McKesson Corporation

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
TX
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $194k
$131k most similar roles pay here $244k

This listing doesn't post a salary. Most similar roles pay $157,150–$231,475.

Based on 240 similar postings.

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About McKesson Corporation

McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.

McKesson Corporation currently has 92 open roles on FindRole.

Listed pay typically runs $125,050–$208,450 across 60 roles with salary data.

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At a glance

TL;DR · Lead Intelligent Solutions Engineer

Lead Intelligent Solutions Engineer is a senior, hands-on technical builder-leader role within the Sarah Cannon Research Institute team. This position is responsible for designing, building, and scaling end-to-end AI and intelligent automation solutions, including LLM-based agents, copilots, chatbots, and automated workflows. The successful candidate will manage solution architecture, ensure enterprise standards, and translate complex business problems into production-ready tools to improve productivity and decision-making. Key technical requirements include proficiency in prompt engineering, Python or JavaScript, API integration, and RAG architectures. Experience with the Microsoft AI ecosystem, including Copilot Studio and Azure OpenAI, is preferred. The role involves solving operational challenges within a regulated healthcare environment by automating manual processes like case intake, triage, and document processing while ensuring strict adherence to data privacy and security protocols across various internal departments.

What you'll do

  • Design, build, and maintain LLM-based agents, prompt libraries, chatbots, and end-to-end intelligent workflows.
  • Lead rapid prototyping and convert successful pilots into scalable, production-grade AI solutions.
  • Serve as the primary architect for AI initiatives, making technical decisions on RAG architectures and tool calling.
  • Build and maintain robust integrations with enterprise platforms using APIs, data pipelines, and orchestration tools.
  • Translate complex business problems into tangible, production-ready automation solutions to improve operational efficiency.
  • Ensure all AI solutions comply with corporate governance, security standards, and ethical AI principles.
  • Evangelize AI capabilities by engaging stakeholders and providing technical documentation and training sessions.

What we're looking for

  • Bachelor's Degree required; Master's Degree preferred.
  • At least 7 years of experience in machine learning.
  • Proven experience delivering complex, production-grade AI and automation solutions as a hands-on builder.
  • Deep proficiency in prompt engineering and applying Generative AI to enterprise workflows.
  • Strong programming skills in Python and/or JavaScript with experience in APIs, data transformation, version control, and deployment.
  • Demonstrated experience building agentic AI solutions, including RAG architectures, orchestration frameworks, and tool-calling patterns.
  • Experience with Microsoft AI ecosystem tools such as Copilot Studio, Power Platform, Azure AI, or Azure OpenAI (preferred).
  • Experience in healthcare, life sciences, or clinical research domains; experience in regulated environments (preferred).

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