AI Specialist Job at MCKESSON, Richmond, VA

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  • MCKESSON
  • Richmond, VA

Job Description

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:

The AI Specialist role will support the development of advanced AI solutions across McKesson. Our team applies AI methodologies to interdisciplinary business problems across Finance, Operations, Accounting, & Supply Chain.

In this role, you will be responsible for research, proof of concepts, technical design, hands-on development, and optimization of AI-powered automation systems. Strong collaboration skills are required to work closely with cross-functional teams, including UX Design professionals, AI Center of Excellence (CoE), and Quality Analysts, to deliver intelligent automation solutions that elevate our business processes and outcomes. Strong cloud development skills and experience with AI and automation technologies will be essential along with the eagerness and ability to quickly learn. With an eye towards innovation and a commitment to excellence, you will need to be able to understand business challenges in order deliver value through highly scalable and available automation solutions.

Responsibilities include:

  • Develop and deploy computer vision models for image and video analysis.
  • Design and implement algorithms for object detection, recognition, and tracking.
  • Enhance image processing techniques to improve accuracy and performance.
  • Ensure solutions are scalable and can handle large datasets efficiently.
  • Stay updated with the latest advancements in Foundation Model research and integrate them into projects.
  • Collaborate with other AI specialists to deliver AI solutions.
  • Work within an agile scrum framework.
  • Collaborate with Engineering team to deliver models within production applications
  • Familiarity with data engineering concepts such as data ingestion, ETL (Extract, Transform, Load), and data modeling to ensure efficient data pipelines in Databricks.
  • Navigate complex project requirements, timelines, and dependencies to ensure coordinated planning and successful execution.
  • Proactively and independently learns and utilizes new technology, concepts, and procedures as appropriate to project requirements. Maintains current knowledge of industry technology trends.
  • Captures, documents, and communicates best practices with other McKesson automation departments.

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, please  click here.

Our Base Pay Range for this position

$103,300 - $172,100

McKesson is an Equal Opportunity Employer

 

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

 

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Job Tags

Full time,

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