MCKESSON

location-iconMCKESSON

Artificial Intelligence Engineer

location-iconHopewell, VA, 23860

jobtype-iconPart Time, Full Time

estimated-salary-icon$95,062 per year

dateposted-iconPosted 8 days ago

Apply Now

location-iconActively Hiring

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 role of an Artificial Intelligence Engineer at McKesson encompasses contributing to the development of advanced AI solutions. This position involves leveraging AI methodologies to solve intricate business challenges across various functions such as Finance, Operations, Accounting, and Supply Chain.

In this role, you will be tasked with researching, creating proof of concepts, designing technical solutions, implementing them hands-on, and optimizing automation systems powered by AI. Effective teamwork skills are critical to collaborate closely with cross-functional teams, such as UX Design professionals, the AI Center of Excellence (CoE), and Quality Analysts, to deliver intelligent automation solutions that enhance our business processes and results. Strong cloud development skills and experience with AI and automation tools are essential, as well as the willingness and ability to rapidly acquire new knowledge. By focusing on innovation and upholding a commitment to excellence, you will be able to grasp business challenges and deliver value through highly scalable and reliable automation solutions.

Responsibilities include:

  • Establish computer vision models tailored for image and video analysis and then proceed with their deployment.
  • Formulate and execute algorithms to achieve object detection, recognition, and tracking objectives efficiently.
  • Optimize image processing algorithms to increase precision and performance standards.
  • It is essential to verify that the solutions are capable of scaling up to handle substantial data volumes without performance issues.
  • Keep pace with the latest advancements in Foundation Model research to enhance the quality of your project implementations.
  • Teamwork with AI specialists to provide tailored solutions using the latest advancements in artificial intelligence.
  • Adhere to the agile scrum guidelines.
  • Coordinate efforts with the engineering team to integrate models seamlessly into production applications
  • Competence in data engineering concepts such as data ingestion, ETL handling, and data modeling to optimize data pipeline performance within Databricks.
  • Effectively coordinate challenging project requisites, timelines, and interdependencies to ensure cohesive planning and execution.
  • Engages in continuous self-education to grasp and implement new technology, concepts, and methodologies that are pertinent to the project requirements. Stays updated on the prevailing industry technology trends.
  • Documents, preserves, and conveys successful methodologies to other departments within McKesson's automation division.

McKesson is proud to offer a competitive compensation package within our Total Rewards framework. This is determined by a variety of factors, including performance evaluations, years of service, specialized skills, equity considerations, regular market assessments, and geographical variances. The pay range displayed below adheres to McKesson's compensation philosophy and is always compliant with applicable regulations. Beyond the base salary, additional forms of compensation such as annual bonuses or long-term incentives may be available. For additional information on the benefits offered at McKesson, please contact us

Our Base Pay Range for this position

$103,300 - $172,100

McKesson is an Equal Opportunity Employer

McKesson assures that it offers equal employment opportunities to applicants and staff and is dedicated to cultivating a diverse and inclusive environment where discrimination based on race, color, religion, gender, sexual orientation, national origin, veteran status, disability, age, or genetic information is not tolerated. For a comprehensive understanding of McKesson's Equal Employment Opportunity policies, please refer to our official website.

Take advantage of the opportunity to be a part of McKesson!

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FAQ's

Find the answers for the most frequently asked questions below

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The IQ of an individual is a personal trait and not directly related to their job title, including an intelligence engineer. Therefore, it's not accurate or fair to provide an average IQ for engineers in general, let alone intelligence engineers specifically. Intelligence, problem-solving skills, and other relevant abilities can vary greatly among individuals, regardless of their profession.

Yes, intelligence engineers are intellectuals, as their job requires a strong foundation in mathematics, computer science, and engineering principles, as well as problem-solving and critical thinking skills.

The number of years required to become an Intelligence Engineer in the field of Artificial Intelligence can vary, but typically it involves a bachelor's degree in a relevant field such as computer science, engineering, or mathematics, followed by 2-5 years of relevant work experience. However, it's important to note that the exact requirements can differ depending on the specific company and role.

While the question is somewhat vague, it's important to note that intelligence is a broad term that encompasses various aspects, including problem-solving skills, creativity, and adaptability. As for the job title "intelligence engineer," it typically involves applying analytical skills to develop and maintain systems that analyze data and make predictions. Therefore, it's safe to say that individuals in this field are expected to have a strong analytical mind and problem-solving skills, which are key attributes of intelligence. However, it's important to remember that intelligence can take many forms and isn't solely determined by a job title or profession.

A Business Intelligence Engineer analyzes and develops data-driven solutions to help organizations make informed business decisions by creating and maintaining business intelligence systems, data models, and reports. They often use data visualization tools to present complex data in a user-friendly format.

Intelligence engineers are typically considered smart due to their expertise in areas such as data analysis, machine learning, and artificial intelligence. However, intelligence in this context refers more to analytical and problem-solving skills rather than general intelligence. The "smartest" engineers in this field are those who excel in these specific areas.

To become an Intelligence Engineer, typically, you should follow these steps: 1. Earn a bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. 2. Gain experience in programming languages such as Python, Java, or C++. 3. Develop a strong understanding of machine learning, data mining, and artificial intelligence principles. 4. Acquire practical experience through internships or projects in AI or data analysis. 5. Consider pursuing a master's degree or further certification in AI or a related field. 6. Stay updated with the latest AI trends and technologies. 7. Network within the AI community to increase chances of employment.

An intelligence engineer is not a measure of a person's intelligence, but rather a job title that involves analyzing and interpreting complex data to develop and improve artificial intelligence systems. The intelligence of an engineer in this field comes from their problem-solving skills, technical knowledge, and ability to understand and apply complex data.

Yes, intelligence engineers are typically expected to have a high level of intelligence due to the complex problem-solving and analytical skills required in their role. However, it's important to note that intelligence can be defined in many ways and not everyone in the field may possess the same level of intelligence in all areas.

Intelligent engineering refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to traditional engineering processes, aiming to optimize design, analysis, and decision-making in engineering fields. An intelligence engineer specializes in developing and implementing these AI-based solutions for engineering problems.