AI Solutions Leader, PCS Integrated Supply Chain at GE Healthcare

Waukesha, Wisconsin, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Supply ChainIndustries

Requirements

Bachelor’s or master’s degree in a STEM field (Science, Technology, Engineering, Mathematics) with a minimum of 5 years of relevant experience
Proven experience with foundational AI models, large language models, or self-supervised learning techniques
Experience in building large-scale AI solutions, including generative models and multi-modal AI applications addressing segmentation, detection, and classification challenges
Legal authorization to work in the U.S.A
Willingness and ability to travel for meetings, workshops, and conferences

Responsibilities

Design and implement cutting-edge machine learning algorithms, with a focus on LLMs and generative models, to automate and optimize clinical and operational workflows across structured and unstructured data sources (e.g., EHRs, imaging, production data)
Take ownership of initiatives aimed at enhancing key customer delivery metrics and KPIs, ensuring that AI solutions are aligned with business objectives and customer needs. Establish benchmarks for performance and accuracy through thorough statistical analyses
Develop and implement robust prototypes that transition high-performance AI algorithms into scalable, product-ready solutions
Remain updated with industry advancements by exploring and analyzing the latest algorithms and competing technologies to maintain a competitive edge
Collaborate with various teams within the organization to effectively integrate AI capabilities into core integrated supply chain processes, ensuring alignment with business goals and customer needs, focusing on optimizing customer service delivery
Stay ahead of industry trends by evaluating emerging technologies, frameworks, and methodologies. Apply insights to maintain a competitive edge in healthcare supply chain innovation

Skills

Key technologies and capabilities for this role

AIMachine LearningLLMsGenerative AIMulti-modal AnalyticsData SciencePythonSupply Chain OptimizationStatistical AnalysisPrototypingProduct Management

Questions & Answers

Common questions about this position

What are the basic qualifications for this AI Solutions Leader role?

Candidates need a Bachelor’s or master’s degree in a STEM field with a minimum of 5 years of relevant experience, proven experience with foundational AI models, large language models, or self-supervised learning techniques, and experience in building large-scale AI solutions including generative models and multi-modal AI applications.

What preferred skills are highlighted for this position?

Preferred qualifications include strong problem-solving skills, experience in data science with statistical and predictive analytics, familiarity with Power BI, and AI frameworks such as DeepSpeed, Hugging Face, Megatron, and PyTorch Lightning.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this AI Solutions Leader position?

A strong candidate will have a STEM degree with 5+ years of experience in AI models like LLMs and generative AI, plus preferred skills in data science, Power BI, and frameworks like Hugging Face and PyTorch Lightning, along with strong problem-solving and cross-functional collaboration abilities.

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.

Regulatory challenges may delay AI application expansions in healthcare.

Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.

The company supports over 300,000 patients daily with its healthcare technologies.

GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.

Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.

Collaboration with Wayra accelerates digital health innovation in EMEA.

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