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GH

GE HEALTHCARE

via Workday

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Senior Staff Engineer, Enterprise AI

Anywhere
Full-time
Posted 12/7/2025
Verified Source
Key Skills:
AI and Machine Learning
Data Analysis
Transformers and Deep Learning
GenAI and LLMs
AI Model Deployment

Compensation

Salary Range

$136K - 204K a year

Responsibilities

Lead development and integration of AI solutions, conduct research, and collaborate across teams to implement advanced AI models.

Requirements

Requires 5+ years in AI/ML, expertise in transformers, self-supervised learning, GenAI, and experience with large datasets and AI platforms.

Full Description

Job Description Summary Le scientifique des données senior guidera des équipes et les dirigera en tant qu'expert technique du domaine, traitant différents problèmes statistiques, d'apprentissage automatique et de compréhension des données dans un environnement de développement de technologies commerciales et de conseils. Dans ce rôle, vous contribuerez à l'élaboration et au déploiement de méthodes statistiques, d'apprentissage automatique, de recherche opérationnelle et d'analyse sémantique modernes destinées à identifier une structure dans de grands jeux de données. Job Description We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a unified, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, and GenAI development—to solve complex business challenges and deliver scalable solutions. Responsibilities • Lead development of AI-driven solutions including but not limited to: • Designing RAG models, agent workflows, and multi-step reasoning models. • Unstructured data analysis. • Integrating ML/GenAI models and LLM orchestration into end-user AI applications. • Conduct research and stay updated with the latest advancements in AI technologies. • Translate AI research into business solutions. • Collaborate with cross-functional teams to integrate AI solutions into various applications and products. • Analyze large datasets to extract meaningful insights and improve AI model performance. • Design and conduct experiments to validate and optimize AI models. • Present findings and recommendations to stakeholders in a clear and concise manner. • Collaborate with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring. • Proactively measure and communicate value generation from developed AI solutions to business and IT leaders across GE HealthCare. • Proactively identify new opportunities to further leverage AI solutions – prioritizing opportunities with the biggest potential benefit to the business. • Ensure best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise. • Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches. • Operating as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics in decision-making and value creation. Requirements • Bachelors degree in Computer Science, Data Science, Engineering or a STEM related field with a focus on neural networks and computer vision. or related with 5+ years of hands-on experience in developing and deploying AI models and applications. • Deep expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith. • Deep expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning. • Experience implementing transformers, self-supervised learning, and generative AI models in reliable, maintainable APIs or microservices. • Ability to work with large-scale datasets and perform efficient data analysis. • Expertise in transformers, self-supervised learning, and generative AI models. • Ability to continuously track, evaluate, adapt the latest advancements in AI technology to business use cases across GE HealthCare. • Strong problem-solving skills and the ability to think critically and creatively. • Excellent communication skills and the ability to work collaboratively in a team environment. • PhD preferred. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-BR3 #LI-Remote We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $136,000.00-$204,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Nonobstant le fait que GE HealthCare ne requiert actuellement pas des salariés américains (USA) qu'ils soient vaccinés contre la COVID-19, certains clients de GE HealthCare appliquent des règles de vaccination qui pourraient toucher certains salariés de GE HealthCare. Aide à la relocalisation fournie : Oui Application Deadline: January 31, 2026

This job posting was last updated on 12/12/2025

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