Senior Staff Engineer, Enterprise AI

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GE HealthCare

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Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

10,000+ employees

Founded 1892

💊 Pharmaceuticals

📋 Description

• 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 • 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 • 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

🏖️ Benefits

• medical • dental • vision • paid time off • a 401(k) plan with employee and company contribution opportunities • life • disability • accident insurance • tuition reimbursement