[Hiring] Senior Staff Engineer, Enterprise AI @GE HEALTHCARE

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role 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.

Benefits

• Competitive salary range of $136,000.00-$204,000.00 Annual.
• Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
• Comprehensive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

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