Senior Staff AI Engineer, Enterprise AI

Senior Staff AI Engineer

GE HealthCare is accelerating its transformation through a series of strategic "AI Big Bets" in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As the Senior Staff AI Engineer, you will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing.

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.

Core Responsibilities

Leading development of AI-driven solutions including but not limited to:

1. Designing RAG models, agent workflows, and multi-step reasoning models.
2. Unstructured data analysis.
3. Integrating ML/GenAI models and LLM orchestration into end-user AI applications.
4. Conducting research and staying updated with the latest advancements in AI technologies.
5. Translating AI research into business solutions.

Collaborating with cross-functional teams to integrate AI solutions into various applications and products.

Analyzing large datasets to extract meaningful insights and improve AI model performance.

Designing and conducting experiments to validate and optimize AI models.

Presenting findings and recommendations to stakeholders in a clear and concise manner.

Collaborating with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring.

Proactively measuring and communicating value generation from developed AI solutions to business and IT leaders across GE HealthCare.

Proactively identifying new opportunities to further leverage AI solutions – prioritizing opportunities with the biggest potential benefit to the business.

Ensuring best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise.

Driving 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

• PhD in Computer Science, Data Science, Engineering or a STEM related field with a focus on neural networks and computer vision.
• 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.

Relocation Assistance Provided: Yes