As the Senior 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, Information Technology, 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.Job DescriptionRole Overview
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 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, Information Technology, 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.
- Lead development of AI-driven solutions including but not limited to:
- Designing RAG models, agent workflows, and multi-step reasoning models.
- Build agentic automation solutions to streamline IT business processes.
- 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.
- Project Execution: Lead and contribute to AI engineering projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities.
- Cross-Functional Collaboration: Work closely with colleagues in data engineering, ML engineering, data science, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success.
- Technical Excellence: Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Participate in code reviews and contribute to technical documentation.
- Continuous Improvement: Stay current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processes.
- Business Impact: Translate complex AI engineering concepts into actionable insights for business partners, supporting decision-making and measurable outcomes.
- Mentorship & Learning: Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth.
- Experience: Bachelor’s with 5+ years, Master’s with 3+ years, or PhD with 0 years of direct AI/ML experience in industry with demonstrated success building and deploying enterprise-grade solutions at scale.
- Relevant Expertise: Proven ability to apply AI to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization.
- Education: Bachelor’s, Master’s, or PhD in Computer Science, AI, Data Science, Engineering, Applied Mathematics, or related field.
- Technical Skills: expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, AWS AgentCore, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith. Expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning.
- Industry Knowledge: Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance.
- Communication: Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives.
- Interpersonal Skills: Proven success working in cross-functional, hybrid, and virtual teams.
- Ethics & Integrity: Commitment to ethical data science practices.
- Travel: Willingness to travel for business meetings as needed.
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).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
Skills Required
- Bachelor's with 5+ years, Master's with 3+ years, or PhD with 0 years of direct AI/ML experience
- Proven ability to apply AI to solve real-world problems
- Expertise in AI tools and platforms such as AWS and Azure
- Strong communication skills with the ability to convey technical concepts to non-technical stakeholders
- Commitment to ethical data science practices
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
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Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
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Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
GE Healthcare Insights
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.
