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Senior Staff AI Engineer, Enterprise AI

GE Healthcare

Software and Technology Jobs

Senior Staff AI Engineer, Enterprise AI

full-timePosted: Jan 14, 2026

Job Description

Job Description Summary

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.


 

Job Description

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.

#LI-MT1

#LI-Hybrid


 

Pay Range

For Poland based positions, Annual Salary Range:356,000.00PLN-489,500.00PLN

Placement within this range depends on:

  • Relevant skills and qualifications

  • Prior job-related experience

  • Internal equity considerations (alignment with colleagues in similar roles) e.t.c.

We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations.

Benefits & Rewards

In addition to base salary, our employees have access to a comprehensive package of benefits and allowances, which may include:

  • Health & wellness coverage

  • Retirement and or savings plans

  • Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable)

  • Work-life balance support (e.g., flexible working, leave programs)

  • Recognition and incentive programs aligned with performance and company success

The exact benefits package depends on the role, location, and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage.

  • Performance Bonus: Details to be shared during offer discussions

Additional Information

Relocation Assistance Provided: Yes


 

Locations

  • Global

Salary

356,000 - 489,500 PLN / yearly

Estimated Salary Rangemedium confidence

40,000 - 75,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • GenAI model developmentintermediate
  • AI Agent design and orchestrationintermediate
  • RAG modelsintermediate
  • LLM fine tuningintermediate
  • computer visionintermediate
  • deep learningintermediate
  • transformersintermediate
  • self-supervised learningintermediate
  • MLOpsintermediate
  • data analysisintermediate

Required Qualifications

  • PhD in Computer Science, Data Science, Engineering or STEM field with focus on neural networks and computer vision (experience)
  • hands-on experience developing and deploying AI models (experience)
  • expertise in AI tools like AWS Bedrock, Azure AI Foundry, LangGraph/LangSmith (experience)

Responsibilities

  • design RAG models, agent workflows, and multi-step reasoning models
  • develop GenAI and agentic AI solutions for business areas
  • analyze unstructured data and large datasets
  • integrate ML/GenAI models into end-user applications
  • collaborate with cross-functional teams on AI deployment
  • conduct research on latest AI advancements
  • present findings to stakeholders
  • measure and communicate AI solution value

Benefits

  • general: health and wellness coverage
  • general: retirement and savings plans
  • general: work-life balance support
  • general: recognition and incentive programs
  • general: performance bonus

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GE Healthcare logo

Senior Staff AI Engineer, Enterprise AI

GE Healthcare

Software and Technology Jobs

Senior Staff AI Engineer, Enterprise AI

full-timePosted: Jan 14, 2026

Job Description

Job Description Summary

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.


 

Job Description

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.

#LI-MT1

#LI-Hybrid


 

Pay Range

For Poland based positions, Annual Salary Range:356,000.00PLN-489,500.00PLN

Placement within this range depends on:

  • Relevant skills and qualifications

  • Prior job-related experience

  • Internal equity considerations (alignment with colleagues in similar roles) e.t.c.

We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations.

Benefits & Rewards

In addition to base salary, our employees have access to a comprehensive package of benefits and allowances, which may include:

  • Health & wellness coverage

  • Retirement and or savings plans

  • Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable)

  • Work-life balance support (e.g., flexible working, leave programs)

  • Recognition and incentive programs aligned with performance and company success

The exact benefits package depends on the role, location, and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage.

  • Performance Bonus: Details to be shared during offer discussions

Additional Information

Relocation Assistance Provided: Yes


 

Locations

  • Global

Salary

356,000 - 489,500 PLN / yearly

Estimated Salary Rangemedium confidence

40,000 - 75,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • GenAI model developmentintermediate
  • AI Agent design and orchestrationintermediate
  • RAG modelsintermediate
  • LLM fine tuningintermediate
  • computer visionintermediate
  • deep learningintermediate
  • transformersintermediate
  • self-supervised learningintermediate
  • MLOpsintermediate
  • data analysisintermediate

Required Qualifications

  • PhD in Computer Science, Data Science, Engineering or STEM field with focus on neural networks and computer vision (experience)
  • hands-on experience developing and deploying AI models (experience)
  • expertise in AI tools like AWS Bedrock, Azure AI Foundry, LangGraph/LangSmith (experience)

Responsibilities

  • design RAG models, agent workflows, and multi-step reasoning models
  • develop GenAI and agentic AI solutions for business areas
  • analyze unstructured data and large datasets
  • integrate ML/GenAI models into end-user applications
  • collaborate with cross-functional teams on AI deployment
  • conduct research on latest AI advancements
  • present findings to stakeholders
  • measure and communicate AI solution value

Benefits

  • general: health and wellness coverage
  • general: retirement and savings plans
  • general: work-life balance support
  • general: recognition and incentive programs
  • general: performance bonus

Target Your Resume for "Senior Staff AI Engineer, Enterprise AI" , GE Healthcare

Get personalized recommendations to optimize your resume specifically for Senior Staff AI Engineer, Enterprise AI. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Staff AI Engineer, Enterprise AI" , GE Healthcare

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Senior Staff AI Engineer, Enterprise AI @ GE Healthcare.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.