[Remote] Senior AI Engineer, Enterprise AI

Note: The job is a remote job and is open to candidates in USA. GE HealthCare is at the forefront of delivering robust, enterprise-grade AI and ML solutions. As the Senior AI Engineer, you will develop innovative GenAI and Agentic AI solutions to generate actionable business insights and transform key areas within the company.ResponsibilitiesLead development of AI-driven solutions including but not limited to:Designing RAG models, agent workflows, and multi-step reasoning modelsBuild agentic automation solutions to streamline IT business processesUnstructured data analysisIntegrating ML/GenAI models and LLM orchestration into end-user AI applicationsConduct research and stay updated with the latest advancements in AI technologiesTranslate AI research into business solutionsProject Execution: Lead and contribute to AI engineering projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational prioritiesCross-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 successTechnical Excellence: Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Participate in code reviews and contribute to technical documentationContinuous Improvement: Stay current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processesBusiness Impact: Translate complex AI engineering concepts into actionable insights for business partners, supporting decision-making and measurable outcomesMentorship & Learning: Share knowledge with peers, contribute to team learning, and seek opportunities for professional growthSkillsBachelor'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 scaleProven ability to apply AI to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimizationBachelor's, Master's, or PhD in Computer Science, AI, Data Science, Engineering, Applied Mathematics, or related fieldExpertise 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/LangSmithExpertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuningUnderstanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and financeStrong ability to convey complex technical concepts to non-technical stakeholders and senior executivesProven success working in cross-functional, hybrid, and virtual teamsCommitment to ethical data science practicesWillingness to travel for business meetings as neededBenefitsPerformance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)MedicalDentalVisionPaid time offA 401(k) plan with employee and company contribution opportunitiesLife, disability, and accident insuranceTuition reimbursementCompany OverviewEvery day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. It was founded in 1989, and is headquartered in Oslo, Oslo, NOR, with a workforce of 10001+ employees. Its website is http://www3.gehealthcare.no/.