Senior AI Engineer, Enterprise AI

🕒 May 2

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Logo of GE HealthCare

GE HealthCare

10,000+ employees

Founded 1892

💊 Pharmaceuticals

Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

📋 Description

• 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 • Lead and contribute to AI engineering projects from ideation through implementation • Work closely with colleagues in data engineering, ML engineering, data science, analytics, GenAI, and business stakeholders • Participate in code reviews and contribute to technical documentation • Stay current with advancements in ML, GenAI, and analytics • Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth

🎯 Requirements

• Bachelor’s with 5+ years, Master’s with 3+ years, or PhD with 0 years of direct AI/ML experience in industry • 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 • 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 • understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance • Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives • Proven success working in cross-functional, hybrid, and virtual teams

🏖️ Benefits

• medical • dental • vision • paid time off • a 401(k) plan with employee and company contribution opportunities • life insurance • disability insurance • accident insurance • tuition reimbursement

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