[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.

Responsibilities

• 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

Skills

• 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
• 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
• Bachelor's, Master's, or PhD in Computer Science, AI, Data Science, Engineering, Applied Mathematics, or related field
• 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
• Commitment to ethical data science practices
• Willingness to travel for business meetings as needed

Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Medical
• Dental
• Vision
• Paid time off
• A 401(k) plan with employee and company contribution opportunities
• Life, disability, and accident insurance
• Tuition reimbursement

Company Overview