Senior AI Engineer, Enterprise AI

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 10,001+Since 1892H1B SponsorCompany SiteLinkedIn

Location

Illinois

Posted

30 days ago

Salary

$109.6K - $164.4K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSAzure

Job Description

Senior AI Engineer, Enterprise AI

GE HealthCare

• 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, ensuring solutions are robust, scalable, and aligned with organizational priorities. • Work closely with colleagues in data engineering, ML engineering, data science, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success. • Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. • Stay current with advancements in ML, GenAI, and analytics. • Translate complex AI engineering concepts into actionable insights for business partners, supporting decision-making and measurable outcomes. • Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth.

Job Requirements

  • 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
  • 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

  • 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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