Senior Ai Engineer, Enterprise Ai

GE HealthCare Technologies

Base: $105,600.00-$158,400.00 annual; bonus/equity...
Hybrid
Genai and agentic ai solution development
Rag model and agent workflow design
Llm orchestration with langgraph/langsmith
GE HealthCare Technologies is seeking a Senior AI Engineer to join their Enterprise AI team, focusing on delivering innovative AI and ML solutions that impact various business sectors. The ideal candidate will have a strong background in AI/ML, with experience in developing enterprise-grade solutions and collaborating across teams

Job Summary

  • The role involves leading the development of innovative GenAI and Agentic AI solutions that transform key areas such as Finance, Supply Chain, and Manufacturing.
  • Candidates will collaborate across a unified cross-functional delivery organization to solve complex business challenges and deliver scalable enterprise-grade solutions.
  • The position offers competitive compensation ranging from $105,600.00 to $158,400.00 annually along with performance-based incentives and a comprehensive benefits package.

Matching Summary

Match Score: 85

GE HealthCare Technologies is seeking a Senior AI Engineer to join their Enterprise AI team, focusing on delivering innovative AI and ML solutions that impact various business sectors. The ideal candidate will have a strong background in AI/ML, with experience in developing enterprise-grade solutions and collaborating across teams.

Salary

Base: $105,600.00-$158,400.00 Annual; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives (LTI); Benefits: Medical, dental, vision, paid time off, 401(k), life, disability, accident insurance, tuition reimbursement

Skills & Requirements

Must-have

  • GenAI and Agentic AI solution development
  • RAG model and agent workflow design
  • LLM orchestration with LangGraph/LangSmith
  • AWS Bedrock or Azure AI Foundry expertise
  • Enterprise-scale ML deployment experience
  • Unstructured data analysis capabilities

Nice-to-have

  • Cross-functional collaboration skills
  • Strong communication with non-technical stakeholders
  • Experience in operational optimization
  • Knowledge of Lean and Quality processes
  • Commitment to ethical data science practices

Key Requirements

  • Bachelor's degree with 5+ years AI/ML experience
  • Master's degree with 3+ years AI/ML experience
  • PhD with direct industry AI/ML experience
  • Legal authorization to work in the United States
  • No visa sponsorship provided for this role

Work Rights

Must be legally authorized to work in the US

Tailored Resume

Cover Letter