✦ Luna Orbit — AI & Machine Learning

AI Solutions Engineer

at Morgan Stanley

📍 New York, New York, United States of America Unknown Posted March 19, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves developing AI solutions leveraging generative models, LLMs, and NLP to build enterprise knowledge graphs and data insights for Morgan Stanley's data strategy.

  • Design AI systems
  • Develop knowledge graphs
  • Optimize large language models
  • Integrate AI with enterprise data
  • Support data-driven decision making

The position requires expertise in AI, NLP, knowledge graphs, Python, and big data analytics, supporting innovative data-driven AI systems within financial services.

The ideal candidate is a data scientist or AI engineer with expertise in generative AI, large language models, and NLP techniques, capable of designing data-intensive AI systems and knowledge graphs, with a focus on innovation and problem-solving.

Generative AILarge Language ModelsNatural Language ProcessingData ScienceBig Data
Knowledge GraphsMultiagent SystemsDeep LearningData Engineering
PythonTensorFlowPyTorchGraph TechnologiesKnowledge Graph Platforms
Generative AILarge Language ModelsNatural Language ProcessingKnowledge GraphsData ScienceBig Data AnalyticsPythonMachine LearningDeep LearningData Engineering
Generative AILarge Language ModelsNatural Language ProcessingKnowledge GraphsData ScienceBig Data AnalyticsPythonMachine Learning
innovative thinkingproblem-solvingcollaborationcommunicationadaptability

Preferred

Certified Data ScientistAWS Certified Machine Learning - Specialty
Industry Financial Services
Job Function Build AI solutions and knowledge graphs for enterprise data insights
Role Subtype AI Solutions Engineer
Tech Domains Python, TensorFlow, PyTorch, Knowledge Graph Platforms
Generative AILarge Language ModelsNatural Language ProcessingKnowledge GraphsData ScienceBig Data AnalyticsPythonMachine LearningDeep LearningData EngineeringAINLPData-driven insightsData architectureAI systemsData management

Lack of experience with NLP or LLMs, No background in data science or AI, Unable to work in New York if onsite required

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