Senior Data Scientist, Engineer

Posted 1hrs ago

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Job Description

Sr. Data Scientist Engineer building AI agents, LLM workflows, and RAG systems for Automation Anywhere’s enterprise automation platform. Deploying scalable data and machine learning solutions.

Responsibilities:

  • Build, evaluate, and deploy machine learning, deep learning, NLP, and LLM-based applications
  • Develop LLM-powered agents and agentic AI systems
  • Design prompt engineering strategies and LLM evaluation pipelines
  • Implement retrieval-augmented generation (RAG) systems using vector databases and knowledge sources
  • Design and maintain scalable, reliable data pipelines and datasets
  • Perform data preprocessing, feature engineering, and model experimentation
  • Deploy AI/ML services via APIs, microservices, and cloud infrastructure
  • Monitor model performance and continuously improve system reliability and scalability
  • Collaborate cross-functionally to translate customer needs into technical solutions
  • Identify risks, manage customer pain points, and drive continuous improvement initiatives

Requirements:

  • Master’s degree in Artificial Intelligence, Computer Science, Data Science, or related field
  • Minimum 3-years experience in relevant fields
  • Strong programming skills in Python, Java, SQL and data processing
  • Experience working with structured and unstructured data
  • Knowledge of machine learning, deep learning, NLP, and LLM systems
  • Deep knowledge of MCP and A2A protocols
  • Experience with model training, evaluation, and experimentation
  • Familiarity with prompt engineering, agent-based architectures, and retrieval systems
  • Experience with APIs, distributed systems, and cloud platforms
  • Ability to apply data science and AI techniques to real-world business problems
  • Candidates should generally be authorized to work in the United States without the need for current or future sponsorship

Benefits:

  • Flexible work schedule / remote roles
  • Unlimited Personal Time Off
  • 12 holidays off per year
  • 4 days volunteer time off per year
  • Variety of health care and well-being benefits
  • Paid family/parental leave