Lead Applied AI Analyst

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 10,001+Since 1982H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

28 days ago

Salary

$107.7K - $179.5K / year

Bachelor Degree5 yrs expEnglishCloudPython

Job Description

• Lead the design and development of AI capabilities, including NLP, GenAI, predictive modeling, and agent-based automation • Build AI-driven workflows that simplify multi-step business processes and reduce manual effort • Translate business problems into clear technical approaches, including data needs, and workflow design • Validate assumptions, iterate quickly, and refine solutions based on stakeholder feedback • Work closely with global Finance teams, analysts, and engineering partners to ensure solutions align with program objectives • Communicate complex AI concepts in clear business terms for senior leaders and operational teams • Support change management and user adoption by helping stakeholders understand how AI solutions improve their workflows • Ensure all AI solutions align with enterprise standards for responsible AI • Contribute to program workstream planning, milestone delivery, and risk mitigation.

Job Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, Finance, or related field
  • Advanced degree or certifications in AI/ML, Applied Data Science, or Analytics preferred
  • 5+ years of hands-on experience in applied AI, ML engineering, or advanced analytics
  • Demonstrated experience building GenAI, LLM, RAG, NLP, or agent-based AI solutions
  • Strong background in Finance-related datasets and workflows
  • Experience delivering AI capabilities as part of large-scale transformation or modernization programs
  • Prior experience working with global or distributed teams
  • Strong Python skills and experience developing end-to-end AI/ML pipelines
  • Expertise with LLMs, GenAI frameworks, NLP techniques, and agentic AI
  • Familiarity with modern data platforms (e.g., Databricks, Snowflake, cloud platforms)
  • Strong prompt engineering and model-tuning fundamentals.

Benefits

  • Health insurance (medical, vision, dental)
  • 401(k)
  • Company paid life insurance
  • Tuition reimbursement
  • Minimum of 18 days of paid time off per year
  • Paid holidays
  • Well-being and behavioral health programs

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