The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Lead Applied AI Analyst

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

Location

United States

Posted

27 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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