Lead Applied AI Analyst
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Job Description
Lead Applied AI Analyst at Cigna transforming financial workflows with AI-driven solutions. Collaborate with global Finance teams to deliver measurable business outcomes and enhance decision support capabilities.
Responsibilities:
- 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.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, Finance, or related field.
- 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.
- 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).
Benefits:
- medical
- vision
- dental
- well-being and behavioral health programs
- 401(k)
- company paid life insurance
- tuition reimbursement
- a minimum of 18 days of paid time off per year
- paid holidays
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