Technology Development Program; TECDP; Artificial Intelligence Track

Technology Development Program (TECDP) – Artificial Intelligence Track - Full Time Associate

Our Technology Development Program (TECDP) is a two-year program designed to build technical expertise and a holistic understanding of how technology fuels transformation across the healthcare industry. Associates join a technical track aligned to their interests and career goals, gaining hands-on experience, expanding their technical acumen, and collaborating across disciplines to solve real-world challenges in healthcare. This role is designed to support your transition from academia to industry.

The program is ideal for recent graduates and early-career professionals who are curious, motivated, and eager to apply their academic knowledge in a real-world setting. The Artificial Intelligence Track is designed for individuals passionate about leveraging AI to create intelligent, human-centered solutions that drive better healthcare outcomes.

• Meaningful Work:
  Contribute within the Artificial Intelligence track by building impactful technical solutions that drive innovation across The Cigna Group while strengthening your real-world skills.
• Learn by Collaborating:
  Learn by doing alongside peers, mentors, and cross-functional partners through hands-on projects, recruiting support, innovation efforts, community initiatives, and onboarding experiences.
• Structured Learning:
  Grow through a blend of core and track-specific curriculum, including technical training, leadership development, and business exposure to support your development as a well-rounded technologist.
• Community & Connection:
  Build strong relationships across the organization through networking, mentorship, cross-functional collaboration, and informal peer engagement that support both personal and professional growth.

• Education:
  
  Must have completed a bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related field at the time of hire. Additional degrees such as Math or Statistics will be considered if paired with coding experience and exposure to AI Code Generation.
• Technical
  
  Skills:
  
  Familiarity with languages such as Python, JavaScript, or R and experience with AI/ML frameworks.
• Knowledge of Generative AI tools (Copilot, Git Hub, Cursor, etc.).
• Courses & Experiences:
  Coursework, research, internships, or projects involving machine learning, large language models (LLMs), generative AI, natural language processing, computer vision, or related AI disciplines. Hands-on application of AI concepts.
• AI Forward Mindset:
  Demonstrated curiosity and enthusiasm for emerging AI technologies and their potential to reshape industries. Interest in ethical AI, responsible innovation, and the intersection of AI and human-centered design.
• Well Rounded:
  Leadership or involvement in clubs, organizations, or technical competitions such as Hackathons, AI challenges, or research symposiums.

• AI Development
  
  Experience:
  
  Preferred experience building, fine-tuning, evaluating, or deploying machine learning models, LLM-based applications, AI agents, or generative AI solutions through coursework, research, internships, or personal projects.
• Clear Communication:
  Effectively share ideas with technical and non-technical audiences.
• Collaboration & Inclusion:
  Build strong relationships and work well on diverse teams.
• Critical Thinking:
  Analyze complex problems and create innovative solutions.
• Curiosity:
  Understand how technology supports healthcare and connects to business goals.
• Strength-Based Leadership:
  Leverage personal and team strengths to drive results.
• Growth Mindset:
  Pursue continuous learning and career development.
• Technology Fluency & Ethics:
  Use foundational…