Technology Development Program (TECDP) - Artificial Intelligence Track

Our Technology Development Program (TECDP) empowers early‑career technologists to build meaningful skills while transforming how millions experience healthcare. 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. The Artificial Intelligence Track is designed for individuals passionate about leveraging AI to create intelligent, human‑centered solutions that drive better healthcare outcomes. This is a great opportunity for recent graduates or those early in their careers who are excited to apply their academic knowledge in a real-world setting. This role is designed to support your transition from academia to industry. What you’ll do 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.

Candidates must have participated in and completed a Cigna Group internship prior to applying for this position.

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, GitHub, Cursor, etc.). Courses & Experiences: Academic coursework, research, or internships focused on machine learning, natural language processing, computer vision, or generative AI. Exposure to real-world applications of AI in healthcare or other industries is a plus. 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. Desired Skills & Competencies 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 and emerging technologies responsibly to deliver value.

Location: This position is based in one of the following office locations: Bloomfield, CT |Morris Plains, NJ | St. Louis, MO | Austin, TX. The role requires a hybrid work schedule, with a minimum of three days per week working onsite (Tuesday,