As a Senior AI Engineer, you will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for Sr AI Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role.

Responsibilities

• Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare

• Build enterprise grade AI solutions with focus on privacy, security, fairness.

• Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions

• Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles.

• Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards

• Build solutions that align with responsible AI practices.

• Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes.

• Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes

• Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.

• Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions

• Optimize existing generative AI models for improved performance, scalability, and efficiency.

• Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

• Contribute to the establishment of best practices and standards for generative AI development within the organization.

Qualifications:

• Degree in Computer Science, Artificial Intelligence, or a related field.

• 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging

• Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus.

• Experience with information storage/retrieval using vector databases like pinecone.

• Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s.

• Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc)

• Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

• Programming experience in C/C , Java, Python.

• Strong knowledge of data structures, algorithms, and software engineering principles.

• Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

• Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

About 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.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.