Machine Learning Advisor - HIH - Evernorth
Position Overview
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. Your focus will be developing the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions including but not limited to BERT, RoBERTA, and GPT for a number of Natural Language Processing (NLP) tasks. You will be working closely with business stakeholders, Machine Learning Engineers to help us to transform the end to end value chain across various are. The work you do will impact millions of customers, members, and employers that rely on Cigna every day.
Qualifications
- 11 – 13 years of experience in technology
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
- 7 years of experience in research with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 5 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.
- Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras
- Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
- 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
Responsibilities
- Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions
- Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses
- Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions
- Build solutions that align with responsible AI practices.
- Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.
- Work with both open source models(Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners 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.
We are an advocate for better health through every stage of life. Guiding customers through the health care system, we empower them with the information and insight they need to make the best choices for improving their health and vitality. As the health benefits provider of The Cigna Group, we serve customers and clients through our U.S. Employer, U.S. Government, and International Health businesses and engage with employers and their employees, as well as with consumers, brokers, consultants, and health care providers. Cigna Healthcare serves 178 million+ customer relationships.
April 10, 2026
5-7 business days
After submission
- •Explicit, repeated mention of LLMs and generative AI (GPT, BERT, RoBERTA) and hands‑on ML toolchains (TensorFlow, PyTorch, Hugging Face) indicates strong tool proficiency.
- •Role requires developing and maintaining end‑to‑end AI pipelines and architecting scalable, distributed systems—clear workflow integration and deployment responsibilities.
- •Position includes strategic responsibilities (Generative AI SME, establishing best practices, working with product development) showing organizational/strategic application of AI.
This is a senior, high-impact ML advisory role at a stable, large healthcare organization with strong signals for technical challenge and recognition. The posting strongly supports esteem and technical growth needs (leadership, LLMs, generative AI work) and shows safety via company scale and full-time employment. However, foundational practical details are missing (no salary/benefits info) and the role asks for an unusually broad set of skills and responsibilities without clarifying team size or resourcing, which raises concerns about realistic expectations and workload. Candidates should clarify compensation, reporting structure, immediate priorities, and development support before proceeding.
- •Very broad and deep technical requirements across many domains (C/C++, Java, Python, computer vision, RL, GANs, VAE, Transformers, distributed ML) — may indicate unrealistic breadth expected from a single hire.
- •No compensation range or benefits details provided in the posting (critical practical information missing for candidate decision-making).
- •Role responsibilities and scope (architect, lead, deliver across internal/external partners) lack clarity about team size, direct reports, or resourcing — risk of high responsibility without clear support.
- •Strong employer stability signal: large, well-known healthcare company (Cigna) with 178M+ customer relationships.
- •High-impact role: explicitly states the work will 'impact millions of customers' and requires technical leadership and architecture responsibilities.
- •Cutting-edge technical work: explicit focus on LLMs, Generative AI, Transformers, and production ML pipelines — good for technical growth and mastery.
- •Can you share the target compensation range and high-level benefits package (healthcare, retirement/EPF contributions, paid time off) for this role?
- •Who will I report to and what is the immediate team structure (number of engineers/data scientists, product managers, researchers) supporting this role?
- •What are the top 2–3 technical priorities or deliverables for the person in this role during the first 6 months?
Location
Employment Type
Full-time
Experience Level
Senior
Posted
January 10, 2026 (2 weeks ago)
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