AI Engineer

Location: Madrid, Spain

Remote Type: Hybrid

Time Type: Full time

Job Description

About Cigna Healthcare

Cigna Healthcare is a global health service company dedicated to transforming healthcare. With roots in the U.S. and operations in over 30 countries, we serve more than 180 million customers and patients worldwide. Ranked 13th on the Fortune 500 in 2025, Cigna is recognized as one of the most trusted and influential names in the industry.

Our mission is to improve the health, well-being, and peace of mind of those we serve.

Join our globally recognized brand, where trust, communication, and a positive culture are at the core of everything we do. Our leadership is consistent, approachable, and supportive-ensuring your well-being and work-life balance.

We're looking for individuals who thrive in collaborative environments, are passionate about meaningful change, and want to grow in a company that puts people first.

At Cigna, you'll be part of a purpose-driven team that values innovation, compassion, and impact. Whether you're shaping better care experiences or supporting customers through life's key moments, your work will matter.

Grow with us-and help shape the future of healthcare.

Role Summary

We are seeking an AI engineer to join a team transforming healthcare and improving the lives and vitality of the millions of members we serve. The role will be a key member of a team working to develop scalable, resilient, and ethical AI solutions for the Cigna IH organization. Working closely with architects, product teams, and platform partners, this role will help establish connectivity to Large Language Models (LLMs), implement layered guardrails, leverage LLMs and open‑source libraries, and contribute to building and maintaining end‑to‑end AI pipelines.

Key Responsibilities

• Contribute to the architecture and development of scalable, resilient, and ethical AI solutions in collaboration with Product and platform architects, acting as a Generative AI practitioner.
• Support the establishment of connectivity to LLM endpoints in the enterprise cloud (AWS), including documenting DNS, routing, IAM policies, and firewall rules.
• Implement enterprise‑standard layered guardrails, including input validation, prompt‑injection mitigation, runtime constraints, and content safety controls.
• Apply Responsible AI principles in solution design and implementation, supporting fairness, transparency, and compliance with enterprise governance requirements and emerging regulations.
• Utilize LLMs, open‑source frameworks, machine learning techniques, and numerical programming tools to help deliver AI‑enabled business solutions.
• Work with open‑source libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain), cloud platforms, and internal systems as part of cross‑functional delivery teams.
• Contribute to the development and maintenance of end‑to‑end AI pipelines, including data preprocessing, feature extraction, model training, evaluation, and deployment.
• Advance AI adoption by facilitating awareness of AI trends, infrastructure, and emerging issues, with a particular focus on LLMs and enterprise AI adoption, and disseminating insights across the team

Qualifications

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• At least 5 years of experience in a technical role developing and deploying AI solutions preferably in healthcare or highly regulated industries for various countries in a medium-to-large enterprise.
• Experience in implementing sequential modelling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Programming experience in one of C/C++, Java, Python and for self-supervised learning, transfer learning, and reinforcement learning.
• Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, LangFlow, and Keras.
• Background in natural language processing (NLP), with experience utilizing tools like SpaCy, NLTK, and Hugging Face.
• Familiarity with cloud-based platforms and services, such as AWS in particular or GCP and 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.
• Understand responsible AI frameworks and adhere to established ethical AI principles.

Why You'll Love Working here

• Competitive salary

• Multicultural and hybrid working environment

• Private Medical Insurance

• Employee Wellbeing Benefits

• Educational Development Program

About Cigna Healthcare

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. 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: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.