About the role
As an AI Architect, you will make an impact by designing and delivering scalable, AI-driven platforms that leverage machine learning, large language models (LLMs), and generative AI to transform healthcare payer operations. You will be a valued member of the architecture and engineering team, working collaboratively with product owners, data teams, and payer business stakeholders to drive innovation while ensuring compliance with healthcare regulations and data privacy standards.
In this role, you will:
- Design and implement scalable AI architectures leveraging machine learning, LLMs, and generative AI to modernize payer workflows and improve operational efficiency
- Develop end-to-end solution blueprints covering data ingestion, feature engineering, model training, evaluation, and deployment aligned with enterprise standards
- Collaborate with business stakeholders to translate payer domain needs (claims, benefits, utilization management) into AI-driven solutions
- Build reusable AI components for use cases such as prior authorization, claims triage, fraud detection, and member engagement
- Establish responsible AI frameworks including governance, fairness, explainability, and monitoring to ensure compliant and ethical AI solutions
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position in Hardfort, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Strong expertise in machine learning (supervised and unsupervised), including feature engineering, model validation, and production deployment
- Hands-on experience building and integrating large language model (LLM) solutions, including retrieval-augmented generation (RAG), conversational AI, and document intelligence
- Proven experience designing and deploying generative AI solutions such as summarization, recommendation systems, and intelligent assistants
- Deep understanding of healthcare payer operations (claims adjudication, benefits, eligibility, prior authorization, provider networks)
- Knowledge of healthcare standards, regulations, and compliance requirements (e.g., HIPAA, coding systems)
- Strong programming skills and experience with AI/ML frameworks and cloud-based AI platforms, including MLOps practices
- Experience designing scalable, enterprise-grade AI solutions with observability, monitoring, and performance optimization
These will help you stand out
- Experience optimizing LLM-based solutions including prompt engineering, retrieval design, and context management tailored to domain-specific use cases
- Familiarity with AI governance frameworks, including model explainability, bias mitigation, and lifecycle monitoring
- Experience defining data models, pipelines, and quality frameworks for large-scale AI solutions
- Ability to lead architecture discussions, perform design/code reviews, and define long-term technical strategy
- Strong stakeholder communication skills with the ability to translate complex AI concepts to both technical and non-technical audiences
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.
Benefits
Cognizant offers a comprehensive benefits package, including:
Medical, Dental, Vision, and Life Insurance
Paid Holidays and Paid Time Off
401(k) plan with company contributions
Short‑term and Long‑term Disability
Paid Parental Leave
Employee Stock Purchase Plan
We’re excited to meet people who share our passion for innovation and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting ideas to this role.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
