Job description

Senior AI Architect About the role As a Senior AI Architect, you will make an impact by defining end-to-end Agentic AI architectures that turn large language models, multi-agent systems, and orchestration layers into secure, scalable, enterprise-grade solutions for our client. You will be a valued member of the Digital Engineering team and work collaboratively with client stakeholders, data and platform teams, and cross-functional engineering groups. *Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future* **Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs. ** In this role, you will • Define end-to-end Agentic AI architecture frameworks leveraging LLMs, multi-agent systems, and orchestration layers. • Design autonomous AI agents capable of planning, reasoning, memory management, and tool usage. • Establish reference architectures for enterprise-grade AI applications that are cloud-native, scalable, and secure. • Integrate AI agents with enterprise systems, including data platforms, ERP, CRM, APIs, and event-driven systems. Work model At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States, with openness to travel as required by the client. 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 • Deep expertise in AI/ML and GenAI, including LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases, and multi-agent architectures and agent frameworks. • Strong programming skills in Python (primary) with hands-on experience across AI libraries. • Experience architecting on cloud platforms, with Azure preferred (including Azure OpenAI, Azure AI Studio, and Databricks), as well as AWS or GCP. • Experience with modern data and platform ecosystems (Databricks, Snowflake, Synapse), REST APIs, microservices, and event streaming (Kafka, Event Hub). • Strong DevOps and MLOps capabilities, including CI/CD pipelines, Docker, Kubernetes, monitoring, logging, and experiment tracking. These will help you stand out • Familiarity with Java, Scala, or Node.js in addition to Python. • Experience delivering AI solutions within regulated or enterprise insurance environments. • Experience partnering directly with client stakeholders to shape and advance technical direction. We're excited to meet people who share our mission 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 things to this role. Salary and Other Compensation Applications will be accepted until October 15 th , 2026 • The annual salary for this position is between $108,000 - $180,000 depending on the experience and other qualifications of the successful candidate. • This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan 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 CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Senior AI Architect
Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs. **
In this role, you will
Define end-to-end Agentic AI architecture frameworks leveraging LLMs, multi-agent systems, and orchestration layers.
Design autonomous AI agents capable of planning, reasoning, memory management, and tool usage.
Establish reference architectures for enterprise-grade AI applications that are cloud-native, scalable, and secure.
Integrate AI agents with enterprise systems, including data platforms, ERP, CRM, APIs, and event-driven systems.
What you need to have to be considered
Deep expertise in AI/ML and GenAI, including LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases, and multi-agent architectures and agent frameworks.
Strong programming skills in Python (primary) with hands-on experience across AI libraries.
Experience with modern data and platform ecosystems (Databricks, Snowflake, Synapse), REST APIs, microservices, and event streaming (Kafka, Event Hub).
Strong DevOps and MLOps capabilities, including CI/CD pipelines, Docker, Kubernetes, monitoring, logging, and experiment tracking.
These will help you stand out
Familiarity with Java, Scala, or Node.js in addition to Python.
Experience delivering AI solutions within regulated or enterprise insurance environments.
Experience partnering directly with client stakeholders to shape and advance technical direction.
Salary and Other Compensation
Applications will be accepted until October 15 th , 2026
The annual salary for this position is between $108,000 - $180,000 depending on the experience and other qualifications of the successful candidate.

Nice-to-haves

Experience architecting on cloud platforms, with Azure preferred (including Azure OpenAI, Azure AI Studio, and Databricks), as well as AWS or GCP.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestmlpythonazureawsgcpci/cddockerkubernetesjavanode.js

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave