Job description

Principal Full-Stack AI Engineer - Platform Architect Location: New York, NY (Hybrid) Employment Type: Full-Time Job ID: 00070578971 About the role As a Principal Full-Stack AI Engineer - Platform Architect , you will lead the design and development of a next-generation enterprise AI platform. You will architect core platform services, establish engineering standards, and build scalable AI solutions that enable teams to rapidly develop, deploy, and govern AI-powered applications and agents. In this role, you will: • Design and build the core architecture, frameworks, and shared services that power enterprise AI platforms and agent ecosystems. • Develop scalable AI capabilities including model orchestration, lifecycle management, governance, observability, and memory services. • Create reusable tools, patterns, and automation that accelerate AI agent development and deployment. • Establish best practices for cloud-native engineering, security, CI/CD, infrastructure as code, and platform reliability. • Mentor engineers and provide technical leadership through architecture reviews and engineering excellence. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. This role requires working from a Cognizant or client office in New York, NY on designated days each week. What you need to have to be considered • Extensive experience building and operating large-scale, production-grade software platforms. • Strong expertise in Python and at least one additional language such as Go, Java, or TypeScript. • Hands-on experience with Kubernetes, containers, Terraform, CI/CD, and cloud-native architectures. • Deep knowledge of Generative AI, LLMs, agent frameworks, RAG, orchestration, and AI platform technologies. • Experience implementing security, governance, observability, and enterprise-scale platform controls. • Proven ability to lead complex technical initiatives and influence engineering strategy. These will help you stand out • Experience with Google Cloud Platform, including GKE, Vertex AI, BigQuery, and IAM. • Expertise in multi-agent systems, AI governance, and model lifecycle management. • Familiarity with MLflow, OpenTelemetry, Delta Lake, Iceberg, Ray, DeepSpeed, or vLLM. • Experience building enterprise AI platforms or developer enablement frameworks. • Strong mentoring and technical leadership experience. Salary and Other Compensation: Applicants will be accepted till 10/30/2026 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* The annual salary for this position will be in the range of $140,000 - $160,000 depending on 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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • 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 Disclaimer: The salary, other compensation, and benefits 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. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! Apply Now! #LI-IK1 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.

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Must-haves

Principal Full-Stack AI Engineer - Platform Architect
Location: New York, NY (Hybrid)
Employment Type: Full-Time
Job ID: 00070578971
Design and build the core architecture, frameworks, and shared services that power enterprise AI platforms and agent ecosystems.
Develop scalable AI capabilities including model orchestration, lifecycle management, governance, observability, and memory services.
Create reusable tools, patterns, and automation that accelerate AI agent development and deployment.
Establish best practices for cloud-native engineering, security, CI/CD, infrastructure as code, and platform reliability.
Mentor engineers and provide technical leadership through architecture reviews and engineering excellence.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. This role requires working from a Cognizant or client office in New York, NY on designated days each week.
What you need to have to be considered
Extensive experience building and operating large-scale, production-grade software platforms.
Strong expertise in Python and at least one additional language such as Go, Java, or TypeScript.
Hands-on experience with Kubernetes, containers, Terraform, CI/CD, and cloud-native architectures.
Deep knowledge of Generative AI, LLMs, agent frameworks, RAG, orchestration, and AI platform technologies.
Experience implementing security, governance, observability, and enterprise-scale platform controls.
Proven ability to lead complex technical initiatives and influence engineering strategy.
These will help you stand out
Experience with Google Cloud Platform, including GKE, Vertex AI, BigQuery, and IAM.
Expertise in multi-agent systems, AI governance, and model lifecycle management.
Familiarity with MLflow, OpenTelemetry, Delta Lake, Iceberg, Ray, DeepSpeed, or vLLM.
Experience building enterprise AI platforms or developer enablement frameworks.
Strong mentoring and technical leadership experience.
Applicants will be accepted till 10/30/2026

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Keywords to mirror

aici/cdpythongojavatypescriptkubernetes

Platform: cognizant
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off

Parental Leave