Cognizant Technology Solutions Corp logo

GenAI Architect

  • $130,000–$155,000 Per Year

Highlights

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. You will be a valued member of the AI and Engineering team and work collaboratively with product leaders, data scientists, engineers, enterprise architects, and key business stakeholders to develop scalable, secure, and responsible AI solutions.

Numbers & Facts

LocationBrooklyn, OH
IndustryComputer/IT Services
Salary$130,000–$155,000 Per Year
Company Size10,000 employees or more
Year Founded1994
Websitehttps://www.cognizant.com

Description

About the role:

As a GenAI Architect, you will make an impact by designing and delivering enterprise-scale Generative AI solutions that drive innovation across business and technology platforms. You will be a valued member of the AI and Engineering team and work collaboratively with product leaders, data scientists, engineers, enterprise architects, and key business stakeholders to develop scalable, secure, and responsible AI solutions.

In this role, you will:

  • Design and own end-to-end architecture for Generative AI powered products and platforms.
  • Lead the implementation of scalable AI solutions utilizing large language models (LLMs), multimodal models, RAG frameworks, and agent-based architectures.
  • Establish architecture standards, patterns, and best practices for prompt engineering, model orchestration, inference optimization, and AI governance.
  • Partner with product and engineering teams to translate business requirements into AI-enabled capabilities and technical solutions.
  • Ensure all AI solutions align with security, compliance, privacy, and responsible AI standards while delivering business value.

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 requiring 3-4 days a week in a client or Cognizant office in Brooklyn, Ohio. Regardless of your working arrangement, we are here to support a healthy work-life balance though 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:

  • 8+ years of experience in software architecture, platform engineering, machine learning engineering, or a related technical leadership role.
  • 2+ years of hands-on experience designing and implementing Generative AI solutions in enterprise environments.
  • Strong expertise with large language models, foundation models, embeddings, prompt engineering, and AI agent frameworks.
  • Experience designing and deploying Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI orchestration frameworks.
  • Strong programming experience with Python, Java, or similar enterprise development languages.
  • Experience with Google Cloud Platform (GCP), cloud-native architectures, Kubernetes, containerization, and CI/CD pipelines.
  • Knowledge of MLOps practices including model deployment, monitoring, versioning, and performance optimization.
  • Experience in implementing AI security controls, governance frameworks, responsible AI principles, and privacy standards.
  • Strong understanding of microservices, event-driven architectures, APIs, and distributed systems.

These will help you stand out:

  • Experience in integrating GenAI capabilities into customer-facing digital products.
  • Knowledge of multi-agent architectures, workflow automation, and intelligent orchestration platforms.
  • Experience with knowledge graphs, metadata-driven architectures, and unstructured data processing.
  • Background in regulated industries with enterprise AI governance requirements.
  • Familiarity with open-source AI ecosystems and model customization techniques.
  • Experience with A/B testing, feature experimentation, and AI product lifecycle management.
  • Understanding of cost optimization and low-latency inference strategies for production AI systems.

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 September 13, 2026.

The annual salary for this position is between $ 130,000 - $ 155,000 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.

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.

About Company

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 230 on the Fortune 500 and is consistently listed among the most admired companies in the world.

We're driven by a passion to help our clients build stronger, more agile and more innovative businesses.

Cognizant enables global enterprises to address a dual mandate: to make their current operations as efficient and cost-effective as possible and to invest in innovation to unleash new potential across their organizations.

What makes Cognizant unique is our ability to help clients meet both challenges. We help them enhance productivity by ensuring that vital business functions work faster, cheaper and better. And, our ability to conceptualize, architect and implement new and expanded capabilities allows clients to transform legacy models to take their business to the next level.

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