
GenAI Architect
Primary stack
Nice to have's
Job description
GenAI Architect
Date published: Sep 18, 2026
Location: Brooklyn, United States
Job category: Digital
Work model: Work from Office
About the Position
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.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- 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 Offer
- Compensation: Annual salary between $130,000 - $155,000 depending on experience and qualifications.
- 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 the Company
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 follow us on Twitter.
Application Process
Applications will be accepted until October 04, 2026. 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.
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] with your request and contact information.
Apply now
© Cognizant Technology Solutions. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cognizant (Nasdaq-100: CTSH) 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 US, Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital atwww.cognizant.comor follow us @Cognizant.
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