Senior Architect – Generative & Agentic AI
About the role
As a Senior Architect – Generative & Agentic AI, you will make an impact by defining and delivering enterprise-scale AI architectures that drive business transformation and innovation. You will be a valued member of the AI & Digital Engineering team and work closely with business leaders, AI strategists, and engineering teams to design scalable, secure, and high-performing AI solutions.
In this role, you will:
- Define and own enterprise-wide architecture for Generative AI and Agentic AI solutions aligned with business goals
- Design end-to-end AI systems, from model selection and context engineering to application integration and deployment
- Lead development of reusable frameworks, accelerators, and multi-agent architectures for enterprise use cases
- Drive prototyping, PoCs, and MVP initiatives to validate AI solutions across industries
- Establish governance, standards, and best practices for AI lifecycle, ethics, security, and performance
Work model
At Cognizant, we strive to provide flexibility wherever possible, while supporting a healthy work-life balance through various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a Cognizant office in Chennai, Bangalore, or Hyderabad.
The working arrangements for this role are accurate as of the date of posting and may evolve based on project and client requirements.
What you need to have to be considered
- 15+ years of IT experience, including 5+ years in AI/ML and hands-on experience in Generative AI / Agentic AI
- Strong expertise in designing and implementing Generative AI and multi-agent systems at enterprise scale
- Proven experience in enterprise architecture, including frameworks such as TOGAF or Zachman
- Hands-on experience with cloud AI platforms such as AWS (SageMaker, Bedrock), Azure AI (Studio/Foundry), or Google Vertex AI
- Experience defining AI governance models, compliance frameworks, and enterprise AI strategies
- Ability to design scalable architectures integrating AI platforms across enterprise ecosystems
- Strong stakeholder management skills with experience working with senior leadership
These will help you stand out
- Exposure to enterprise GenAI solutions such as Salesforce Einstein GPT, ServiceNow Now Assist, SAP Joule, Workday AI, or Oracle AI Services
- Experience with hybrid and multi-cloud AI deployment models
- Knowledge of AI observability, agent lifecycle management, and interoperability standards
- Experience mentoring architects and leading high-performing AI engineering teams
- Active participation in AI communities, industry forums, or thought leadership initiatives
Why consider this role?
We're excited to meet professionals who are passionate about shaping the future of AI and driving real-world impact through innovation. Even if you don’t meet every requirement, we encourage you to apply and bring your unique perspective to the 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.
