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

12+ 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.

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