About the role
As a Solution Architect – Agentic AI, you will make an impact by leading the end-to-end architecture, design, and realization of Agentic and Generative AI solutions for enterprise clients, translating business problems into scalable, secure, and responsible AI-driven architectures. You will be a valued member of the AI solutioning team and work collaboratively with business stakeholders, product owners, data scientists, engineers, and security teams, and clients.
In this role, you will
- Design end-to-end Agentic and Generative AI architectures, including LLM selection, agent orchestration, memory, tools, and human oversight mechanisms, covering data ingestion, vector stores, prompt engineering, retrieval-augmented generation (RAG), agent workflows, APIs, and integration layers.
- Architect multi-agent systems capable of autonomous task planning, execution, reflection, and escalation within defined guardrails.
- Embed Responsible AI principles including fairness, explainability, transparency, human oversight, blast radius, and kill-switch mechanisms, and ensure compliance with AI governance standards, enterprise security policies, and regulatory frameworks.
- Translate business use cases into AI solution blueprints, reference architectures, and implementation roadmaps, and provide technical leadership to delivery teams across PoCs, pilots, and production deployments.
- Support pre-sales, RFPs, solutioning, and deal credentialization, mentor architects and engineering teams, and contribute to internal accelerators, reusable assets, and best practices.
Work model
At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in PAN India. Regardless of your working arrangement, we are here to support a healthy work-life balance through 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 must have to be considered
- 10+ years of experience in solution architecture / enterprise architecture, with a recent focus on Generative AI and Agentic AI.
- Strong experience in solution architecture for AI / ML / GenAI systems on hyperscaler platforms, preferably GCP, Azure, and AWS, with hands-on knowledge of LLMs, prompt engineering, RAG, vector databases, and agent frameworks.
- Experience designing agentic workflows (planning, tool use, memory, reflection, human-in-loop), with proficiency in API-driven architectures, microservices, event-driven systems, containers, orchestration, and MLOps / LLMOps.
- Proven ability to produce solution architecture documents, reference architectures, and design artifacts, with a strong understanding of data pipelines, model lifecycle management, and system observability.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, with experience working in client-facing, consulting, or large-scale enterprise environments.
These will help you succeed
- Experience with agentic AI governance frameworks and autonomous system controls.
- Exposure to industry-specific Generative AI use cases, especially CMT (Communication, Media, Technology) as well as other domains such as Banking, Financial, Healthcare, Retail, and Manufacturing.
- Contributions to AI platforms, IPs, or internal accelerators.
- Strong stakeholder communication and storytelling skills for technical and non-technical audiences, with the ability to bridge business problems and AI-driven solutions.
- Doctor of Philosophy (PhD) degree in Computer Science, Engineering, or related field.
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..
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.
