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..
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
Es posible que se requiera que los solicitantes asistan a entrevistas en persona o por videoconferencia. Además, es posible que se requiera que los candidatos presenten su identificación actual emitida por el estado o gobierno durante cada entrevista.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Si tienes una discapacidad que requiere adaptaciones razonables para buscar una vacante de trabajo o enviar una solicitud, puedes enviar un correo electrónico a [email protected] con tu solicitud e información de contacto.










