Senior AI Platform Architect — GCP & Enterprise

Cognizant; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Cognizant in Nashville, TN, seeks a senior AI Architect to lead design and deployment of scalable Agentic AI platforms. You will bridge client teams and engineering pods, owning the architectural blueprint, security, and production readiness on GCP.

Responsibilities include setting end-to-end architectures, aligning EA and AI CoE with cloud engineering and security boards, and guiding multi-agent workflows with offshore teams. Remote involvement with travel may be required.

Qualifications

• Production Agentic AI experience in live enterprise production environments.
• Deep GCP expertise (Vertex AI, Cloud Run/Functions, IAM).
• Strong enterprise IT governance, security, and compliance knowledge.
• Excellent communication and executive presence with client stakeholders.
• Solid software engineering background with CI/CD for ML and observability.

Responsibilities

• Technical Leadership & Blueprinting: Design and own the end-to-end architecture for production-grade Agentic AI systems, transitioning prototypes into secure, highly available enterprise applications.
• Stakeholder & Partner Alignment: Serve as the primary onsite technical liaison interfacing directly with the client’s Enterprise Architecture (EA) teams, AI Center of Excellence (AI CoE), Cloud Engineering, and Information Security boards.
• Cross-Partner Collaboration: Collaborate with external technology partners to establish best practices, integrate third-party APIs, and align on shared integration patterns.
• GCP Infrastructure Design: Architect robust AI infrastructure leveraging Vertex AI, Gemini models, Cloud Run, Cloud Storage, and secure deployment pipelines.
• Agentic Workflow Design: Guide offshore engineering pods in multi-agent orchestration, RAG pipelines, and automated evaluation frameworks.

Job description

Cognizant in Nashville, TN, seeks a senior AI Architect to lead design and deployment of scalable Agentic AI platforms. You will bridge client teams and engineering pods, owning the architectural blueprint, security, and production readiness on GCP.

Responsibilities include setting end-to-end architectures, aligning EA and AI CoE with cloud engineering and security boards, and guiding multi-agent workflows with offshore teams. Remote involvement with travel may be required.