Conde Nast

1 month ago

Solution Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead end-to-end architectural design across multiple domains within Condé Nast's engineering ecosystem, translating business and product vision into practical, scalable, AI-native solutions. Unite engineering, product and design teams to define the architecture, negotiate trade-offs, and ensure implementations align with strategy. Drive AI-native development practices, cross-geography collaboration, and early integration of architecture into product planning.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead end-to-end architectural design across domains, ensuring multiple sub-domains form a coherent ecosystem.
•Translate business ambition and product vision into practical, scalable AI-native end-to-end solutions.
•Guide key decisions, negotiate trade-offs, and oversee execution to strengthen product vision.
•Bring architecture into product planning early, acting as a co-designer from the start.
•Collaborate with peers and senior leaders to align architecture with business strategy and enable faster delivery.

Key Requirements

•15+ years of experience in software engineering building software products, at scale with at least 3 years as a Tech Lead, Staff Engineer, or Architect responsible for defining and delivering technology solutions across complex domains
•Expert fluency in at least 2 programming languages including Python, NodeJS; working knowledge of AI code generation tools (Codex/Claude Code/Cursor/GitHub Copilot/ Augment Code) change development workflows and code quality standards
•Good understanding of Agentic AI concepts and hands-on experience working on Agentic AI projects in production — including agent orchestration, LLM tool use, evaluation frameworks, guardrail design, and multi-agent pipeline architecture
•Demonstrable experience defining and governing AI-assisted development practices within an engineering organisation — including how agentic tooling integrates into CI/CD pipelines, code review, test automation, and production readiness standards
•Experience with cloud native ecosystems(AWS/Azure) with exposure on deployment infrastructure, observability, security and resilience paradigms

Experience:15+ yearsAICloudArchitectural designMultigeography

Skills:PythonNodeJSArchitectureCommunicationCollaborationAI toolingCI/CDObservabilitySecurityCloud

Tech Stack:PythonNodeJSAWSAzureGitHub CopilotCodexClaudeLLMAgentic AICI/CD

Company Brief

Conde Nast

Conde Nast is a global media company publishing premium magazines, digital brands, and video content across fashion, lifestyle, culture, and luxury sectors. It creates editorial, advertising, and branded-content experiences for audiences and marketers worldwide.

Industry: Publishing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York City, United States

Founded: 1909

Website LinkedIn

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Conde Nast

1 month ago

Solution Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead end-to-end architectural design across domains, ensuring multiple sub-domains form a coherent ecosystem.
•Translate business ambition and product vision into practical, scalable AI-native end-to-end solutions.
•Guide key decisions, negotiate trade-offs, and oversee execution to strengthen product vision.
•Bring architecture into product planning early, acting as a co-designer from the start.
•Collaborate with peers and senior leaders to align architecture with business strategy and enable faster delivery.

Key Requirements

•15+ years of experience in software engineering building software products, at scale with at least 3 years as a Tech Lead, Staff Engineer, or Architect responsible for defining and delivering technology solutions across complex domains
•Expert fluency in at least 2 programming languages including Python, NodeJS; working knowledge of AI code generation tools (Codex/Claude Code/Cursor/GitHub Copilot/ Augment Code) change development workflows and code quality standards
•Good understanding of Agentic AI concepts and hands-on experience working on Agentic AI projects in production — including agent orchestration, LLM tool use, evaluation frameworks, guardrail design, and multi-agent pipeline architecture
•Demonstrable experience defining and governing AI-assisted development practices within an engineering organisation — including how agentic tooling integrates into CI/CD pipelines, code review, test automation, and production readiness standards
•Experience with cloud native ecosystems(AWS/Azure) with exposure on deployment infrastructure, observability, security and resilience paradigms

Experience:15+ yearsAICloudArchitectural designMultigeography

Skills:PythonNodeJSArchitectureCommunicationCollaborationAI toolingCI/CDObservabilitySecurityCloud

Tech Stack:PythonNodeJSAWSAzureGitHub CopilotCodexClaudeLLMAgentic AICI/CD

Company Brief

Conde Nast

Industry: Publishing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York City, United States

Founded: 1909

Website LinkedIn