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Solutions Architect

Incedo Inc. · Gurugram

📅 13/08/2026
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About the Company Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people across the US, Canada, Latin America and India, and a large, diverse portfolio of Fortune 500 enterprises and fast-growing clients worldwide, we work across banking & payments, wealth management, telecom, hi-tech and life sciences. About the Role We are seeking a Solution Architect to define end-to-end architecture for AI-powered enterprise products. The ideal candidate should have extensive experience building scalable distributed systems, cloud-native platforms, and AI-enabled enterprise solutions. Key Responsibilities Define overall technical architecture for enterprise applications.Design scalable, secure, and distributed systems.Create solution blueprints covering applications, APIs, databases, security, and infrastructure.Collaborate with engineering teams to ensure architectural compliance.Drive technology evaluations and proof of concepts.Define integration patterns with enterprise platforms.Lead architecture governance and technical reviews.Work closely with Product and Engineering leadership. Qualifications 10+ years of software engineering experience.5+ years in Solution Architecture. Required Skills Expertise in microservices architecture.Experience designing large-scale distributed systems.Strong understanding of Cloud Architecture (Azure/AWS/GCP).Experience with containerization and Kubernetes.Strong API integration expertise.Knowledge of DevSecOps practices.Experience architecting AI-powered enterprise applications.Hands-on exposure to LLMs, RAG, AI Agents, and GenAI platforms.Experience with AI orchestration frameworks.Knowledge of Vector Databases and AI infrastructure.TOGAF or cloud certifications preferred. .
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