Enterprise AI Architect (Bengaluru)

Enterprise AI Architect (Bengaluru)

12 Oct
|
Qfyre Techlabs
|
Bengaluru

12 Oct

Qfyre Techlabs

Bengaluru

About This Role

India's BFSI sector is running a 42 percent skills gap in AI and data roles, and organisations are offering 1.5x to 2.5x salary premiums to attract the specialists who can close it (People Matters). This role sits at the centre of that gap. The Enterprise AI Architect is accountable for the end-to-end architecture, engineering blueprint, deployment model, operational readiness, security, governance, and integration strategy of the client's enterprise AI systems, ensuring those systems operate as secure, scalable, compliant, and business-aligned across models, applications, infrastructure, data, networks, and external dependencies.

That means visibility across the entire chain: Business, Business Rules, AI Platform, Models, Data and Knowledge Graphs, APIs and Integration, Network, Infrastructure, Security, Deployment, Operations, and Monitoring.

What You Will Own

End-to-End AI System Architecture

• Define the overall architecture of AI systems across models, agents, applications, data, APIs, infrastructure, and external services
• Establish architecture principles,



reference architectures, and technology standards
• Define technology selection principles and coding standards, and the architecture standards followed by individual AI products
• Ensure architecture supports scalability, resilience, performance, and maintainability

Infrastructure and Deployment

• Define and approve the deployment architecture across cloud, on-premise, and hybrid environments, both for the client's own workplace and its enterprise customers' environments
• Define and approve requirements for Kubernetes, GPU infrastructure, storage, networking, and compute
• Establish and approve deployment, release, and rollback patterns for AI systems
• Define checklists and guidelines to ensure production-readiness of AI products

AI Engineering Ecosystem Development

• Define standardised, reusable capabilities consumed by all of the client's AI products, including foundation m

📌 Enterprise AI Architect (Bengaluru)
🏢 Qfyre Techlabs
📍 Bengaluru

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