AI Solution Architect

ROLE OVERVIEW
The AI Solution Architect will define and govern end-to-end architectures for secure, scalable, and interoperable AI solutions across NeGD and allied government platforms. The role will translate programme and business requirements into deployable technical designs spanning AI/ML services, data platforms, APIs, cloud and on-premise infrastructure, security, privacy, observability, and Responsible AI controls.

Educational Qualifications
B.Tech., M.Tech., M.S., or Ph.D. in Computer Science, Information Technology, Artificial Intelligence, or a related technical discipline.
Qualified cloud architecture certifications such as AWS Certified Solutions Architect Professional, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Qualified Cloud Architect are preferred.
Research publications, technical case studies, patents, or significant open-source contributions are preferred.

Experience
10+ years of total qualified experience in software, platform, cloud, data, or enterprise architecture roles.




At least 5 years designing AI/ML systems, platforms, or products.
Proven experience architecting and deploying multi-component AI solutions in government, public-sector, regulated, or large-enterprise environments.
Experience integrating AI services with existing enterprise applications, data platforms, identity systems, APIs, and digital-service ecosystems.
Demonstrated ability to evaluate architectural trade-offs across cloud-native, hybrid, on-premise, and sovereign deployment models.

Key Responsibilities
Design end-to-end solution architectures that embed AI/ML capabilities into NeGD and allied government applications, covering data ingestion, model development, orchestration, serving, integration, monitoring, and user-facing services.
Define integration standards, API contracts, interoperability patterns, and reference architectures for connecting AI systems with Digital India platforms and

📌 Solution Architect Delhi
🏢 Expertshub.ai
📍 Delhi