AI Solutions Architect

At CACTUS AI Solutions , we are building and deploying large-scale AI systems that power products and enterprise solutions across research, publishing, healthcare, BFSI, government, education, and enterprise transformation.

Our ecosystem powers platforms such as Paperpal , R Discovery , and Mind the Graph , and multiple enterprise AI solutions used by millions of users globally.

We are looking for a highly experienced and hands-on AI Solutions Architect who can lead the design, architecture, and technical strategy for enterprise-scale AI initiatives.

This role will play a critical part in shaping how AI solutions are designed, deployed, governed, and scaled across diverse enterprise and government-facing use cases.

The ideal candidate is someone who combines strong architecture fundamentals with deep AI/ML understanding, enterprise integration experience, cloud expertise, and practical knowledge of modern AI ecosystems including LLMs, RAG systems, vector databases, orchestration frameworks, and AI governance practices.

Note - For this role, we are looking for Delhi NCR based candidates only.

• Design and drive scalable, secure, and enterprise-grade architectures for AI/ML platforms, cloud-native applications, and distributed systems.
• Evaluate and recommend appropriate AI/ML models, LLMs, frameworks, and solution approaches, including Generative AI, RAG, semantic search, conversational AI, and intelligent automation.
• Define architecture standards, deployment strategies, integration patterns, and reusable solution frameworks across cloud, hybrid, and on-premises environments.
• Architect integrations with enterprise platforms using APIs, microservices, and event-driven architectures while ensuring performance, reliability, and scalability.
• Collaborate with engineering, AI/ML, DevOps, and MLOps teams to guide implementation, deployment, monitoring, and operational excellence.
• Drive architecture governance by embedding security, privacy, compliance, auditability, access controls, and Responsible AI practices into solution designs.
• Partner with business and technical stakeholders to translate requirements into scalable technical solutions and support technical proposals, architecture reviews, effort estimation, and solution documentation.
• Assess and leverage internal assets, open-source technologies, and third-party platforms to accelerate solution delivery and innovation.