AI Architect

We are looking for an experienced Generative AI Architect / AI Platform Architect to assess, design, and enhance an enterprise AI platform.

The ideal candidate should have strong experience in Generative AI, LLMs, RAG, Agentic AI, AWS/Azure, Kubernetes, MLOps/LLMOps, enterprise integrations, security, governance, and production AI systems.

Key Responsibilities

• Assess and review the existing AEGIS AI platform architecture.

• Support production readiness and platform hardening.

• Define enterprise integration strategies and migration plans.

• Design scalable, secure, and production-ready AI platform architecture.

• Collaborate with engineering, cloud, security, and DevOps teams.

• Establish monitoring, observability, security, and governance best practices.

• Create technical documentation and implementation roadmaps.

• Support cloud and infrastructure optimization.

Required Skills

• 10+ years of IT experience.

• Strong Enterprise / Solution Architecture experience.

• Generative AI / LLM architecture.

• RAG and Agentic AI.

• AWS and/or Azure.

• Docker and Kubernetes.

• REST APIs and Microservices.

• MLOps / LLMOps.

• CI/CD / DevOps.

• AI Security and Governance.

• Monitoring / Observability.

• Strong stakeholder management skills.