Artificial Intelligence Architect

Key Responsibilities :

- Drive the adoption of event-driven and microservices architectures to ensure scalability, maintainability, and performance.

- Collaborate with cross-functional teams including data scientists, product managers, and frontend/backend engineers to design integrated AI solutions.

- Evaluate, select, and implement AI agent frameworks such as LangGraph, CrewAI, LlamaIndex, and ensure alignment with emerging standards like MCP and A2A.

- Define and implement best practices for API design, system security, identity and access management (RBAC, OAuth), and DevSecOps.

- Oversee implementation of modern frontend frameworks (React, Next.js, Vue.js) with an emphasis on responsive design, accessibility, and component-driven development.

- Optimize frontend-backend integration using RESTful and gRPC APIs in multi-user SaaS environments.

- Support CI/CD pipelines, container orchestration (Docker, ECS/EKS), and cloud infrastructure on AWS.

Required Skills & Experience :

- Hands-on experience with event-driven architecture, microservices, Docker, ECS/EKS, and API Gateways.

- Strong background in cloud-native architecture and AWS services.

- Familiarity with AI agent frameworks (LangGraph, CrewAI, LlamaIndex) and related orchestration standards (MCP, A2A).

- Expertise in frontend development with modern frameworks (React, Next.js, Vue.js), including component-driven design and state management.

- Proficiency in secure architecture design with RBAC, OAuth, and identity management systems.

- Strong understanding of REST/gRPC APIs, SaaS environments, and frontend-backend synchronization.

Preferred Qualifications :

- Knowledge of DevOps, MLOps, and automated deployment strategies.

- Contributions to open-source AI or architectural frameworks are a plus.