AI - Integration Application Architect

Job Summary
We are looking for an experienced AI Solutions Architect to design, develop, and integrate AI-powered solutions into enterprise applications and core business systems. The ideal candidate will have strong experience in application and solution architecture, with hands-on expertise in AI/ML integration, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-based AI platforms.

The candidate will be responsible for designing scalable AI architectures, integrating LLMs and AI frameworks, building RAG pipelines, and ensuring secure, reliable, and efficient deployment of AI solutions across the enterprise technology ecosystem.

Key Responsibilities
Design and define solution architectures for integrating AI models into enterprise applications and core business systems.
Integrate Large Language Models (LLMs) and AI frameworks using tools such as LangChain and Microsoft Semantic Kernel.
Design, develop, and implement Retrieval-Augmented Generation (RAG) pipelines.
Work with vector databases to support semantic search, embeddings, and AI-powered knowledge retrieval.
Develop and integrate REST APIs, microservices, and event-driven architectures to connect AI capabilities with existing applications.
Evaluate AI platforms and technologies based on cost, scalability, performance, security, and compliance requirements.
Ensure data privacy, model governance, risk management, and monitoring for production AI solutions.
Establish best practices for AI solution deployment, performance optimization, and operational monitoring.
Collaborate closely with Data Science, Application Development, Cloud, Infrastructure, and Security teams.
Provide technical leadership and architectural guidance throughout the AI solution development lifecycle.