Role OverviewWe are seeking an experienced AI Architect to design, develop, and deliver scalable enterprise Artificial Intelligence solutions.
What You Will Do
The role focuses on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-based AI architectures.
Why It Might Be a Fit
The ideal candidate will bring strong hands-on Python development experience, enterprise architecture expertise, and the ability to lead AI solutions from design through production deployment.
Requirements
- 8–10+ years of relevant software engineering, AI engineering, or enterprise architecture experience
- Strong hands-on Python programming and backend application development
- Proven experience designing and implementing enterprise Generative AI and Large Language Model (LLM) solutions
- Hands-on experience with Agentic AI, autonomous AI agents, multi-agent systems, and agent orchestration
- Practical experience with LangChain and LangGraph for LLM workflows and agent-based applications
- Strong experience implementing Retrieval-Augmented Generation (RAG) solutions
- Experience with vector databases, embeddings, semantic search, and document retrieval architectures
- Experience designing and integrating LLM applications through REST APIs, FastAPI, or similar frameworks
- Strong understanding of enterprise AI architecture, distributed systems, microservices, and cloud-native applications
- Experience deploying AI applications on AWS, Microsoft Azure, or Google Cloud Platform
- Experience designing secure, scalable, reliable, and production-ready AI systems
- Understanding of AI model evaluation, LLMOps, monitoring, observability, security, and governance
- Experience collaborating with engineering teams, business stakeholders, and technical leadership
- Strong problem-solving, architecture design, and technical communication capabilities
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