AI ARCHITECT

We are seeking a highly experienced AI Architect to design, architect, and lead the implementation of enterprise-scale AI/ML and Generative AI solutions . The ideal candidate will have strong expertise in LLMs, RAG, AI agents, cloud platforms, MLOps/LLMOps, and scalable solution architecture . This role will translate business requirements into secure, scalable, cost-effective AI architectures and provide technical leadership across AI, data, cloud, and engineering teams. Key Responsibilities Design end-to-end architectures for AI/ML, Generative AI, LLM, RAG, and Agentic AI solutions. Define scalable, highly available, secure, and cloud-native AI platforms. Evaluate and select appropriate LLMs, SLMs, ML models, embeddings, vector databases, and AI frameworks . Design RAG pipelines, prompt engineering strategies, model integration, and multi-agent workflows. Lead AI solution architecture from requirements gathering through development, deployment, and optimization. Establish MLOps/LLMOps standards for CI/CD, model lifecycle management, monitoring, evaluation, and observability. Design integrations with enterprise applications, APIs, databases, data platforms, and third-party services. Ensure AI solutions address security, privacy, governance, compliance, responsible AI, and data protection requirements. Optimize AI systems for performance, scalability, latency, reliability, and cost . Provide technical leadership, architecture reviews, mentoring, and guidance to AI/ML and engineering teams. Collaborate with business, product, data, cloud, security, and engineering stakeholders to define AI roadmaps and use cases. Create architecture diagrams, technical documentation, reference architectures, and implementation standards. Stay current with emerging technologies in GenAI, LLMs, AI agents, model optimization, and cloud AI platforms . Required Skills 8+ years of experience in software engineering, AI/ML, data, or solution architecture. Strong hands-on experience with AI/ML and Generative AI architecture . Expertise in Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, or similar. Strong knowledge of LLMs, prompt engineering, embeddings, RAG, vector databases, and AI agents . Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or similar . Strong experience with AWS, Azure, or GCP . Knowledge of Docker, Kubernetes, APIs, microservices, and distributed systems . Experience with MLOps/LLMOps, CI/CD, model monitoring, evaluation, and observability . Strong understanding of AI security, governance, privacy, and responsible AI practices. #J-18808-Ljbffr Signature IT World Inc