GenAI Architect

We are seeking an experienced GenAI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions. The ideal candidate will have deep expertise in AI/ML architecture, Large Language Models (LLMs), and cloud-native systems, with the ability to translate business requirements into scalable, secure, and high-performance GenAI platforms 10+ years of experience in AI/ML, Data Science, or Advanced Analytics. Strong hands-on and architectural experience with Generative AI and LLM-based systems. Expertise in RAG architectures, LangChain, LangGraph, and agentic frameworks. Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face. Experience working with vector databases including Pinecone, FAISS, Weaviate, and Chroma. Strong cloud experience across AWS, GCP, or Azure with AI/ML services. Experience designing microservices and API-based architectures. Excellent communication skills with strong stakeholder management capabilities. Define end-to-end architecture for Generative AI solutions, including LLMs, RAG frameworks, and Agentic AI systems. Lead architectural decisions for scalable, secure, and cost-optimized Generative AI platforms. Design and implement RAG pipelines, vector databases, and knowledge retrieval systems. Evaluate, select, and integrate LLMs such as OpenAI, Anthropic, and open-source models. Guide teams on prompt engineering, fine-tuning, model evaluation, and optimization. Collaborate with business stakeholders to translate use cases into technical architectures. Establish best practices for AI governance, security, privacy, and compliance. Mentor AI/ML engineers and data scientists, and review technical designs and code. Drive Generative AI adoption across enterprise applications and platforms. Calsoft is a leading technology-first partner, providing digital and product engineering services. For over 25 years, Calsoft has been helping its customers solve their business challenges using technologies in Storage, virtualization, networking, security, cloud, AI/ML, IoT, and telecommunications domains.