AI Solutions Architect

Role Overview

Join our cutting-edge AI division to design and integrate Generative AI solutions for Fortune 500 clients. Deep expertise in LLMs and cloud infrastructure is required.

Key Responsibilities

• →Design and implement end-to-end AI architectures using cutting-edge LLMs (OpenAI, Anthropic, open-source models).
• →Work closely with clients to understand their business challenges and map them to AI capabilities.
• →Develop PoCs and production-ready AI pipelines (RAG, Agentic workflows).
• →Evaluate and select appropriate models, frameworks, and infrastructure for specific use cases.

Requirements

• Proven experience building and deploying machine learning or LLM-based applications in production.
• Strong proficiency in Python, LangChain, LlamaIndex, or similar AI frameworks.
• Familiarity with vector databases (Pinecone, Weaviate, Qdrant).
• Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI).
• Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders.