GenAI Architect - Data Science

Role Overview: You are being hired for a global consulting organization that is leading AI-led transformation by developing production-grade GenAI solutions for enterprise clients. The job involves two roles: GenAI Developer and AI Architect. Key Responsibilities for GenAI Developer (4+ Years): - Demonstrating strong expertise in Python - Utilizing hands-on experience with LLMs, RAG, LangChain / LlamaIndex - Having exposure to vector databases such as Pinecone, FAISS, Weaviate - Working with OpenAI / open-source LLM integrations - Possessing working knowledge of cloud platforms like AWS, GCP, Azure Key Responsibilities for AI Architect (915 Years) (High Priority): - Designing end-to-end GenAI architecture including LLMs, RAG, and Agentic systems - Orchestrating LLM and prompt engineering strategy - Implementing Azure OpenAI / AWS Bedrock in production - Developing scalable SaaS architecture, microservices, and distributed systems - Understanding AI governance, observability, and evaluation - Preference for client-facing / pre-sales experience Qualifications Required: - For GenAI Developer role: Minimum 4 years of experience in relevant field - For AI Architect role: Minimum 915 years of experience with priority given to immediate joiners - Strong understanding of AI technology and its applications - Familiarity with cloud platforms and open-source integrations - Experience in designing and implementing AI solutions for enterprise clients Additional Company Details: You will have the opportunity to work with a fast-growing global consulting firm that has a presence in the US, Europe, Middle East, and APAC regions. The role offers direct exposure to global clients and enterprise-scale AI programs. You will benefit from a strong learning ecosystem with sponsored certifications, high-impact roles with quick interview turnaround, and hybrid flexibility with global mobility opportunities. Architect roles are critical and fast-tracked in this organization. Role Overview: You are being hired for a global consulting organization that is leading AI-led transformation by developing production-grade GenAI solutions for enterprise clients. The job involves two roles: GenAI Developer and AI Architect. Key Responsibilities for GenAI Developer (4+ Years): - Demonstrating strong expertise in Python - Utilizing hands-on experience with LLMs, RAG, LangChain / LlamaIndex - Having exposure to vector databases such as Pinecone, FAISS, Weaviate - Working with OpenAI / open-source LLM integrations - Possessing working knowledge of cloud platforms like AWS, GCP, Azure Key Responsibilities for AI Architect (915 Years) (High Priority): - Designing end-to-end GenAI architecture including LLMs, RAG, and Agentic systems - Orchestrating LLM and prompt engineering strategy - Implementing Azure OpenAI / AWS Bedrock in production - Developing scalable SaaS architecture, microservices, and distributed systems - Understanding AI governance, observability, and evaluation - Preference for client-facing / pre-sales experience Qualifications Required: - For GenAI Developer role: Minimum 4 years of experience in relevant field - For AI Architect role: Minimum 915 years of experience with priority given to immediate joiners - Strong understanding of AI technology and its applications - Familiarity with cloud platforms and open-source integrations - Experience in designing and implementing AI solutions for enterprise clients Additional Company Details: You will have the opportunity to work with a fast-growing global consulting firm that has a presence in the US, Europe, Middle East, and APAC regions. The role offers direct exposure to global clients and enterprise-scale AI programs. You will benefit from a strong learning ecosystem with sponsored certifications, high-impact roles with quick interview turnaround, and hybrid flexibility with global mobility opportunities. Architect roles are critical and fast-tracked in this organization.