Role: AI Architect Location: PAN India Immediate to 30 Days Key Responsibilities • Design, develop, and deploy scalable software solutions leveraging modern architectures and cloud platforms. • Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes. • Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)   • Experience with traditional ML (classification, regression, NLP, time-series) • Develop and maintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems. • Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks. • Architect data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services. • Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions. • Ensure data quality, governance, and security across all data workflows. • Optimize system performance, reliability, and scalability across AI and data components. Key Skills & Experience • Strong experience in software development (Python 6+ yrs). • Hands-on experience with Agentic AI / autonomous agents, including: • Multi-agent orchestration • Tool usage & reasoning workflows • Prompt engineering and memory management • 2+ years experience with GenAI (LLMs, RAG, embeddings, prompt engineering)   • Solid background in data engineering, including: • Data pipelines, ETL/ELT processes • Data modeling and warehousing • Streaming and batch processing • Experience with cloud platforms (Azure preferred) and services like: • Azure Data Factory / Synapse / Databricks • Azure OpenAI / Cognitive Services • Familiarity with vector databases, embeddings, and RAG architectures. • Strong understanding of API design, microservices, and distributed systems. Preferred Qualifications • Degree: Bachelor's in computer science/IT or equivalent program (4 yrs) • Experience with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel). • Exposure to MLOps / LLMOps practices. • Experience building enterprise-grade AI copilots or automation solutions. • Knowledge of data governance and observability frameworks. What We Expect • Ability to operate in a fast-paced, client-facing environment. • Strong problem-solving and ownership mindset. • Capability to anticipate project needs, especially during client demos and critical delivery windows.