Systems Integration Advisor

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 .