Senior Agentic AI Engineer (Data Platforms)

Job Title: Senior Agentic AI Engineer (Data Platforms) Experience: 5 to 8 Years Location: Gurugram Work Mode: Work from Office Shift Timing: UK Shift (2PM 11PM) salary up to 30 lpa Role Summary We are seeking an experienced Senior Agentic AI Engineer (Data Platforms) to design and build intelligent AI-powered data platforms and autonomous agent workflows. The ideal candidate will have strong expertise in Python, AI/ML, Snowflake, cloud-native technologies, distributed systems, and modern data engineering practices, along with hands-on experience in building enterprise-grade Agentic AI solutions. Key Responsibilities Design and implement AI agents that automate data engineering, analytics, governance, and operational workflows. Develop multi-agent systems capable of planning, reasoning, execution, and feedback-driven adaptation. Build orchestration frameworks supporting both autonomous and human-in-the-loop workflows. Create reusable agent patterns, frameworks, and accelerators for enterprise data platform use cases. Required Qualifications 57 years of experience in Software Engineering, Platform Engineering, or Data Engineering. 3+ years of experience developing AI/ML-powered applications and platforms. Strong programming expertise in Python. Hands-on experience building and operating data platforms on Snowflake. Strong understanding of distributed systems, APIs, event-driven architectures, and workflow orchestration. Experience working with LLM frameworks and Agentic AI architectures. Deep understanding of modern data engineering practices and cloud-native technologies. Preferred Skills Experience with LangGraph, LangChain, OpenAI, Anthropic, or similar AI frameworks. Experience building autonomous AI agents for enterprise environments. Knowledge of Vector Databases, RAG (Retrieval-Augmented Generation), Knowledge Graphs, and Semantic Search. Hands-on experience with Snowflake, dbt, and modern data platform technologies. Understanding of Financial Services, Investment Management, or Alternative Asset Management data ecosystems. Experience building developer platforms, CLI-based tools, and internal engineering products. Technical Skills Python Agentic AI Large Language Models (LLMs) LangChain LangGraph OpenAI Anthropic Snowflake dbt APIs Event-Driven Architecture Workflow Orchestration Cloud-Native Technologies Vector Databases RAG Knowledge Graphs Semantic Search Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work in cross-functional Agile teams. Ownership, accountability, and a proactive mindset. Passion for innovation and AI-driven solutions. .