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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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.