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Gurugram · Hybrid · 6-9 Yrs · Sep 13
Business consulting · 10000+ Employees · Stamford, US
At Gartner, our teams work together to fuel the future of business and shape a more successful world. Our people are our most valuable asset, enabling us to get better, faster and stronger year after year. Looking for a place to thrive and make a visible impact? Gartner is the place for you. Head to our careers blog to take a behind-the-scenes look at our organization: https://jobs.gartner.com/life-at-gartner/ Gartner, Inc. (NYSE: IT) is the world’s leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. We are a trusted advisor and an objective resource for more than 14,000 enterprises in more than 100 countries — across all major functions, in every industry and enterprise size. To learn more about how we help decision makers fuel the future of business, visit gartner.com. Mission: We equip leaders with indispensable insights, advice and tools to achieve their mission-critical priorities and build the successful organizations of tomorrow. Learn more about Gartner here: https://jobs.gartner.com/
Hiring: Engineering
What employees say
+ Great work culture and wok life balance. Brand name gives to access to lot of CXO in the market.
− Difficult career growth and shift in job roles
More reviews on the company profile.
Interview experience · Manager, Dashboards & Reporting, Financial and Future Planning
I would like to share feedback about my interview experience for the Manager, Dashboards & Reporting role. I found the interview disappointing, particularly because the level and style of questioning did not seem al
Very_difficult difficulty · Gurgaon, Haryana · 423 reports
More interview insightsJob description
Overview
Join our Agentic AI Applications team to build the next generation of Gartner’s Sales and Service Delivery enablement tools.
Responsibilities
- Architect & Build Agentic Systems: Design and implement scalable, multi-agent architectures that autonomously retrieve, synthesize, and act upon complex data sets—including client intelligence, strategic priorities, and historical engagement & Interactions logs.
- Develop Advanced RAG Pipelines: Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence—spanning strategic client priorities, communication history, and value metrics—to ensure the AI possesses a holistic, real-time understanding of the client relationship.
- Orchestrate Complex Workflows: Build the logic that "connects the dots" across disparate systems, enabling the digital assistant to hand off tasks to specialized sub-agents or external APIs.
- Ensure Enterprise-Grade Reliability: Implement rigorous guardrails, security controls, and intent recognition layers to ensure the AI acts safely and accurately when handling sensitive data.
- Scale from Concept to Production: Lead the technical evolution of AI capabilities from experimental POCs to robust, high-availability systems, ensuring the platform scales effortlessly to support thousands of global users.
- Optimize Performance & Cost: Fine-tune LLM interactions and context window usage to balance latency, cost, and response quality, ensuring a seamless real-time experience for Sales and Service users.
- Collaborate & Mentor: Partner closely with Product Managers and Data Scientists to translate high-level business requirements into technical roadmaps, while mentoring junior engineers in best practices for AI application development.
- 4–6 years of professional software engineering experience, with a strong track record of shipping production-quality code.
- Deep proficiency in Python application development, including Fast API, asynchronous programming and performance optimization.
- Hands-on experience building AI applications using orchestration frameworks (specifically LangGraph or LangChain) and implementing Retrieval-Augmented Generation (RAG) using Vector Databases.
- Strong experience designing and deploying scalable solutions on AWS (e.g., Lambda, ECS/EKS, API Gateway, DynamoDB) and a strong background in distributed systems, APIs, microservices, container orchestration etc.
Qualifications
- Strong communication and collaboration skills to work effectively across time zones and global teams.
- LLM Tuning & Evaluation: Experience with prompt engineering strategies, evaluating LLM performance (using frameworks like RAGAS or TruLens), or fine-tuning open-source models (e.g., Llama).
- Infrastructure as Code: Familiarity with Terraform managing AWS infrastructure.
- DevOps Practices: Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and containerization (Docker/Kubernetes).
- Effective time management skills and ability to meet deadlines.
- Excellent communication skills for interacting with both technical and business audiences.
- Strong organization, multitasking, and prioritization abilities.
- Willingness and aptitude to embrace new technologies and rapidly master new concepts.
- Intellectual curiosity and passion for technology, with a drive to stay current with emerging trends.
- Commitment to delivering high-quality project work on time and within budget.
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Last updated 6 October 2026
- How do I apply for Sr Data Engineer (Python, SQL, AI Solutions) at Gartner?
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- Is Sr Data Engineer (Python, SQL, AI Solutions) remote or on-site in Gurugram, Haryana?
- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
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