Jobs at Gartner

Leads the design and development of generative and agentic AI applications using LLMs, NLP, deep learning, retrieval, RAG, and orchestration frameworks. Builds agent architectures, evaluation frameworks, data-processing pipelines, guardrails, and responsible AI controls. Optimizes models through prompting, reranking, embeddings, model selection, and fine-tuning. Translates business needs into measurable AI solutions, stays current with emerging technologies, leads technical discussions, and mentors team members.

Leads Gartner’s QA organization and establishes long-term quality engineering strategy, standards, testing processes, KPIs, and reporting. Manages and develops QA engineers and automation specialists while overseeing functional, non-functional, performance, security, and AI-driven testing. Directs automation framework development, test planning, Scrum coordination, project leadership, and cross-team collaboration.

Designs and governs enterprise multi-cloud architectures across AWS and GCP. Builds self-service capabilities, automation, and Infrastructure as Code; maintains cloud infrastructure documentation; manages IAM, security, compliance, monitoring, maintenance, incident recovery, and system upgrades. Partners with DevOps and application development teams to provision infrastructure, improve operational excellence, and resolve complex cloud issues in a globally distributed environment.

Leads research and advisory work on HR technology, with emphasis on talent management, learning and development, recruiting, and AI-enabled solutions. Develops independent market insights, evaluates vendors and emerging technologies, advises CHROs and senior clients, supports technology selection and strategy, and delivers presentations, briefings, and conference content. The role also includes peer collaboration, content review, mentoring junior analysts, and up to 25% regional and global travel.

Own quantitative market intelligence for global DRAM, HBM, and NAND Flash markets. Develop supply-demand, capacity, pricing, revenue, market-share, technology-transition, and application-demand forecasts. Maintain market models, trackers, databases, and scenario analyses; identify forecast risks and revise outlooks. Translate complex semiconductor data into written research, actionable recommendations, executive presentations, and client guidance while collaborating with adjacent technology analysts.