About Gartner IT:
Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
About the Role:
Gartner is looking for passionate, creative engineers who are excited to foray into any technology and create innovative products for end users. We are looking for exceptional talent for the Innovation Team which works on new growth products for the future. The team is responsible for R&D into new areas and come up with rapid solutions that can be taken to the market.
What you’ll do:
Be a part of a new energetic team of engineers delivering fresh Products.
Work as an AI/ML Engineer.
Work with Open-source frameworks and create new packages.
Work in a fast-paced environment along with passionate, technology rock stars.
Lead the design and delivery of ML features end-to-end: problem framing, data prep, modeling, evaluation, deployment, and monitoring.
Architect and ship GenAI applications — RAG pipelines, agentic workflows, MCP use, structured outputs — using LLMs from OpenAI, Anthropic, and other open-source models.
Own retrieval systems: embeddings, chunking strategies, hybrid search, re-ranking and relevance tuning at scale.
Design and maintain data pipelines (batch and streaming) that feed ML and GenAI workloads — ingestion, transformation, feature engineering.
Operationalize models: containerization, CI/CD, inference optimization, cost/latency tuning, drift and quality monitoring.
Follow coding standards, build appropriate unit tests, integration tests and deployment scripts.
Continuously problem-solve to create secure and simple solutions.
Create a robust backend for massive scalability and high performance.
Bring to life elegant and modern data solutions.
What you’ll need:
4 - 7 years of experience developing customer facing products or data applications.
Expertise in Production GenAI experience: building and scaling with LLM APIs, prompt engineering, RAG, embeddings, and rigorous evaluation of LLM outputs (faithfulness, hallucination, toxicity).
Strong hands-on AWS experience or similar (GCP/Azure) is required — model deployment and data infrastructure on services such as SageMaker, Bedrock, Lambda, ECS/EKS, S3, EMR, and OpenSearch Service
Experience with vector stores (FAISS, Pinecone, Milvus, Weaviate) and embedding model selection/evaluation.
Exposure to OpenSearch — hands-on experience with vector search, hybrid retrieval, ingest/search pipelines, k-NN queries, index design, and relevance tuning.
Exposure in implementing machine learning algorithms in PyTorch/TensorFlow/Spark plus scikit-learn.
Exposure to classical ML (regression, tree-based methods, gradient boosting) and deep learning (CNNs, RNNs, Transformers).
Ability to lead technical discussions, mentor others, and communicate trade-offs clearly to both engineering and product stakeholders.
Who you are:
Bachelor's or Master's degree in Computer Science or related engineering field w/experience in software development.
Excellent communication and interpersonal skills.
Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
Owns success – Takes responsibility for the successful delivery of the solutions.
Strong desire to improve upon their skills in tools and technologies
Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.
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Who are we?
At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work?
Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
Gartner is the world authority on AI
At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.
It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.
What do we offer?
Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
Ready to grow your career with Gartner? Join us.
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Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to [email protected].
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Gartner Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gartner and has not been reviewed or approved by Gartner.
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Strong & Reliable Incentives — Pay is considered strong in sales through robust commission structures with uncapped earning potential and accelerators. High performers can meaningfully increase total earnings when attainment aligns with targets.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, and vision plans, preventive care, mental health support via an EAP, and annual HSA contributions. Flexible care options and wellness resources add breadth.
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Parental & Family Support — Paid parental leave is offered for all parents, alongside programs for fertility, nursing, child, and elder care. Dependent care supports and family-focused resources reinforce work-life balance.
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Gartner, Inc. 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.
