Software Engineer - Machine Learning / Artificial Intelligence

Software Engineer_ML/AI_2to4yrs_Chennai

About Gartner IT:

Join a world-class team of skilled engineers to build innovative digital solutions that empower our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values a culture of continuous innovation, an outcome-driven approach to success, and the belief that great ideas can come from anyone on the team.

About the Role:

AI engineer -- Agentic AI Join our AI engineering team building the next generation of Gartner's AI platform. You'll tackle challenges at the intersection of search, reasoning, and knowledge representation - building systems that need to be both highly accurate and explainable. This is production engineering at scale: real users, measurable business impact, and technical problems that don't have textbook answers. If you're excited about building AI that actually works in the real world, not just in demos, this is the role.

What You’ll Do:

• AI systems that connect users with the right information, expertise, or insights at scale -- handling tens of thousands of requests with high accuracy and explainability requirements.

• Intelligent architectures that combine retrieval, reasoning, and decision-making -- orchestrating multiple AI capabilities to solve complex matching and recommendation problems

• Knowledge representation systems that capture relationships between entities, discover patterns, and enable sophisticated queries beyond simple similarity search

• Production ML pipelines that handle real-world constraints: limited labeled data, noisy inputs, evolving requirements, and the need for both speed and accuracy Evaluation and optimization frameworks to continuously improve AI system performance -- measuring what matters and iterating based on real user outcomes Scalable deployment infrastructure that takes AI from prototype to production, serving live traffic with reliability and cost-efficiency

What You’ll Need:

• 2–4 years building ML/NLP systems with real-world deployment

• Strong Python + experience with modern LLM frameworks (LangChain, LangGraph, or similar)

• Built or deployed RAG systems beyond tutorials

• Worked with graph databases or knowledge graphs

• Shipped APIs serving real traffic

• Comfortable with ambiguity - we're solving new problems, not following playbooks

Who You Are:

• 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.

Don’t meet every single requirement? We encourage you to apply anyway. You might be the right candidate for this, or other roles.

#VG-LI1

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 21,000 associates globally who support ~14,000 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.

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.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

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 ApplicantAccommodations@gartner.com.

Job Requisition ID:106983

By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.

Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy

For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Experience Level

Mid Level