Level

Gartner

Principal Software Engineer- NLP, Gen AI, ML

AI in this role

openaianthropicllama
ragnlp

About this role:

Principal Software Engineer (AI) position having experience in classic and generative AI techniques, and responsible for architecture, implementation, deployment, and support of Python based applications to help fulfill our Consulting & Insights Delivery strategy.


What you’ll do:

  • Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs.
  • Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives.
  • Continuously improve models through experimentation and optimization techniques.
  • Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing
  • Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives.
  • Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.
  • Create Data Science packages and APIs for use across the organization
  • Mentor members of the team on effective technical practices and non-technical acumen
  • Be accountable for the scalability, stability, and business adoption of data science solutions

 

What you’ll need:

8-10 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Demonstrated ability to provision packages and APIs for production data science code in short development cycles.


Must have:

  • Education qualification as graduate or postgraduate degree in Engineering or Data Science is required.
  • Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
  • Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes.
  • Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.
  • Ability to work collaboratively across business, data science and technical stakeholders.
  • Experience with frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability.
  • Experience with agentic AI frameworks, RAG, embedding models, vector DBs
  • Experience deploying applications to cloud platforms such as Azure or AWS.

Who you are:

  • Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders.
  • Effective time management skills and ability to meet deadlines.
  • Excellent communications skills interacting with technical and business audiences.
  • Excellent organization, multitasking, and prioritization skills.
  • Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly.
  • Intellectual curiosity, passion for technology and keeping up with new trends.
  • Delivering project work on-time within budget with high quality.
  • Demonstrated ability to run short development cycle.

 

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

#LI-JJ3

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.


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:113692

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How we rate this

Principal Software Engineer- NLP, Gen AI, ML at Gartner rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGNLPOpenAIAnthropicLlama

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used Anthropic hands-on?
  5. Walk me through how you've used Llama in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, NLP, OpenAI, Anthropic, and Llama. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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