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Lead AI Engineer Job Opening In Stamford – Now Hiring Gartner


Job description

About the Role

: Lead AI Engineer 

We are seeking a Lead AI Engineer to spearhead the end-to-end productionalization of AI initiatives across Gartner.

This pivotal role blends deep expertise in AI engineering with hands-on experience in MLOps, LLMOps, and DevOps, enabling the design, deployment, and scaling of enterprise-grade AI solutions that underpin our Consulting & Insight Technology strategy.

Key Responsibilities: 

  • Lead the full lifecycle of AI/ML model productionalization, establishing resilient MLOps and LLMOps pipelines for seamless model deployment, orchestration, and monitoring at scale.

  • Architect and implement scalable AI infrastructure and deployment strategies, ensuring robust integration with enterprise platforms and data ecosystems.

  • Define and enforce best practices for AI model lifecycle management, including version control, automated testing, monitoring, and CI/CD processes.

  • Build and maintain production-ready AI systems, driving the integration of advanced analytics and machine learning into core business processes.

  • Champion technical design sessions, mentor engineering teams, and cultivate expertise in modern AI engineering and MLOps tooling.

  • Develop and maintain automated frameworks for model validation, performance monitoring, and drift detection in production environments.

  • Collaborate closely with data science teams to operationalize experimental models, transforming prototypes into reliable, scalable solutions.

  • Continuously evaluate and adopt emerging technologies in AI engineering, MLOps, and LLMOps to enhance organizational AI capabilities.

  • Author comprehensive technical documentation, uphold coding standards, and ensure adherence to enterprise security, compliance, and governance requirements.

  • Required Qualifications: 

  • 4+ years of progressive experience in AI/ML engineering, with a proven track record of deploying and scaling AI solutions in production environments.

  • High proficiency in MLOps and LLMOps platforms (e.g., MLflow, Kubeflow, Weights & Biases).

  • Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation.

  • Advanced programming skills in Python, with deep familiarity in ML frameworks (TensorFlow, PyTorch, Scikit-learn).

  • Proficient in leveraging cloud platforms (AWS, Azure, GCP) and their native AI/ML services.

  • Solid experience in infrastructure as code (Terraform, CloudFormation) and configuration management.

  • Expertise in model monitoring, drift detection, and performance optimization for production models.

  • Strong understanding of data engineering pipelines and real-time data processing architectures.

  • Experience designing and developing APIs and working within microservices architectures.

  • Preferred Qualifications: 

  • Experience deploying Large Language Models (LLMs) and Generative AI solutions.

  • Knowledge of AI governance, model explainability, and responsible AI practices.

  • Exposure to edge computing and advanced model optimization techniques.

  • Familiarity with vector databases and retrieval-augmented generation (RAG) architectures.

  • Experience with data mesh architectures and modern data stack technologies.

  • Background in Agile/Scrum methodologies and technical team leadership.

  • Who You Are: 

  • Effective at managing time and meeting deadlines while leading complex AI initiatives.

  • Exceptional communicator, adept at engaging with technical teams, data scientists, and business stakeholders.

  • Highly organized, with strong multitasking, prioritization, and leadership abilities.

  • Eager to embrace and master emerging AI technologies and complex concepts rapidly.

  • Driven by intellectual curiosity and a passion for advancing AI engineering practices.

  • Demonstrated ability to deliver enterprise-scale AI projects on time, within budget, and to the highest standards of quality and reliability.

  • What you’ll receive:

  • Competitive compensation.
  • Limitless growth and learning opportunities.
  • A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
  • A chance to make an impact – your work will contribute directly to our strategy.
  • Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
  • 20+ PTO days plus holidays and floating holidays in your first year.
  • Extensive medical, dental insurance and vision plan.
  • 401K with corporate match, immediate vesting.
  • Health-and-wellness-related allowance programs.
  • Parental leave.
  • Tuition reimbursement.
  • Employee Stock Purchase Plan.
  • Employee Assistance Program.
  • Gartner Gives Charity Match.
  • And much more!

    What are we:

  • Action Oriented - Deliver fast, get great results.

    We embrace the vision, roadmap to success and the action it takes to make it happen.

  • Intellectually Curious - Seek to learn, love to teach.

    We’re humble and embrace respectful, radical candor with a mindset of ongoing professional and personal development.
  • Collaborative - One team, shared mission.

    We welcome feedback and understand the value of working together to accomplish more than what is possible individually.
  • #LI-JD6

    #LI-Hybrid

    #LI-Technology

    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 insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

    Since our founding in 1979, we’ve grown to more than 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 sustained success creates limitless opportunities for you to grow professionally and flourish personally.

    We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future.

    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.

    Gartner believes in fair and equitable pay.

    A reasonable estimate of the base salary range for this role is 116,000 USD - 163,000 USD.

    Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location.

    In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.

    Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates.

    We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


    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 .

    Job Requisition ID:103386

    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:


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

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Lead AI Potential: Insight & Career Growth Guide


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    Are You Looking for Lead AI Engineer Job?

    Great news! is currently hiring and seeking a Lead AI Engineer to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Gartner adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

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    The average salary range for a varies, but the pay scale is rated "Standard" in Stamford. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Lead AI Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Lead AI Engineer Job Success

    Gartner interview tips for Lead AI Engineer

    Here are some tips to help you prepare for and ace your Lead AI Engineer job interview:

    Before the Interview:

    Research: Learn about the Gartner's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

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    Final Thought:

    To prepare for your Lead AI Engineer interview at Gartner, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Gartner's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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