Lead AI Engineer (ML Ops)

About Gartner IT 

Join a world-class team of forward-thinking engineers dedicated to delivering innovative digital solutions that empower our analysts and clients. At Gartner IT, we drive organizational transformation through advanced technology, fostering a culture of continuous innovation, outcome-oriented execution, and the belief that impactful ideas can originate from any team member. 

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 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.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 116,000 USD - 170,000 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 [email protected].

Job Requisition ID:106820

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