Lead AI Engineer; ML Ops

Position: 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 Dev Ops, 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 Dev Ops 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 (Tensor Flow, PyTorch, Scikit-learn).

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

* Solid experience in infrastructure as code (Terraform, Cloud Formation) 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…