Gartner · 16 hours ago
Lead AI Engineer (ML Ops)
Stamford, CT
Full-time
Hybrid
Senior Level, Lead/Staff
$116K/yr - $170K/yr
4+ years expGartner is a leading research and advisory company, and they are seeking a Lead AI Engineer to spearhead the end-to-end productionalization of AI initiatives. This role involves blending expertise in AI engineering with hands-on experience in MLOps to design, deploy, and scale enterprise-grade AI solutions.
Business DevelopmentConsultingInformation Technology
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
Qualification
Required
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
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
Benefits
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.
Company
Gartner
Gartner provides fact-based consulting services, helping clients use and manage IT to enhance business performance.
10001+ employees
H1B Sponsorship
Gartner has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (51)
2024 (43)
2023 (60)
2022 (66)
2021 (96)
2020 (71)
Funding
Current Stage
Public CompanyTotal Funding
$800M2025-11-13Post Ipo Debt· $800M
1993-10-15IPO
Leadership Team
Eugene Hall
CEO
Patrick Stakenas
Vice President, Team Manager - Tech CEO Go To Market - High Tech and Invest Research
Recent News
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2026-01-09
2025-12-13
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