Hiring: Director of AI Engineering Company: Flexjet Location: Cleveland, OH Job Posted Time: 2026-09-10 13:45:59 Target Skills & Keywords : AWS, Agile, Azure, Bash, CI/CD, Data Pipeline, Docker, Feature Store, GCP, Git, Kubernetes, LLM, MLOps, Machine Learning, Python, RAG, Regulatory Compliance, Risk Management, SQL, Terraform About the job Experience: •10+ years of experience in software engineering, machine learning engineering, platform engineering, MLOps, or DevOps. •5+ years of leadership experience managing and mentoring technical teams in fast-paced, technology-driven environments. •Proven experience in leading application development teams in an enterprise environment. Required Skills: •Lead the strategy, architecture, and implementation of enterprise AI, Generative AI, and MLOps platforms while establishing standards for model development, deployment, monitoring, governance, and lifecycle management. •Design and scale cloud-native AI infrastructure, including distributed compute environments, containerized platforms, CI/CD pipelines, and cost-optimized ML operations. •Oversee the production deployment of machine learning and LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks, guardrails, and automated retraining processes. •Ensure compliance with responsible AI, security, risk management, data privacy, auditability, reproducibility, documentation, and regulatory requirements. •Build and manage reusable AI platform services and frameworks that support multiple data science and engineering teams. •Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering engineering excellence, innovation, talent development, and performance accountability. •Partner with Data Scientists, Software Engineering, Security, DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy with business objectives. •Communicate AI platform vision, roadmap, and operational performance to executive stakeholders. Qualifications: •Strong experience with MLOps and platform engineering, including model lifecycle management, CI/CD, model versioning, feature stores, experiment tracking, and automated retraining pipelines. •Proficiency with cloud and infrastructure technologies, including AWS, Azure, or Google Cloud Platform (GCP), Kubernetes, Docker, Terraform, and distributed systems. •Expertise in machine learning systems, including model deployment, monitoring and observability, data pipelines, and real-time inference architectures. •Strong programming skills in Python, SQL, Bash, Git, and CI/CD tools. •Operational familiarity with RAG architectures, vector databases, and LLM evaluation frameworks. •Knowledge of AI security, governance, risk management, and regulatory compliance frameworks. •Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education, training, and relevant professional experience. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!