Director of AI Engineering
flexjet usAkron, OH
Director of AI Engineering
flexjet usAkron, OHManager L7
Overview:
In this role you will lead the design, deployment, and operation of enterprise-scale AI systems, including ML and Generative AI. You will build and govern scalable AI platforms, driving MLOps, cloud infrastructure, and model lifecycle management. You will lead AI engineers and MLOps specialists to deliver secure, compliant production AI across the organization. This role partners with data science, software, security, and product leadership to enable enterprise AI adoption and impact business objectives. You will communicate platform strategy to executives and shape the future of AI at Flexjet.
Responsibilities:
Define strategy and architecture for enterprise AI, GenAI, and MLOps platforms and establish standards for development, deployment, governance, and lifecycle management Design and scale cloud-native AI infrastructure (distributed compute, containers, CI/CD, cost optimization) Oversee production deployment of ML and LLM-powered apps (RAG, AI copilots, evaluation frameworks, guardrails, retraining) Ensure responsible AI, security, privacy, auditability, and regulatory compliance Build reusable AI platform services to support multiple data science and engineering teams Lead, mentor, and grow AI and MLOps teams with a focus on excellence and accountability Partner with Data Scientists, Software, Security, DevOps, and Product leadership to drive adoption and align strategy Communicate AI platform vision, roadmap, and performance to executives
Key requirements:
10+ years in software/machine learning/platform engineering, MLOps, or DevOps 5+ years in leadership, managing technical teams in fast-paced environments Experience deploying complex, integrated information systems in an enterprise Experience leading application development teams in large organizations Experience with Agile methodologies Experience managing large projects with deadlines, dependencies, and stakeholder communication Strong experience with MLOps and platform engineering (model lifecycle, CI/CD, versioning, feature stores, experiment tracking, retraining) Proficiency with AWS, Azure, or GCP; Kubernetes, Docker, Terraform; distributed systems Expertise in ML systems (deployment, monitoring, data pipelines, real-time inference) Experience with Generative AI/LLMs, RAG, prompt orchestration, governance, guardrails, and cost optimization Strong programming: Python, SQL, Bash, Git, CI/CD tools leadership and mentoring cross-functional collaboration strong communication with executives MLOps and platform engineering Cloud infrastructure (AWS/Azure/GCP) Kubernetes, Docker, Terraform
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Level
Manager L7
Location
Akron, OH
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
today