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Lead AI security and MLSecOps architecture across o9’s GenAI platform and enterprise security environments. Design agent governance, model-risk controls, RAG and prompt security, AI supply-chain protections, telemetry pipelines, detection engineering, and autonomous security agents. Build ML-driven threat detection, identity risk scoring, SOAR enrichment, and predictive remediation capabilities. Provide technical leadership, research emerging AI security methods, establish governance aligned with industry frameworks, and mentor security and ML engineers.

Lead AI security and MLSecOps architecture across o9’s GenAI platform and enterprise security environments. Design agent governance, model-risk controls, RAG and prompt security, telemetry pipelines, detection engineering, autonomous security agents, and ML-powered threat detection. Establish AI governance aligned with major security frameworks, secure cloud and Kubernetes infrastructure, advance DevSecOps observability, and mentor engineers across AI and cybersecurity disciplines.

Owns AI platform security and MLSecOps architecture, including agent governance, model risk management, RAG and prompt security, autonomous security agents, ML-driven threat detection, telemetry pipelines, detection engineering, DevSecOps, and AI security compliance. The role provides technical leadership, conducts security research, and mentors engineering teams across large-scale cloud and Kubernetes environments.

Support o9 customers after implementation by maintaining platform operations, resolving batch and system issues, analyzing logs and data, and meeting customer SLAs. Collaborate with DevOps, Support, Product, and customer teams; manage data using ETL and analytics tools; develop automation scripts; support CI/CD; monitor performance; maintain data integrity; execute integration testing; resolve bugs; and contribute to upgrades, onboarding, and production reliability.

Design and implement enterprise data integration solutions for supply chain planning and logistics platforms. Develop scalable ETL pipelines, data models, SQL transformations, and distributed data processing workflows using SQL Server, Delta Lake, Spark, PySpark, and related technologies. Perform data validation, testing, reconciliation, deployment support, and defect resolution. Collaborate with architects and engineering teams while documenting technical designs and integration logic throughout the implementation lifecycle.

Designs and implements supply chain planning solutions on the o9 platform. Responsibilities include gathering business requirements, collecting and integrating enterprise data, configuring technical solutions, developing forecasting and optimization models, testing workflows, resolving solution gaps, supporting deployments, training global users, and mentoring junior analysts. The role collaborates with architects, research teams, IT, business stakeholders, and customers throughout implementation, from requirements and design through UAT, go-live, and value realization.

Manage and support cross-functional HR and People initiatives from planning through completion. Establish plans, ownership, timelines, communications, risks, and follow-up; coordinate stakeholders and maintain leadership visibility. Support recurring HR processes, annual strategy and goal setting, leadership sessions, post-project reviews, and process improvements. Use project management software and generative AI tools to automate workflows and improve efficiency.

Lead end-to-end implementation of o9 retail planning solutions, from requirements workshops and solution blueprinting through configuration, testing, go-live, training, and support. Translate retail planning needs into scalable platform designs, coordinate issue resolution, monitor performance, support demonstrations, improve internal processes, and mentor junior team members. The role requires deep expertise in retail planning processes, supply chain operations, implementation methodologies, and customer-facing consulting.

Corporate Counsel role at o9, an AI-powered enterprise planning technology company. The provided description focuses primarily on the company’s mission, culture, global presence, and growth, without specifying detailed legal responsibilities or qualifications.

Leads the architecture, development, deployment, and optimization of production AI systems. Translates enterprise problems into mathematical, statistical, and agentic models; designs deep learning solutions; oversees model lifecycles; optimizes performance through distributed training, pruning, quantization, and accelerator techniques; establishes AI architecture standards; mentors technical teams; and evaluates emerging frameworks, tools, and cloud platforms.