Sr Director Software Engineering - AI & Ontology
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Role details
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Job description
Experteer Overview In this role, you will define and scale AI-enabled platforms with a focus on ontologies and knowledge representation. You will lead a cross-functional effort across engineering, data science, and business to deliver robust, explainable AI at scale. Youâll mentor senior architects and influence executives while aligning cloud, edge, and on-prem deployments with enterprise standards. Youâll drive strategy and hands-on execution to transform complex business challenges into scalable AI solutions. Compensation / Benefits * Define end-to-end software architecture for AI/ML platforms focusing on ontologies and knowledge models * Design and scale production-grade AI/ML systems, including data pipelines and model lifecycle management * Advance enterprise ontologies and domain models for interoperability and explainability * Ensure architectural alignment across cloud, edge, and on-prem environments * Establish best practices for model governance, XAI, data quality, security, and compliance * Partner with product, data science, and business leaders to plan AI/ML roadmaps * Guide model selection, training strategies, feature engineering, and MLOps for robust, scalable solutions * Influence enterprise standards and long-term AI, data, and software strategy * Collaborate with security, legal, and compliance teams for responsible AI deployment Tasks * 10+ years of progressive software engineering experience with cloud-native architectures, distributed systems, and modern practices * Hands-on experience with ontology design, semantic modeling, knowledge graphs, or domain-driven data models * Proven success delivering AI/ML-powered production systems at scale * Blend of hands-on technical depth and strategic leadership * US Person requirements (U.S. citizen, permanent resident, or eligible for export authorization) * Bachelorâs and advanced degrees in Computer Science, Engineering, AI, Data Science, or related field (valued) Key requirements * comprehensive benefits package * medical, dental, vision, and life insurance * Short-Term and Long-Term Disability * 401(k) match * Flexible Spending Accounts * Health Savings Accounts (HSA)â,âEmployee Assistance Program (EAP) and Educational Assistanceâ,âParental Leave and Paid Time Off including 12 paid holidaysâ]
Requirements
AI and compliance * Partner with product, data science, and business leaders to plan AI/ML roadmaps * Guide model selection, training strategies, feature engineering, and MLOps for robust, scalable solutions * Influence enterprise standards and long-term AI, data, and software strategy * Collaborate with security, legal, and compliance teams for responsible AI deployment Tasks * 10+ years of progressive software engineering experience with cloud-native architectures, distributed systems, and modern practices * Hands-on experience with ontology design, semantic modeling, knowledge graphs, or domain-driven data models * Proven success delivering AI/ML-powered production systems at scale * Blend of hands-on technical depth and strategic leadership * US Person requirements (U.S. citizen, permanent resident, or eligible for export authorization) * Bachelorâs and advanced degrees in Computer Science, Engineering, AI, Data Science, or related field (valued) Key requirements * comprehensive aaaaa
Benefits & conditions
aP_ package * medical, dental, vision, and life insurance * Short-Term and Long-Term Disability * 401(k) match * Flexible Spending Accounts * Health Savings Accounts (HSA)â,âEmployee Assistance Program (EAP) and Educational Assistanceâ,âParental Leave and Paid Time Off including 12 paid holidaysâ]
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