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# Sr Director Software Engineering - AI & Ontology

- **Company:** Honeywell International Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Distributed Systems, Graph Database, Software Architecture, Azure Machine Learning, Software Engineering, Feature Engineering, Model Validation, Knowledge Representation, Information Technology, Machine Learning Operations, Domain Driven Design, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/sr-director-software-engineering-ai-and-ontology-atlanta-ga-usa-58815379

## About the Role

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) * Bachelor's and advanced degrees in Computer Science, Engineering, AI, Data Science, or related field (valued) Key requirements * comprehensive aaaaa

## 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. You'll mentor senior architects and influence executives while aligning cloud, edge, and on-prem deployments with enterprise standards. You'll 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) * Bachelor's 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)","Employee Assistance Program (EAP) and Educational Assistance","Parental Leave and Paid Time Off including 12 paid holidays"]


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