Sr Director Software Engineering - AI & Ontology

About the role

As Senior Director Software Engineering - Artificial Intelligence (AI) & Ontology at Honeywell Technologies, you will be responsible for designing and scaling next-generation intelligent platforms. This role sits at the intersection of advanced engineering, data/AI strategy, and enterprise architecture, translating complex business and customer challenges into robust, scalable, and explainable AI-enabled solutions. The Senior Director will be both strategic and hands-on, setting technical direction while mentoring senior architects and influencing executive stakeholders. You will report directly to the VP Chief Technology Officer – Forge & AI and will work out of the Atlanta, GA office on a hybrid work schedule.

Responsibilities

• Define and own the end-to-end software architecture for AI/ML-enabled platforms, emphasizing ontologies, semantic models, and knowledge representation.
• Lead the design and implementation of scalable, production-grade AI/ML systems, including data pipelines, model lifecycle management, and inference services.
• Drive the development and adoption of enterprise ontologies and domain models to enable interoperability, reasoning, explainability, and data reuse across platforms.
• Ensure architectural alignment across cloud, edge, and on-prem deployments.
• Establish engineering best practices around model governance, explainable AI (XAI), data quality, security, and compliance.
• Partner with product, data science, and business leaders to identify high-value AI/ML use cases and translate them into executable engineering roadmaps.
• Guide teams on model selection, training strategies, feature engineering, and MLOps, ensuring solutions are robust, ethical, and scalable.
• Evaluate and integrate emerging AI technologies, frameworks, and tools with a pragmatic, value-driven mindset.
• Serve as a trusted technical advisor to senior leaders, clearly communicating complex architectural and AI concepts to both technical and non-technical audiences.
• Influence enterprise standards and long-term technology strategy related to AI, data, and software engineering.
• Collaborate closely with global engineering, security, legal, and compliance teams to ensure responsible AI deployment.

Qualifications

• 10+ years of progressive software engineering experience, including cloud-native architectures, distributed systems, and modern software engineering practices
• Hands-on experience with ontology design, semantic modeling, knowledge graphs, or domain-driven data models
• Demonstrated success delivering AI/ML-powered production systems at scale
• Blend of hands-on technical depth and strategic leadership experience
• Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

Skills

• Bachelor's and advanced degrees in Computer Science, Engineering, AI, Data Science, or related field
• Strong background in cloud-native architectures, distributed systems, and modern software engineering practices
• Experience with MLOps platforms, model governance, and AI lifecycle management
• Familiarity with explainable AI, ethical AI, and regulatory considerations in enterprise environments
• Prior experience in industrial, enterprise, or highly regulated domains
• Proven ability to lead senior technical talent and influence across organizational boundaries

Benefits

• Employer subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance
• Parental Leave
• Paid Time Off (for vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays