
Senior Director of Software Engineering – AI/ML, Ontology
Honeywell
full-time
Posted on:
Location Type: Hybrid
Location: Atlanta • United States
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Define and own the end-to-end software architecture for AI/ML-enabled platforms.
- Lead the design and implementation of scalable, production-grade AI/ML systems.
- Drive the development and adoption of enterprise ontologies and domain models.
- 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.
- Guide teams on model selection, training strategies, feature engineering, and MLOps.
- Evaluate and integrate emerging AI technologies, frameworks, and tools.
- Lead and develop a small, elite team of senior architects.
- Serve as a trusted technical advisor to senior leaders, clearly communicating complex architectural and AI concepts.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, or related field.
- 12 plus years of progressive software engineering experience, including senior leadership roles.
- Demonstrated, hands-on experience delivering AI/ML-powered production systems at scale.
- Deep expertise in ontology design, semantic modeling, knowledge graphs, or domain-driven data models.
- Strong background in cloud-native architectures, distributed systems, and modern software engineering practices.
- Proven ability to lead senior technical talent and influence across organizational boundaries.
- PhD or advanced research background in AI, ML, or knowledge representation (preferred).
- Experience with MLOps platforms, model governance, and AI lifecycle management (preferred).
- Familiarity with explainable AI, ethical AI, and regulatory considerations in enterprise environments (preferred).
- Prior experience in industrial, enterprise, or highly regulated domains (preferred).
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
- Educational Assistance
- Parental Leave
- Paid Time Off (for vacation, personal business, sick time, and parental leave)
- 12 Paid Holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMLsoftware architecturemodel governanceexplainable AIdata qualityMLOpsontology designsemantic modelingcloud-native architectures
Soft skills
leadershipcommunicationinfluencecollaborationtechnical advisory
Certifications
Bachelor’s degreeMaster’s degreePhD