Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Honeywell

Senior Director, Software Engineering – AI, Ontology

Honeywell

Senior Director scaling AI platforms and enterprise ontologies for Honeywell’s automation, aerospace, and energy solutions. Defining architecture, guiding MLOps, and shaping responsible AI strategy.

Posted 8/5/2026full-timeAtlanta • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and owning software architecture for AI/ML platforms, with a strong focus on ontologies, semantic models, and model governance. Proven ability to lead scalable AI/ML systems and collaborate with cross-functional teams to drive high-value use cases and engineering roadmaps.

Highest-signal resume keywords
AI/ML System DevelopmentOntology DesignMLOps PlatformsCloud-Native ArchitecturesModel Governance

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringSemantic ModelingKnowledge RepresentationData Pipeline ManagementModel Lifecycle ManagementFeature EngineeringExplainable AIData Quality AssuranceSecurity ComplianceDistributed Systems
Soft Skills
Strategic LeadershipMentoringCollaborationInfluencing StakeholdersCross-Organizational Communication
Tools & Technologies
AI FrameworksMLOps ToolsCloud PlatformsData Science ToolsKnowledge Graphs
Industry Keywords
Enterprise OntologiesRegulatory ComplianceEthical AIIndustrial DomainsData Reuse

Tech Stack

Tools & technologies
CloudDistributed Systems

About the role

Key responsibilities & impact
  • Define and own end-to-end software architecture for AI/ML-enabled platforms, emphasizing ontologies, semantic models, and knowledge representation
  • Lead scalable, production-grade AI/ML systems, including data pipelines, model lifecycle management, and inference services
  • Drive development and adoption of enterprise ontologies and domain models for interoperability, reasoning, explainability, and data reuse
  • Ensure architectural alignment across cloud, edge, and on-premises deployments
  • Establish engineering best practices for model governance, explainable AI, data quality, security, and compliance
  • Partner with product, data science, and business leaders to identify high-value AI/ML use cases and create engineering roadmaps
  • Guide teams on model selection, training strategies, feature engineering, and MLOps
  • Evaluate and integrate emerging AI technologies, frameworks, and tools
  • Advise senior leaders on complex architectural and AI concepts
  • Influence enterprise standards and long-term AI, data, and software engineering strategy
  • Collaborate with global engineering, security, legal, and compliance teams on responsible AI deployment
  • Report directly to the VP Chief Technology Officer – Forge & AI
  • Mentor senior architects and influence executive stakeholders

Requirements

What you’ll need
  • 10+ years of progressive software engineering experience
  • Experience with 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
  • Combination of hands-on technical depth and strategic leadership experience
  • Must be a U.S. Person: U.S. citizen, U.S. permanent resident, protected status under asylum or refugee status, or able to obtain export authorization
  • Bachelor’s and advanced degrees in Computer Science, Engineering, AI, Data Science, or a related field are valued
  • 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
  • Ability to lead senior technical talent and influence across organizational boundaries

Benefits

Comp & perks
  • Employer subsidized Medical, Dental, Vision, and Life Insurance
  • Short-Term and Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • Health Savings Accounts
  • Employee Assistance Program (EAP)
  • Educational Assistance
  • Parental Leave
  • Paid Time Off for vacation, personal business, sick time, and parental leave
  • 12 Paid Holidays
  • Competitive salary
  • Leading-edge work
  • Developing solutions side-by-side with dedicated experts