Sr Director Software Engineering - AI & Ontology

Honeywell
Atlanta
Workplace: HybridFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: mastersSkills: ["Strategic leadership","Architectural leadership","Stakeholder communication","Mentoring","Influencing across boundaries"]

Lead the end-to-end architecture and scaling of next-generation AI/ML-enabled platforms, with a focus on ontologies, semantic models, and knowledge representation. Own production-grade system delivery across data pipelines, model lifecycle management, and inference services, while driving enterprise ontology adoption for interoperability, reasoning, and explainability. Partner with product and data science leaders to translate AI use cases into technical roadmaps, and influence standards across cloud, edge, and on-prem deployments.

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Honeywell
Honeywell
1 day ago

Sr Director Software Engineering - AI & Ontology

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead the end-to-end architecture and scaling of next-generation AI/ML-enabled platforms, with a focus on ontologies, semantic models, and knowledge representation. Own production-grade system delivery across data pipelines, model lifecycle management, and inference services, while driving enterprise ontology adoption for interoperability, reasoning, and explainability. Partner with product and data science leaders to translate AI use cases into technical roadmaps, and influence standards across cloud, edge, and on-prem deployments.
Location: Atlanta
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Director level

Key Responsibilities

  • •Define and own end-to-end software architecture for AI/ML-enabled platforms emphasizing ontologies, semantic models, and knowledge representation.
  • •Lead design and implementation of 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 to enable interoperability, reasoning, explainability, and data reuse.
  • •Partner with product, data science, and business leaders to identify high-value AI/ML use cases and translate them into executable engineering roadmaps.
  • •Establish engineering best practices around model governance, explainable AI (XAI), data quality, security, and compliance.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife Insurance401kPaid LeaveParental LeaveDisability InsuranceEap

Key Requirements

  • •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.
  • •Proven success delivering AI/ML-powered production systems at scale.
  • •Blend of hands-on technical depth and strategic leadership experience.
  • •Bachelor’s and advanced degrees in Computer Science, Engineering, AI, Data Science, or related field.
Experience:10+ yearsAI/MLMLOpsKnowledge graphsCloud-nativeEnterprise software
Education:Master's in Computer Science, Engineering, AI, Data Science
Skills:Strategic leadershipArchitectural leadershipStakeholder communicationMentoringInfluencing across boundaries
Tech Stack:AI/MLOntology designSemantic modelingKnowledge graphsDomain-driven data modelsCloud-native architecturesDistributed systemsData pipelinesMLOpsModel governanceAI lifecycle managementExplainable AIXAIInference servicesEthical AIModel lifecycle management

Eligibility

Nationality:US National

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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