Honeywell

1 month ago

Sr Director Software Engineering, Ontology & AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Senior leadership role defining and driving the architectural direction for AI/ML-enabled platforms, with a focus on ontologies, knowledge graphs, and enterprise-scale systems. Leads a small team of senior architects, partners with product and business stakeholders, and ensures scalable, explainable AI solutions across cloud/edge/on-prem deployments.

Location: Atlanta

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key 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.

Pay and Benefits

Perks:Health InsuranceDentalVision401kTime OffPaid HolidaysParental Leave

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, or related field.
•12+ years of progressive software engineering experience, including senior leadership roles.
•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.

Experience:12+ yearsAIOntologyEnterprise architectureCloudML

Education:Bachelor's

Skills:LeadershipMentoringCommunicationInfluenceCollaboration

Languages:English

Tech Stack:AIMLOntologyKnowledge graphsCloudMLOpsData pipelinesExplainable AI

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: 3.8

Website LinkedIn Glassdoor

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Honeywell

1 month ago

Sr Director Software Engineering, Ontology & AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Atlanta

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key 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.

Pay and Benefits

Perks:Health InsuranceDentalVision401kTime OffPaid HolidaysParental Leave

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, or related field.
•12+ years of progressive software engineering experience, including senior leadership roles.
•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.

Experience:12+ yearsAIOntologyEnterprise architectureCloudML

Education:Bachelor's

Skills:LeadershipMentoringCommunicationInfluenceCollaboration

Languages:English

Tech Stack:AIMLOntologyKnowledge graphsCloudMLOpsData pipelinesExplainable AI

Eligibility

Nationality:US National

Company Brief

Honeywell

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: 3.8

Website LinkedIn Glassdoor