Honeywell
Senior Director of Software Engineering – AI/ML & Ontology
Honeywell, Atlanta, Georgia, United States, 30383
Senior Director of Software Engineering – AI/ML & Ontology
Atlanta, GA, United States (Hybrid)
Job Description We are seeking a
Senior Director of Software Engineering
with deep expertise in
Artificial Intelligence (AI), Machine Learning (ML), and Ontology-driven systems
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.
Responsibilities Key Responsibilities
Technical & Architectural Leadership
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 .
Lead and develop a small, elite team of
senior architects , fostering a culture of technical excellence, accountability, and continuous learning.
Act as a mentor and technical coach, raising the bar for
architectural thinking, engineering rigor, and AI fluency .
Stakeholder & Enterprise Influence
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 Required Qualifications
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.
Preferred Qualifications
PhD or advanced research background in
AI, ML, or knowledge representation .
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 .
What Success Looks Like
AI/ML platforms are
scalable, explainable , and grounded in strong
ontological foundations .
Architects are
aligned, empowered , and operating as trusted technical leaders across the organization.
Complex data and AI challenges are translated into
clear, actionable architectures
that deliver real business value.
The organization’s AI capabilities mature in a
responsible, sustainable, and enterprise‑ready way .
#Li‑Hybrid
In addition to a competitive salary, leading‑edge work, and developing solutions side‑by‑side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes 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), and 12 Paid Holidays. For more information visit: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
About Us Honeywell helps organizations solve the world’s most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Job Info
Job Identification 132466
Job Category Engineering
Posting Date 01/09/2026, 02:36 PM
Job Schedule Full time
Hire Eligibility Internal and External
Relocation Package US & CAN Domestic Tier 3
#J-18808-Ljbffr
Job Description We are seeking a
Senior Director of Software Engineering
with deep expertise in
Artificial Intelligence (AI), Machine Learning (ML), and Ontology-driven systems
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.
Responsibilities Key Responsibilities
Technical & Architectural Leadership
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 .
Lead and develop a small, elite team of
senior architects , fostering a culture of technical excellence, accountability, and continuous learning.
Act as a mentor and technical coach, raising the bar for
architectural thinking, engineering rigor, and AI fluency .
Stakeholder & Enterprise Influence
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 Required Qualifications
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.
Preferred Qualifications
PhD or advanced research background in
AI, ML, or knowledge representation .
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 .
What Success Looks Like
AI/ML platforms are
scalable, explainable , and grounded in strong
ontological foundations .
Architects are
aligned, empowered , and operating as trusted technical leaders across the organization.
Complex data and AI challenges are translated into
clear, actionable architectures
that deliver real business value.
The organization’s AI capabilities mature in a
responsible, sustainable, and enterprise‑ready way .
#Li‑Hybrid
In addition to a competitive salary, leading‑edge work, and developing solutions side‑by‑side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes 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), and 12 Paid Holidays. For more information visit: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
About Us Honeywell helps organizations solve the world’s most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Job Info
Job Identification 132466
Job Category Engineering
Posting Date 01/09/2026, 02:36 PM
Job Schedule Full time
Hire Eligibility Internal and External
Relocation Package US & CAN Domestic Tier 3
#J-18808-Ljbffr