Sr Director Software Engineering - AI & Ontology

Posted 18 Days Ago
Be an Early Applicant
Atlanta, GA, USA
Hybrid
Senior level
Aerospace • Security • Energy • Industrial
The Role
Lead design and scaling of AI/ML platforms emphasizing ontologies and knowledge graphs. Define architecture across cloud/edge/on‑prem, drive MLOps, model governance, XAI, and productionized data/model pipelines. Partner with product, data science, and executive stakeholders while mentoring senior architects and influencing enterprise standards.
Summary Generated by Built In

As Senior Director Software Engineering - Artificial Intelligence (AI) & Ontology at Honeywell Technologies, you will be 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.

You will report directly to the VP Chief Technology Officer – Forge & AI and will work out of the Atlanta, GA office on a hybrid work schedule.

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.

AI/ML Strategy & Execution

  • 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.

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

YOU MUST HAVE

  • 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
  • Demonstrated success delivering AI/ML-powered production systems at scale
  • Blend of hands-on technical depth and strategic leadership experience

US PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.


WE VALUE

  • Bachelor’s and advanced degrees in Computer Science, Engineering, AI, Data Science, or related field
  • Strong background in cloud-native architectures, distributed systems, and modern software engineering practices
  • 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.
  • Proven ability to lead senior technical talent and influence across organizational boundaries

BENEFITS OF WORKING FOR HONEYWELL TECHNOLGIES

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell Technologies 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, Click Here.


Honeywell Technologies is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and engagement:  Click Here 

About UsHoneywell 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.

Skills Required

  • 10+ years 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
  • Demonstrated success delivering AI/ML-powered production systems at scale
  • Blend of hands-on technical depth and strategic leadership experience
  • Must be a U.S. Person (U.S. citizen, permanent resident, protected status, or ability to obtain export authorization)
  • Work out of the Atlanta, GA office on a hybrid schedule
  • Experience with MLOps platforms, model governance, and AI lifecycle management
  • Familiarity with explainable AI, ethical AI, and regulatory considerations
  • Bachelor's or advanced degree in Computer Science, Engineering, AI, Data Science, or related field
  • Prior experience in industrial, enterprise, or highly regulated domains
  • Proven ability to lead senior technical talent and influence across organizational boundaries

Honeywell Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.

  • Retirement Support Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
  • Leave & Time Off Breadth Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
  • Parental & Family Support Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.

Honeywell Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Charlotte, NC
110,269 Employees
Year Founded: 1906

What We Do

Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.

Similar Jobs

Hybrid
Atlanta, GA, USA
10000 Employees

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Marketing Manager

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Hybrid
5 Locations
40000 Employees
97K-138K Annually

General Motors Logo General Motors

Litigation Support Manager

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
United States
165000 Employees
106K-141K Annually

General Motors Logo General Motors

Directeur de district - Ventes - Saguenay et Côte-Nord (District Manager - Sales - Saguenay and Côte-Nord)

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
United States
165000 Employees
76K-114K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Artificial Intelligence • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees
Amalgamated Sugar Thumbnail
Food • Greentech • Agriculture • Industrial • Manufacturing
Boise, Idaho
768 Employees
Outpost Space Thumbnail
Aerospace • Defense
US
24 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account