Senior Director of Software Engineering – AIML & Ontology
Share
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
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.
People Leadership & Team Development
- 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
- Bachelors or Masters 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 organizations AI capabilities mature in a responsible sustainable and enterprise-ready way.
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.
#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.
Required Experience:
Exec
Key Skills
About Company
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 ... View more
