Senior Director of Software Engineering – AI​/ML & Ontology

Senior Director of Software Engineering – AI/ML & Ontology

Atlanta, GA, United States (Hybrid)

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.

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
  .

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…