Job Description
Honeywell Aerospace is seeking a Senior Director of Artificial Intelligence to lead the design, delivery, and enterprise adoption of AI — with a particular emphasis on Agentic AI systems and applied AI delivery at scale. This role sits at the intersection of technical architecture, cross-functional execution, and business transformation. The ideal candidate brings deep hands‑on experience building and deploying agentic AI solutions, a track record of driving measurable adoption within complex matrixed enterprises.
You will report directly to our VP IT and you will work out of our Phoenix, AZ location on a hybrid work schedule. Honeywell is at the forefront of technological innovation, driving solutions that address some of the world’s most pressing challenges. As the Senior Director Artificial Intelligence, you will provide strategic leadership and guide the organization’s AI initiatives to new heights. This is a unique opportunity for an exceptional leader to play a key role in shaping the future of AI technology within a company known for its commitment to excellence and cutting‑edge solutions.
Responsibilities
Agentic AI & Leadership- Lead the design of end-to-end agentic AI systems — including multi‑agent orchestration, tool‑use frameworks, RAG pipelines, and LLM‑powered workflow automation
- Define AI solution architecture standards across the enterprise along with Enterprise Architecture team, covering model selection, inference infrastructure, vector databases, guardrails, and prompt engineering
- Lead technical evaluation and integration of AI platforms (e.g., LangChain, AutoGen, CrewAI, Azure OpenAI, AWS Bedrock) aligned to Honeywell’s cloud‑first architecture
- Ensure architectures are production‑grade: observable, versioned, secure, and aligned to ITAR/CMMC compliance requirements
- Own the AI delivery for Strategic pipeline from ideation to production — managing sprints, milestones, dependencies, and cross‑functional stakeholder alignment
- Lead a team of AI/ML engineers, data scientists, and delivery leads; partner with business to execute sector‑specific AI use cases
- Build and maintain AI project ROI accountability, including hard/soft/strategic value tracking and P10/P50/P90 risk‑adjusted forecasting
- Design and execute enterprise AI adoption programs — including AI training curricula, Citizen AI enablement, and change management frameworks
- Establish adoption KPIs (DAU, use case activation rate, time‑to‑value) and build feedback loops from users back to the AI roadmap
- Champion a responsible AI culture through governance frameworks, bias reviews, explainability standards, and AI literacy programs at all levels
- Collaborate with the AOS Committee to prioritize the enterprise AI portfolio against business value, risk, and strategic fit
- Translate complex AI capabilities into board‑ready narratives; present AI program health, pipeline, and ROI at ALT and leadership forums
- Represent Honeywell Aerospace in industry AI working groups, partner ecosystems, and regulatory engagements
Qualifications
US persons requirement — 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.
10+ years of experience in high‑level oversight of engineering and technology teams
Proven experience in leadership roles with a focus on AI strategy and implementation
Strong expertise in machine learning and deep learning technology, specifically with agentic AI
We value- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or another related field
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch
- Experience with deploying AI models in real‑world, production environments
- Familiarity with industry‑specific applications of AI in relevant domains (e.g., aerospace, manufacturing, automation)
- Experience working in an agile development environment
- Attention to detail and excellent problem‑solving capability