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Honeywell Aerospace Technologies
Honeywell Aerospace Technologies
AerospaceDefenseHardware
Honeywell Aerospace Technologies is Honeywell’s aerospace business unit, developing and supporting systems used across commercial aviation, business and general aviation, military aircraft, and space platforms. Its work spans avionics, navigation, sensing, engines, auxiliary power units, electric power and propulsion, cabin and cockpit systems, RF and electromagnetic defense, space electronics, microelectronics, and maintenance, repair, and service solutions. The company brings together engineering, manufacturing, and support teams focused on aerospace and defense hardware.
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Senior AI Manager — Honeywell Aerospace Technologies (Hybrid)

Lead AI strategy, MLOps, and intelligent aviation solutions at Honeywell Aerospace Technologies. Guide engineering teams delivering production-scale models for aircraft systems.

USUnited StatesAZArizonaHybridFull-timeSeniorEnglish RequiredArtificial Intelligence
AWSAzureCloudGoogle Cloud PlatformSDLC

Description

  • Build and lead high-performing teams responsible for AI model development, deployment, and lifecycle management
  • Scale MLOps capabilities, including ML CI/CD, model and version management, monitoring, retraining, and platform standardization
  • Assess and integrate external AI technologies, tools, and vendors while directing build-versus-buy decisions
  • Lead design sprints for NPI challenges that demonstrate AI-driven improvements in quality, cost, timelines, and business results
  • Deliver AI initiatives against defined quality, cost, schedule, and business objectives
  • Set AI strategy and roadmaps while expanding adoption across products and enterprise platforms
  • Partner with Product, Engineering, Architecture, Data, and Security teams to embed AI capabilities in business solutions
  • Develop AI-enabled innovations and productivity gains through automation, optimization, and predictive intelligence
  • Oversee model governance, ethical AI practices, and compliance frameworks
  • Provide technical and strategic direction across deep learning, generative AI, NLP, computer vision, and predictive analytics
  • Mentor team members and promote continuous learning and innovation
  • Align stakeholders, communicate insights, and shape executive decisions
  • Identify risks early and resolve challenges across AI programs
  • Contribute AI expertise to proposals, innovation efforts, and competitive differentiation

Requirements

  • Bachelor’s degree from an accredited institution in a technical field such as science, technology, engineering, or mathematics
  • At least 8 years of experience in software engineering, data science, or software development
  • At least 2 years of experience leading technical teams in AI or advanced analytics
  • Advanced knowledge of machine learning, deep learning, and AI system design
  • Familiarity with the DO-178B software development life cycle
  • Experience delivering AI solutions at production scale
  • Strong problem-solving, analytical, and decision-making capabilities
  • Excellent communication and stakeholder management skills
  • Experience with generative AI, large language models, and foundation models
  • Knowledge of MLOps, model lifecycle management, and AI platform engineering
  • Experience with Azure AI, AWS, GCP, or comparable cloud platforms and scalable AI architectures
  • Understanding of data engineering, feature engineering, and big data ecosystems
  • Experience applying responsible AI, explainability, and governance frameworks
  • Ability to manage complex programs, competing priorities, and cross-functional teams
  • Demonstrated ability to influence strategy and deliver measurable business results
  • Must qualify as a U.S. Person: a U.S. citizen, U.S. permanent resident, protected-status individual under asylum or refugee status, or an individual able to obtain export authorization

Benefits

  • Employer-subsidized medical, dental, vision, and life insurance
  • Short- and long-term disability coverage
  • 401(k) employer match
  • Flexible spending and health savings accounts
  • Employee assistance program
  • Educational assistance
  • Parental leave
  • 12 paid holidays
  • Paid vacation, personal, and sick time

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