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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, Aerospace

Lead production AI, MLOps, and advanced analytics teams at Honeywell Aerospace Technologies. Guide intelligent aviation systems, AI governance, and enterprise adoption.

USUnited StatesAZArizonaHybridFull-timeSeniorEnglish RequiredArtificial Intelligence
AWSAzureCloudGoogle Cloud PlatformSDLC

Description

  • Build and lead teams developing, deploying, and managing AI models throughout their lifecycle.
  • Establish and expand MLOps practices, covering machine learning CI/CD, model and version management, monitoring, retraining, and platform standards.
  • Assess and integrate external AI tools, technologies, and vendors, and advise on build-or-buy choices.
  • Run design sprints for new product introduction (NPI) challenges to demonstrate AI’s impact on quality, cost, schedules, and business results.
  • Deliver AI initiatives against quality, cost, schedule, and business objectives.
  • Set AI strategy and roadmaps, and expand adoption across products and enterprise platforms.
  • Work with Product, Engineering, Architecture, Data, and Security teams to embed AI capabilities in business solutions.
  • Develop AI-driven improvements in productivity and innovation, including automation, optimization, and predictive intelligence.
  • Lead model governance, responsible AI practices, and compliance frameworks.
  • Provide technical and strategic direction across deep learning, generative AI, natural language processing, computer vision, and predictive analytics.
  • Coach team members and support ongoing learning and innovation.
  • Align stakeholders, present insights, and inform executive decisions.
  • Identify risks early and resolve challenges across AI initiatives.
  • 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 leading technical teams in AI or advanced analytics.
  • Strong command 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 analytical, problem-solving, and decision-making abilities.
  • Excellent communication and stakeholder management skills.
  • Experience with generative AI, large language models (LLMs), and foundation models.
  • Knowledge of MLOps, model lifecycle management, and AI platform engineering.
  • Experience with cloud platforms such as Azure AI, AWS, and Google Cloud Platform, and with scalable AI architectures.
  • Understanding of data engineering, feature engineering, and big data ecosystems.
  • Experience applying responsible AI, explainability, and governance frameworks.
  • Leadership experience advancing organizational change through AI adoption.
  • Ability to manage complex programs, competing priorities, and cross-functional teams.
  • Track record of shaping strategy and delivering measurable business results.
  • Must qualify as a U.S. Person: a U.S. citizen, U.S. permanent resident, person with protected status in the U.S. under asylum or refugee status, or someone able to obtain export authorization.

Benefits

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

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