Senior AI Manager

Honeywell Aerospace Technologies

. Lead and build high-performing AI teams focused on model development, deployment, and lifecycle management .

Posted 10/3/2026full-timePhoenix • Arizona • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI teams and implementing MLOps practices to drive successful AI initiatives. Proficient in machine learning, deep learning, and AI system design, with a strong focus on delivering production-scale solutions and ensuring compliance with ethical AI standards.

Highest-signal resume keywords

AI Team LeadershipMLOps ImplementationMachine Learning ExpertiseCloud Platform ExperienceStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningAI System DesignGenerative AINLPComputer VisionPredictive AnalyticsModel Lifecycle ManagementData EngineeringFeature Engineering

Soft Skills

Problem-SolvingAnalytical SkillsDecision-MakingCommunicationInfluencing

Tools & Technologies

Azure AIAWSGCPCI/CD for MLAI Platforms

Industry Keywords

MLOpsModel GovernanceEthical AICompliance FrameworksBig Data Ecosystems

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformSDLC

About the role

Key responsibilities & impact

Lead and build high-performing AI teams focused on model development, deployment, and lifecycle management
Establish and scale MLOps practices, including CI/CD for ML, model/version management, monitoring, retraining, and platform standardization
Evaluate and integrate external AI technologies, tools, and vendors, guiding build-versus-buy decisions
Drive design sprints for NPI problem statements to demonstrate AI-driven quality, cost, timelines, and business outcomes
Ensure successful delivery of AI initiatives aligned to quality, cost, timelines, and business outcomes
Drive AI strategy, roadmap, and adoption across products and enterprise platforms
Collaborate with Product, Engineering, Architecture, Data, and Security teams to integrate AI capabilities into business solutions
Identify and implement AI-driven innovations and productivity improvements, including automation, optimization, and predictive intelligence
Lead model governance, ethical AI practices, and compliance frameworks
Provide technical and strategic leadership in deep learning, generative AI, NLP, computer vision, and predictive analytics
Mentor and coach team members, fostering continuous learning and innovation
Drive stakeholder alignment, communicate insights, and influence executive decision-making
Anticipate risks and proactively resolve challenges across AI initiatives
Support proposals, innovation initiatives, and competitive differentiation using AI

Requirements

What you’ll need

Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, or mathematics
8+ years of experience in software engineering, data science, or software development
2+ years leading technical teams in AI or advanced analytics
Strong expertise in machine learning, deep learning, and AI system design
Understanding of DO-178B SDLC
Experience delivering production-scale AI solutions
Strong problem-solving, analytical, and decision-making skills
Excellent communication and stakeholder management skills
Experience with Generative AI, LLMs, and foundation models
Knowledge of MLOps, model lifecycle management, and AI platform engineering
Experience with cloud platforms such as Azure AI, AWS, or GCP and scalable AI architectures
Understanding of data engineering, feature engineering, and big data ecosystems
Experience implementing responsible AI, explainability, and governance frameworks
Ability to manage complex programs, multiple priorities, and cross-functional teams
Proven ability to influence strategy and deliver measurable business outcomes
Must be a U.S. Person, defined as a U.S. citizen, U.S. permanent resident, protected-status individual under asylum or refugee status, or someone able to obtain export authorization

Benefits

Comp & perks

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