Senior AI Manager

Honeywell Aerospace•Phoenix, AZ

1d•Hybrid

About The Position

Join a team recognized for leadership, innovation, and impact. We are transforming how the world works through the power of Artificial Intelligence, advanced analytics, and cutting-edge software. With a strong foundation in innovation, engineering excellence, and a culture of inclusion and integrity, we are building intelligent systems that solve complex real-world problems across industries. As a Senior AI Manager, you will lead high-impact AI initiatives, building and scaling intelligent solutions while guiding highly skilled engineering and data science teams. You will play a critical role in driving AI strategy, delivering production-grade models, and embedding AI capabilities across products and platforms.

Requirements

Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, 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 for Do-178B SDLC
Experience delivering production-scale AI solutions.
Strong problem-solving, analytical, and decision-making skills.
Excellent communication and stakeholder management skills.

Nice To Haves

Bachelor’s degree in Computer Science, software engineering and, Data Science, Engineering, or related field.
Experience with Generative AI, LLMs, and foundation models.
Knowledge of MLOps, model lifecycle management, and AI platform engineering.
Experience with cloud platforms (Azure AI, AWS, GCP) and scalable AI architectures.
Understanding data engineering, feature engineering, and big data ecosystems.
Experience implementing responsible AI, explainability, and governance frameworks.
Strong leadership in driving organizational change through AI adoption.
Ability to manage complex programs, multiple priorities, and cross-functional teams.
Proven ability to influence strategy and deliver measurable business outcomes.

Responsibilities

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 vs buy decisions.
Drive design sprint specific to NPI problem statement to show 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 cross-functional teams (Product, Engineering, Architecture, Data, Security) to integrate AI capabilities into business solutions.
Identify and implement AI-driven innovations and productivity improvements (automation, optimization, predictive intelligence).
Lead model governance, ethical AI practices, and compliance frameworks.
Provide technical and strategic leadership in key areas such as deep learning, generative AI, NLP, computer vision, and predictive analytics.
Mentor and coach team members, fostering a culture of 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.