Senior AI Manager
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-05-22
Listing for:
Honeywell Aerospace Technologies
Full Time
position Listed on 2026-05-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description
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.
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.
- 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.
- 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.
- Inspire teams with a strong vision for AI-driven transformation.
- Build a culture of innovation, accountability, and continuous improvement.
- Drive strategic alignment between AI initiatives and business goals.
- Champion ethical, scalable, and sustainable AI solutions.
- U.S. PERSON REQUIREMENTS
- 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 or have the ability to obtain an export authorization
Position Requirements
10+ Years
work experience
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