Senior AI Manager

Join a team recognized for leadership, innovation, and impact. We are transforming how the world works through Artificial Intelligence, advanced analytics, and cutting‑edge software, 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.

• 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 sprints specific to NPI problem statements to showcase 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 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.

• Bachelor’s degree in a technical discipline (science, technology, engineering, mathematics).
• 8+ years of experience in software engineering, data science, or software development.
• 2+ years of leadership experience 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.

• Knowledge of MLOps, model lifecycle management, AI platform engineering.
• Experience with generative AI, LLMs, and foundation models.
• Experience with cloud platforms (Azure AI, AWS, GCP) and scalable AI architectures.
• Experience in 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 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.

As a Honeywell Aerospace employee, you are eligible for a comprehensive benefits package that includes:

• 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 and educational assistance
• Parental leave and 12 paid holidays
• Paid time off for vacation, personal, and sick time

Due to compliance with U.S. export control laws, a candidate must be a U.S. Person (U.S. citizen, permanent resident, or eligible for protected status). They must have the ability to obtain an export authorization.