Senior AI Manager

Posted 5 Days Ago
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Phoenix, AZ, USA
Hybrid
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
In an era of dynamic change, Aerospace is addressing the most complex challenges in space.
The Role
Lead and scale AI teams and MLOps practices to deliver production-grade models and AI platforms. Drive AI strategy, governance, vendor evaluation, cross-functional integration, and mentor engineers while ensuring ethical, compliant, and measurable business outcomes.
Summary Generated by Built In

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.

Responsibilities

KEY 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.
Qualifications

YOU MUST HAVE

  • 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.

 

WE VALUE

  • 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.

Leadership Expectations

  • 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.

BENEFITS

Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're 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

Explore your benefits: https://honeywellaerospacebenefits.com/

POSTING TIMELINE

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

THE BUSINESS

Electronic Solutions:

Honeywell Aerospace products and services are found on aircraft across commercial aviation, defense and space — from engines and cockpit electronics to cabin systems, mechanical components and connectivity solutions. Our technology helps operators fly more safely, reduce fuel consumption, improve on-time performance and deliver a better experience for the people on board. 


As aviation continues to evolve, we're also developing systems to support autonomous and supersonic platforms, bringing the same focus on safety and efficiency to the next era of flight. With approximately 36,000 employees worldwide and net sales of $17.4B in 2025, Honeywell Aerospace is one of the largest dedicated aerospace companies in the world. Explore our businesses: https://www.honeywellaerospace.com


Electronic Solutions develops the avionics, navigation systems, sensors and electromagnetic defense technology that help aircraft perform safely and with precision. Our systems are on board 90% of the world's aircraft — serving commercial aviation, defense and space operators from integrated flight deck platforms with 30-plus years in service to radiation-hardened systems trusted for human spaceflight.

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


#LI-Hybrid

#LI-AL3

Skills Required

  • Bachelor's degree in a technical discipline (science, technology, engineering, mathematics) from an accredited institution
  • 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

The Aerospace Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Aerospace Corporation and has not been reviewed or approved by The Aerospace Corporation.

  • Retirement Support The 401(k) plan provides a company‑paid contribution of 8–12% based on years of service with immediate eligibility and vesting, and eligible employees can access retiree medical benefits.
  • Leave & Time Off Breadth Paid time off includes 15 vacation days (rising to 20 after five years), nine paid holidays, and unlimited sick time for exempt employees with accruals for non‑exempt staff.
  • Flexible Benefits Flexible work models include a 9/80 schedule with alternating Fridays off, supported by backup care services, an EAP, relocation assistance, and home‑office stipends where applicable.

The Aerospace Corporation Insights

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The Company
HQ: Chantilly, VA
4,600 Employees
Year Founded: 1960

What We Do

The space enterprise has been transformed by rapid change and growth. New vehicles for national security space, a more rapid launch cadence, proliferated satellite constellations, the pursuit of interplanetary exploration, and thriving commercial ventures are changing the nature of the space industry. The Aerospace Corporation (Aerospace) is a leading architect for U.S. space programs, shaping efforts to outpace threats to our national security while cultivating the technologies needed to further this new era of space commercialization and exploration. Aerospace works across the space enterprise in service of the public interest. In addition to supporting the Department of Defense and the Intelligence Community, our customers include NASA, NOAA, numerous federal agencies, and commercial space — all of whom benefit from our deep technical knowledge. We only pursue business related to the space mission and complementary fields, operating as the nation’s trusted partner to solve the toughest challenges and develop reliable and innovative technologies. Innovation in space occurs when people have the freedom to imagine and do. At Aerospace, we take pride in our readiness to solve some of the most complex challenges in the space enterprise.

Why Work With Us

We are a non-profit corporation chartered by the government to work on the hardest problems in space. We employ technical experts in every discipline of space-related science and engineering who touch every part of the US space program. Come join us as we make an impact bigger than ourselves.

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