Principal Artificial Intelligence Engineer

Honeywell Aerospace•Plymouth, MN

2d•$214,000 - $268,000•Hybrid

About The Position

The Principal Artificial Intelligence Engineer provides expert-level technical leadership in designing, developing, and applying AI technologies, algorithms, and intelligent systems to address complex engineering and product challenges. The role serves as a subject matter expert for technical AI projects and guides the exploration and implementation of methodologies and best practices. Within Honeywell Aerospace’s Advanced Projects organization, the engineer applies emerging AI technologies to develop innovative product capabilities and solve engineering challenges. The position establishes tools, frameworks, and practices for rapid experimentation and agentic AI development, while working across teams to mature concepts from research and prototypes through product deployment. The role focuses on translating emerging AI technologies into differentiated aerospace products, capabilities, and business value. The position reports directly to the Director of Advanced Projects and is based in Plymouth, Minnesota, on a hybrid work schedule.

Requirements

Advanced degree in Computer Science, Artificial Intelligence, Aerospace Engineering, Electrical Engineering, Robotics, Applied Mathematics, Physics, or a related technical field; an M.S. or Ph.D. is preferred.
Proven experience applying AI, machine learning, data-driven algorithms, or advanced analytics to complex engineering, product, or operational challenges.
Strong understanding of modern AI and machine learning techniques, including traditional machine learning, deep learning, generative AI, agentic systems, optimization, or autonomous decision-making.
Experience developing and prototyping advanced technologies and transitioning them into products, capabilities, or operational solutions.
Demonstrated ability to lead complex technical initiatives and influence technical direction across cross-functional engineering and product teams.
Experience evaluating system performance, robustness, validation approaches, and operational considerations for AI-enabled or mission-critical systems.
Strong software engineering and system design skills, including experience building scalable, maintainable, and deployable solutions.
Excellent written and verbal communication skills, including the ability to communicate complex technical concepts to engineering, product, customer, and executive stakeholders.
Must be a U.S. person as defined by U.S. export control laws and regulations: a U.S. citizen, U.S. permanent resident, or person with protected status in the U.S. under asylum or refugee status.

Nice To Haves

Experience developing AI-enabled products or platforms in aerospace, defense, robotics, autonomy, transportation, industrial, or other complex technology domains.
Experience with modern AI development ecosystems, including generative AI, large language models, retrieval-augmented generation, agentic AI frameworks, AI orchestration platforms, and MLOps practices.
Expertise in navigation, estimation, sensor fusion, autonomy, perception, controls, or intelligent decision-support systems.
Experience establishing engineering processes, development frameworks, and best practices that improve team productivity and accelerate innovation.
Experience rapidly prototyping and evaluating emerging technologies to mature concepts into scalable product capabilities.
Familiarity with assurance, validation, verification, safety, security, or certification considerations for AI-enabled and mission-critical systems.
Contributions to patents, publications, open-source projects, industry initiatives, or other recognized technical achievements.
Interest in exploring emerging technologies and applying AI to create innovative products, solve difficult technical problems, and advance intelligent aerospace systems.

Responsibilities

Lead the application of AI, machine learning, generative AI, and agentic AI technologies to solve product, engineering, and operational challenges.
Establish and promote AI development tools, agentic frameworks, workflows, and best practices for rapid experimentation, prototyping, and deployment.
Partner with engineering, product, and research teams to identify and execute high-impact opportunities for AI-enabled product innovation.
Design, develop, and integrate AI-driven capabilities into next-generation navigation, sensing, autonomy, and aerospace systems.
Provide technical leadership in AI architectures, model development, data strategies, and agent-based system design across Advanced Projects initiatives.
Support product development teams in using AI to improve system performance, automate workflows, accelerate decision-making, and address complex technical problems.
Build and evaluate proof-of-concepts, prototypes, and technology demonstrators to reduce technical risk and accelerate new product development.
Monitor emerging AI technologies and industry trends and translate advancements into product strategies, capabilities, and roadmaps.