Senior Advanced Project Engineer

Qualifications

• YOU MUST HAVE
• 5+ years of experience in technical project management, engineering project management, software implementation, or related roles.
• 5+ years of experience managing complex software, technology, or engineering projects involving multiple cross-functional stakeholders.
• 5+ years of demonstrated ability to coordinate AI technical teams, manage dependencies, and deliver projects against committed milestones.
• Strong stakeholder management skills, including experience working with engineering teams, business leaders, customers, and external partners.
• Working knowledge of software development lifecycles, Agile methodologies, and technology integration processes.
• Experience developing and managing AI project schedules, resource plans, risks, issues, and status reporting.
• Experience using project management tools such as Jira, Smartsheet, Microsoft Project, or equivalent.
• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
• WE VALUE
• Ability to understand technical concepts, ask the right questions, and translate technical challenges into clear actions and business implications.
• Strong organizational, communication, problem-solving, and execution skills.
• Exposure to AI/ML, Generative AI, Agentic AI, Physical AI, IoT, or enterprise software platforms.
• Experience with customer-facing technology implementations, enterprise software deployments, or systems integration.
• Understanding of cloud platforms, APIs, data integration, and software deployment processes.
• Experience coordinating globally distributed engineering teams and external vendors.
• Ability to navigate ambiguity, manage competing priorities, and influence teams without direct authority.
• Strong technical curiosity and willingness to learn emerging technologies.
• Experience working in fast-paced product development or innovation environments.
• Interest in building a long-term career in technical program management and AI delivery.
• U.S. Person Requirement
• 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.
• BENEFITS OF WORKING FOR HONEYWELL
• In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)
• 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. Job Posting Date: October 20, 2026

ABOUT HONEYWELL TECHNOLOGIES

KEY RESPONSIBILITIES

• Manage end-to-end delivery of AI and software solutions for customer deployments, from planning and implementation through validation and handover.
• Partner closely with AI, Engineering, Product, UX, and platform teams to understand technical requirements, dependencies, integration needs, and deployment readiness.
• Develop and maintain project plans, milestones, resource requirements, budgets, and delivery commitments.
• Coordinate execution across global engineering teams, customer stakeholders, business leaders, and external partners.
• Drive alignment between technical development timelines and customer deployment commitments.
• Identify and proactively manage risks, issues, resource constraints, and cross-functional dependencies.
• Facilitate technical and business discussions to resolve blockers, clarify ownership, and drive timely decisions.
• Coordinate customer-site readiness, integration activities, testing, deployment schedules, and post-deployment follow-up.
• Manage vendor deliverables and third-party dependencies to ensure alignment with project milestones.
• Provide clear, concise project updates to engineering leadership, business stakeholders, and customer-facing teams.
• Support continuous improvement of project management practices, deployment processes, and execution tools.
• Develop a strong understanding of our AI platform, capabilities, and technology ecosystem to become an effective bridge between engineering and customer delivery.