Senior Advanced Project Engineer

Honeywell•Atlanta, GA

1d•Hybrid

About The Position

As a Senior Advanced Project Engineer – AI Project Manager, you will lead delivery of AI-powered solutions at customer sites, partnering with global AI, Engineering, Product, UX, platform, and business teams. You will translate technical work into executable project plans, coordinate stakeholders and dependencies, and ensure successful customer implementations. The role provides hands-on exposure to emerging AI technologies and an opportunity to grow into broader technical program leadership as the AI portfolio scales. The position is based in Atlanta, Georgia, on a hybrid schedule. For the first 90 days, new hires must be prepared to work onsite Monday through Friday. The role reports directly to the Senior Director of Engineering. Candidates must meet the stated U.S. Person/export authorization requirement. Honeywell describes itself as a global automation company serving building, industrial, and process sectors. Its benefits package includes employer-subsidized insurance, retirement matching, paid leave, holidays, and other assistance programs.

Requirements

At least 5 years of experience in technical project management, engineering project management, software implementation, or related roles.
At least 5 years of experience managing complex software, technology, or engineering projects involving multiple cross-functional stakeholders.
At least 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.
Must be a U.S. Person (U.S. citizen, U.S. permanent resident, or protected status under asylum or refugee status), or have the ability to obtain an export authorization.

Nice To Haves

Ability to understand technical concepts, ask effective 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.

Responsibilities

Manage end-to-end delivery of AI and software solutions for customer deployments, from planning and implementation through validation and handover.
Partner 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.
Align technical development timelines with 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 align with project milestones.
Provide 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 the AI platform, capabilities, and technology ecosystem to bridge engineering and customer delivery.