Project Engineer (junior career)
Posted Updated
Description
Standard Job Description
The Lockheed Martin Artificial Intelligence Center (LAIC) seeks an AI Systems Engineer to join the AI Factory Growth & Engagement Team supporting the AI Adoption associate manager by coordinating and scheduling training engagements, assisting with organizing team events, and managing team communications. This role is ideal for an organized, detail oriented professional who thrives in a fast‑paced, collaborative environment and is eager to contribute to Lockheed Martin’s AI‑driven mission.
Key Responsibilities:
- Training Engagement Scheduling: Work with the AI Adoption associate manager and internal/external stakeholders to plan, schedule, and track AI training sessions (including curriculum coordination, venue/resource allocation, and attendee management).
Event Coordination: Assist in the end‑to‑end planning of team‑wide events (workshops, hackathons, briefings, and community conferences); handle logistics, invitations, agendas, and post‑event follow‑up. - Team Communications: Draft, review, and distribute team announcements, meeting minutes, status reports, and other official communications; ensure clarity, consistency, and adherence to Lockheed Martin branding standards.
- Administrative Support: Maintain project calendars, track action items, and provide status updates to the Team Manager and leadership as needed.
- Collaboration: Partner with engineering, business, and HR partners to ensure training and event objectives align with enterprise AI adoption goals.
- Continuous Improvement: Identify opportunities to streamline scheduling processes, improve communication templates, and enhance overall team efficiency.
What you'll gain from this role
- Hands‑on experience supporting enterprise‑wide AI training and community programs.
- Mentorship from senior project managers and AI adoption leaders.
- Exposure to cutting‑edge AI initiatives and the opportunity to contribute to Lockheed Martin’s 21st Century Security vision.
- Career growth pathways into senior project‑management or program‑management roles within the AI Factory and broader Enterprise Operations organization.
Basic Qualifications
- Bachelor’s degree in Engineering, Technology, Business Administration, Project Management, Communications, or a related field (or equivalent experience).
- Minimum 2 years of experience in project coordination, event planning, or administrative support within a corporate or technical environment.
- Demonstrated ability to manage multiple schedules, prioritize competing deadlines, and maintain accurate records.
- Strong written and verbal communication skills; proficiency with Microsoft Office (Outlook, Word, Excel, PowerPoint) and collaboration tools (Teams, SharePoint).
- U.S. citizenship required (for positions requiring access to Lockheed Martin facilities or data).
Desired Skills
- Experience with training lifecycle management or learning and development initiatives.
- Familiarity with AI/ML concepts and terminology.
- Knowledge of basic project management methodologies (Agile, Waterfall, or hybrid).
- Experience using scheduling software or event‑management platforms.
- Ability to work effectively in a matrixed organization and influence without formal authority.
- Strong interpersonal skills and a collaborative mindset.
Interview Questions
Acclimation to new team: Describe the last time you joined a new organization. How did you get acclimated? What were the most valuable pieces of information you learned or activities you undertook?
Accuracy and Attention to Detail: Give me an example of a time you paid close attention to detail and how it helped you avoid a mistake.
Accuracy and Attention to Detail: Tell me about something you did that helped others improve the accuracy of their own work.
Accuracy and Attention to Detail: What process do you use to make sure you don't miss any details before a project is completed?
Agile Methodologies: Tell me about your working experience with using and implementing agile methodology.
Be accountable: Describe a time you had to deal with a particularly difficult resource management issue regarding people, materials, or assets.