• Our Connectivity Engineers are a Subject Matter Expert (SME) in fiber optics, structured cabling, and data center physical infrastructure. • The CE is responsible for the full lifecycle of physical installation projects, including coordinating LVC schedules, performing rigorous Quality Assurance (QA) and Quality Control (QC) checks on contractor work, and ensuring final installation adheres to all design standards, safety codes, and labeling policies. • Serve as the primary on-site technical point of contact for the Low Voltage Contractor (LVC) and internal engineering teams. • Manage the LVC's deployment schedule, ensuring adherence to project milestones and reporting progress and delays to project management. • Coordinate access, material delivery, and staging areas with data center facility operations. • Act as a remote hands expert for remote engineering teams during deployment and validation activities. • Perform comprehensive, multi-stage QA inspections on all LVC work, including rack placement, server/device racking, cable routing, and labeling. • Ensure all infrastructure, including racks, servers, network devices, and storage units, are installed and grounded according to specified Bill of Materials (BoM) and design documentation. • Conduct or directly oversee optical loss testing (OLTS), OTDR analysis, and insertion/return loss evaluations on all installed fiber links (Single-Mode and Multi-Mode). • Verify copper (Cat6a/Cat8) cable integrity and pin-out using certified testers. • Ensure all patch panels, trunks, patch cords, and cable management systems comply with code. • Manage vendor/partner relationships, contracts, and Service Level Agreements (SLAs) for installation quality. • Act as the organization's SME for fiber optic infrastructure and structured cabling best practices (e.g., BICSI standards). • Review, interpret, and validate design documentation, rack elevation diagrams, and fiber schematics for constructability. • Generate detailed final test reports, as-built documentation, and root cause analysis (RCA) reports for any issues encountered during deployment. • Educate and coach internal full-time employees on fiber maintenance and cable management best practices. • Manage closeout activities and handoff to the operations team.

• Operation and further development of SCCM / WSUS (deployment, patch management) • Administration of Windows Server, Active Directory, DNS/DHCP • Management of file servers, PKI and security hardening • Automation with PowerShell • Support for SQL, reporting and SCCM databases • Operation of VMware vSphere and related infrastructure (storage/network) • Monitoring (e.g., PRTG) and troubleshooting • Participation in ITSM processes (Incident, Change, ServiceNow)

Role Description Gestalte mit uns die datengetriebene Zukunft. Generative AI produktiv nutzbar machen. Generative AI verändert aktuell, wie Unternehmen Prozesse automatisieren, Wissen nutzbar machen und digitale Produkte entwickeln. Gemeinsam mit unseren Kund:innen entwickeln wir GenAI-Lösungen mit echtem Business Impact – von der ersten Use Case Idee bis zur produktiven Skalierung. Als GenAI Engineer entwickelst du moderne AI-Anwendungen und bringst GenAI-Modelle produktiv in den Unternehmenseinsatz. Dabei arbeitest du an der Schnittstelle aus Software Engineering, Data & AI sowie Cloud-Technologien. Der Fokus der Rolle liegt klar auf technischer Umsetzung, Engineering Excellence und produktionsreifen Lösungen – weniger auf Data Science oder Modellentwicklung. Was du bei uns machen wirst: - Du berätst unsere Kund:innen bei der Konzeption und Umsetzung moderner GenAI-Lösungen und entwickelst intelligente Anwendungen mit echtem Business Impact. - Du entwickelst Lösungen mit GenAI Models, Retrieval-Augmented Generation (RAG), Context Engineering und AI-Agents für konkrete Geschäftsanforderungen unserer Kund:innen. - Du entwickelst produktionsreife Lösungen auf Basis moderner AI- und Cloud-Technologien und integrierst LLM-basierte Workflows in bestehende Systemlandschaften und Geschäftsprozesse. - Du arbeitest an skalierbaren AI-Architekturen, APIs und Datenpipelines. - Du unterstützt Workshops, technische Konzeptionen und die Umsetzung neuer GenAI-Use-Cases bei unseren Kund:innen. - Du bringst Best Practices für Qualität, Wartbarkeit, Skalierbarkeit und Erklärbarkeit in unsere AI-Projekte ein. Qualifications - Du hast Erfahrung in der Softwareentwicklung – idealerweise im Umfeld von AI-, Data- oder Cloud-Lösungen. - Du arbeitest sicher mit Python und modernen Entwicklungsframeworks. - Du interessierst dich für Generative AI, Large Language Models und moderne AI-Architekturen. - Du bringst idealerweise erste Erfahrung mit GenAI-Frameworks, Agentischen Systemen, APIs oder AI-Plattformen mit. - Du verstehst, wie aus technischen Möglichkeiten produktive Lösungen mit echtem Mehrwert für das Business entstehen. - Du arbeitest strukturiert, pragmatisch und lösungsorientiert. - Du kommunizierst sicher mit technischen und fachlichen Stakeholdern. - Du sprichst fließend Deutsch (mindestens C1-Niveau) und verfügst über sehr gute Englischkenntnisse. - Du bringst Reisebereitschaft für Kund:innentermine innerhalb Deutschlands mit (mind. 40 %). Benefits - #INNOVATIVE - Vielfalt statt Routine: Du arbeitest an spannenden Projekten, mit wechselnden Herausforderungen und Kund:innen in einer Zukunftsbranche. - #WORKLIFEFLOW - Flexibel, wie es zu dir passt: Arbeite remote in ganz Deutschland oder nutze unsere Coworking-Spaces – abgestimmt auf dein Projekt und dein Leben. - #POWERBREAK - Erholung, die zu dir passt: 30 Urlaubstage, 3 zusätzliche Me-Time-Tage und Workation im EU-Ausland. Oder mal länger raus? Ein Sabbatical macht‘s möglich. - #CAREERBOOST - Dein Weg. Deine Entwicklung: Ob Fachlaufbahn, Projektleitung, Kund:innenmanagement oder Führungsrolle – wir fördern dich mit Trainings, Zertifizierungen und individueller Weiterbildung. Natürlich übernehmen wir die Kosten. - #MINDFLEX - Ideen haben Raum: Deine Ideen zählen. Für Business-Development-Initiativen und Sales-Support-Aktivitäten steht dir ein unternehmensweites Budget zur Verfügung, auf das du dich mit überzeugenden Ideen bewerben kannst. - #CULTURECONNECT - Hier zählt Teamgeist: Flache Hierarchien, starke Kolleg:innen, eindrucksvolle Events. Bei Blueforte erlebst du Zusammenhalt, der inspiriert und trägt. - #FITGESUND - Weil deine Gesundheit zählt: Mitgliedschaft bei Urban Sports Club oder EGYM Wellpass, Bikeleasing, betriebliche Krankenzusatzversicherung – und ein durchdachtes Corporate Health Management. - #FAMILYTIME - Wir denken Familie mit: 10 Tage Kind krank pro Jahr – ohne Bürokratie, mit vollem Gehalt. Sowie Kitazuschuss für deine Betreuungskosten. - #RESPONSIBLE - Nachhaltig unterwegs: E-Mobility, Bahnfahrten 1. Klasse und ÖPNV-Zuschuss – für deine smarte Mobilität.

Title: Staff-level Forward Deployed Engineer Location: Fort Worth United States Job Description: Description:Serves as a Staff-level Forward Deployed Engineer for AI Factory (an internal AI/ML Ops Platform), leading the use of Lockheed Martin's AI Factory platform to solve customer MLOps and GenAI problems. Owns customer solution discovery, architecture, implementation strategy, deployment, and adoption for high-value AI/ML workflows while ensuring the platform is used effectively, consistently, and with maximum reuse. Uses this deployment work to identify weaknesses in AI Factory's foundational products and platform, such as design flaws, performance gaps, reliability risks, and integration friction, and drives actionable remediation suggestions back to core platform engineering team. Core Responsibilities - Lead customer-facing technical discovery to translate mission, user, and program needs into deployable AI Factory solutions spanning MLOps pipelines, GenAI applications, and agentic workflows. - Own end-to-end delivery across solution design, integration planning, deployment strategy, rollout, and adoption in close coordination with customer stakeholders and internal platform teams. - Design and oversee deployment of Kubernetes-based MLOps and agentic pipelines across cloud and on-prem GPU-backed environments, including data processing workflows, model training pipelines, and GenAI application backends. - Act as a senior advocate for AI Factory's MLOps and GenAI platforms by guiding customers toward the best use of platform capabilities before bespoke solutions are introduced. - Discover design flaws, performance gaps, reliability risks, and integration friction in foundational products during deployment work, and translate those findings into actionable design change proposals for AI Factory product and engineering teams. - Provide technical direction to other FDEs through design reviews, implementation guidance, deployment standards, and reusable playbooks or reference architectures. - Stay hands-on on the highest-leverage technical work, including debugging deployment blockers, shaping interfaces, and guiding integrations across Kubernetes, data, model, and security boundaries. - Embed responsible AI, security, traceability, and operational guardrails into deployed solutions so they are supportable in production and defensible in regulated environments. - Maintain clear documentation and versioned artifacts to support certification, auditability, and long-term operational support in regulated environments. - Operates with a mixed model with remote work and direct support in customer environments. Success in the role requires balancing customer outcomes, strong platform advocacy, and long-term maintainability of the AI Factory ecosystem. #LMLAIC Basic Qualifications: - 5+ years of related experience in software engineering, platform engineering, MLOps, ML infrastructure, and/or GenAI systems. - Strong communication skills and the ability to work directly with customers, platform teams, and program stakeholders. - Demonstrated experience delivering production AI/ML systems or platform capabilities with ambiguous requirements and multiple stakeholders. - Experience designing, deploying, or operating MLOps pipelines, model deployment workflows, data and artifact lineage, or GenAI application backends. - Demonstrated ability to lead technical direction for other engineers through architecture, decomposition, code review, or deployment standards. - Hands-on familiarity with Kubernetes-based deployment patterns, GPU-backed environments, and secure software delivery practices. - U.S. citizenship and ability to obtain and maintain a Secret or Top Secret clearance. Desired Skills: - B.S. (or higher) in Computer Science, Electrical / Aerospace Engineering, Applied Mathematics, or related field. - Experience with enterprise AI/ML platforms such as Amazon SageMaker, Databricks Mosaic AI, Google Cloud Vertex AI / Gemini Enterprise Agent Platform, Microsoft Foundry, Domino Data Lab, Dataiku, IBM watsonx, or DataRobot. - Experience with LLM and GenAI systems, evaluation workflows, prompt or context engineering, or agentic application patterns. - Familiarity with Python and at least one backend or systems language such as Go or Rust. - Experience working across cloud and on-prem GPU environments. - Ability to communicate technical tradeoffs clearly to senior stakeholders while maintaining delivery momentum across customer and internal teams. Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $152,900 - $264,960. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900 - $234,370. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First