Job ID: 725321BR Date posted: Apr. 21, 2026
Description:Lockheed Martin's Enterprise Business & Digital Transformation (EBDT) organization is advancing its Conversational AI and Immersive Character capabilities in support of training utilities, digital twin applications, employee assistants, and enterprise-wide productivity tools. The Advanced Solutions Division within EBDT is seeking a Platform / Infrastructure Engineer to build, operate, and scale the cloud-native infrastructure that powers these capabilities across the enterprise.

YOu will be responsible for the reliable, secure, and cost-efficient operation of the Conversational AI platform — from Kubernetes-based hosting and container orchestration to SDK distribution pipelines, cloud render streaming, and observability. This individual will design and maintain the infrastructure that enables application teams across Lockheed Martin to consume AI character services at scale, while ensuring that all platform operations meet enterprise security, compliance, and performance standards.

As the AI tooling landscape evolves rapidly, this role demands an engineer who can build loosely-coupled, vendor-neutral infrastructure that is resilient to platform changes. The Platform Engineer works closely with the Systems/AI Architect to implement architectural direction, with integration developers to ensure smooth SDK delivery, and with knowledge and character teams to provide the hosting backbone for character management, inference, and session orchestration services.

Responsibilities:
• Deploy, configure, and maintain the Conversational AI platform on enterprise Kubernetes clusters (EKS / OpenShift), including inference containers, session management services, and API gateway layers
• Design and operate horizontal pod autoscaling, load balancing, and capacity management to support enterprise-wide concurrent usage targets
• Build and maintain the SDK distribution pipeline — ingesting vendor packages (Convai), running CIS security scans, and publishing validated artifacts to internal Nexus repositories in both raw and LM Integration variants
• Manage GitLab-hosted starter templates and CI/CD pipelines for Web, Unity, and Unreal SDK tracks
• Implement and operate cloud render streaming infrastructure for immersive and 3D character experiences delivered to thin clients, browsers, and XR devices
• Establish and maintain FinOps practices — monitoring infrastructure costs, identifying optimization opportunities, forecasting capacity needs, and reporting cost-per-interaction and total cost of ownership metrics
• Configure and maintain environment strategy across development, staging, production, and future classified enclaves, including network segmentation, encryption (TLS 1.3), and access controls
• Implement container image security scanning as part of the CI/CD pipeline, ensuring all deployed images meet CIS benchmark requirements
• Build and maintain the observability stack — centralized logging (Splunk/ELK), alerting on latency and error thresholds, health monitoring with readiness/liveness probes, and capacity dashboards
• Manage CDN / edge caching for avatar assets, animations, and static SDK resources
• Design and implement disaster recovery and failover strategies with defined RTO/RPO targets
• Support the MyAccess and ServiceNow integration for automated user provisioning to the Convai platform
• Collaborate with the security team on ISO 27001 alignment, audit logging, CUI/PII data handling, and preparation for classified environment deployment
• Participate in on-call rotation and incident response for platform availability issues

Must be a US Citizen

#EBDT
Basic Qualifications:
• Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related technical professional experience or equivalent experience in lieu of degree
• Hands-on experience deploying and operating containerized workloads on Kubernetes (EKS, OpenShift, or equivalent)
• Proficiency with infrastructure-as-code tools (Terraform, Helm, Ansible, or equivalent)
• Experience building and maintaining CI/CD pipelines (GitLab CI, Jenkins, or equivalent) including artifact scanning and promotion workflows
• Strong understanding of networking, load balancing, TLS, and API gateway configuration in cloud environments
• Experience with container image security scanning and compliance (CIS benchmarks, vulnerability management)
• Understanding of applied AI techniques including prompt engineering, utilization of code assistants, proper selection of foundation models for specific use cases, and a basic understanding of RAG and other knowledge recall patterns
• Proficiency with monitoring and observability tooling (Splunk, ELK, Prometheus/Grafana, or equivalent)
• Strong troubleshooting and incident response skills
*Must be US Citizen*
Desired Skills:
• Experience with cloud render streaming technologies (NVIDIA CloudXR, Pixel Streaming, or equivalent)
• FinOps certification or demonstrated experience with cloud cost optimization, chargeback models, and capacity forecasting
• Experience managing artifact repositories (Nexus, Artifactory) and SDK/package distribution at enterprise scale
• Familiarity with GPU-accelerated workloads and inference serving infrastructure (NVIDIA Triton, vLLM, or equivalent)
• Experience with WebSocket/gRPC streaming for real-time conversational or voice interaction workloads
• Knowledge of 3D engine ecosystems (Unreal Engine, Unity) and their deployment/packaging requirements
• Experience with ServiceNow automation, Active Directory integration, and SCIM-based user provisioning
• Familiarity with air-gapped or classified environment deployment patterns
• Experience with enterprise secrets management (HashiCorp Vault or equivalent)
• Prior experience in aerospace & defense or large-scale enterprise IT environments
• Understanding of ITAR, CUI, and classified network requirements
Clearance Level: None
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: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First