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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Engineer 4 (AI-focused) - **Company:** Base-2 Solutions, LLC - **Location:** United States - **Experience:** Expert - **Salary:** $10,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Engineering, Configuration Management, Information Engineering, DevOps, Information Lifecycle Management, Information Management, Software Requirements Analysis, Systems Architecture, Machine Learning Operations, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fc58b81180d9fc2d ## About the Role * Active TS/SCI with Full Scope Polygraph. * Experience in systems engineering sufficient to meet one of the stated education/experience pathways. * Experience applying systems engineering principles across the system life cycle. * Ability to support technical integrity, quality, and completeness of systems engineering deliverables. * Ability to communicate effectively with Government stakeholders, program personnel, and senior executives. * Experience with cloud architecture, cloud engineering, or platform engineering, especially in AWS. * Experience with AI/ML system design and implementation. * High-level understanding of the AI lifecycle, including development, training, inference, and monitoring. * Experience with ML pipeline development, model deployment, and DevOps/MLOps. * Experience with system security and networking, particularly implementation of system security on classified systems. * Experience with data engineering and data lifecycle management. * Excellent communication and collaboration skills with varied stakeholder groups and the ability to proactively engage them to understand requirements and inform system architecture decisions., * Experience with Amazon SageMaker., Years of Experience High School Diploma/GED 14 Associates Degree 14 Bachelors' Degree 10 Masters' Degree 8 PhD 8 ## Description Base-2 Solutions is seeking a Systems Engineer 4 to apply systems engineering principles across the full system life cycle, supporting technical integrity, quality, and completeness of work products and deliverables. This role supports AI-focused cloud and platform engineering efforts, with emphasis on AWS, AI/ML systems, security, and data lifecycle management., * Apply systems engineering principles throughout the system life cycle phases of concept, development, production, utilization, support, and retirement. * Interface with the Government regarding systems engineering technical considerations and associated problems, issues, or conflicts. * Communicate with program personnel, government overseers, and senior executives. * Maintain responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 ISO/IEC 15288 process areas. * Support technical process areas including stakeholder requirements definition, requirements analysis, architectural design, implementation, integration, verification, transition, validation, operation, maintenance, and disposal. * Support project process areas including project planning, project assessment and control, decision management, risk management, configuration management, information management, and measurement. * Support enterprise process areas including project portfolio management, infrastructure management, lifecycle model management, human resource management, and quality management. * Support agreement process areas including acquisition and supply. ## Related Videos - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)