AI Integration and Architecture Systems Engineer
AI Integration and Architecture Systems Engineer
Elite Technical is seeking a AI Integration and Architecture Systems Engineer! The selected AI Integration and Architecture Systems Engineer will design and oversee the integration of all components (cloud, AI, security, APIs) to implement the documented solution, ensuring scalability, compliance, and interoperability. This role is critical for ensuring the solution meets operational, security, and scalability needs while aligning with future AI/ML advancements.Responsibilities include, but are not limited to:
- Architect end-to-end system integration, including Kubernetes, AWS, MCP, and RESTful APIs.
- Ensure compatibility between AI data pipelines, document vectorization, and human evaluation systems.
- Develop system diagrams and documentation for deployment, maintenance, and scalability.
- Collaborate with security teams to enforce ABAC, encryption, and RMF compliance.
- Lead testing and validation of cross-domain workflows (e.g., JWICS/C2S).
This position is a full-time employment opportunity with our client, who recently was awarded the opportunity to build an AI prototype for their government client. This is an exciting opportunity to lead the charge for a cutting-edge government AI related project.
Required Skills
Required Qualifications:- Clearance Required: Must be a U.S. Citizen and possess a current and active TS/SCI clearance granted by the Department of Defense or an Intelligence Community agency. Must be able to pass a Counterintelligence (CI) Polygraph (current CI Polygraph a plus).
- 5+ years in system architecture or cloud engineering.
- Proven experience with Kubernetes, AWS, and API integration.
- Excellent communication skills to bridge technical and business teams. Education Qualifications: Bachelor-s degree or higher or equivalent experience
Years of Experience:
- 9+ years w/ High School Diploma
- 5+ years w/ Bachelor's Degree, Master-s Degree, or PhD
Desired Qualifications:
- Experience with hybrid cloud environments and cross-domain data sharing (CDS).
- Background in AI/ML system deployment.
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