
Description
Description
SAIC is seeking a AI Cloud Engineer with expertise in Signal Intelligence (SIGINT) processing to support SAIC's Prime Program, Landmark AOS in Chantilly, VA. Landmark AOS is a large SETA program, supporting the NRO's Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.
As the AI Cloud Engineer you will be responsible for staying current on emerging AI and cloud technologies and applying this knowledge to enhance architecture and SIGINT processing. As a SETA, you will also support key future architecture efforts and strategic/enterprise planning activities, ensuring our systems are cutting-edge and robust to meet our customers' needs.
Responsibilities to include:
- Identify and assess potential applications of these technologies in SIGINT processing and architecture.
- Support the implementation of innovative AI/Cloud solutions to enhance system capabilities.
- Establish and promote best practices and standards for AI and cloud technologies in SIGINT processing.
- Develop and design scalable, secure, and efficient cloud-based architectures for SIGINT systems.
- Collaborate with cross-functional teams to integrate AI and cloud technologies into existing architectures.
- Continuously research and evaluate emerging AI and cloud technologies.
- Ensure alignment of architecture with strategic business and technology goals.
- Support key strategic and enterprise planning activities.
- Contribute to the development of long-term technology roadmaps.
- Provide expert advice on future architectural directions and technology investments.
- Work closely with stakeholders, including technical teams, project managers, and executives, to understand requirements and provide technical solutions.
- Communicate complex technical concepts to non-technical stakeholders effectively.
- Foster a collaborative environment to promote knowledge sharing and innovation.
- Develop and maintain comprehensive architectural documentation.
Qualifications
Required Education and Experience:
- Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
- Active Top Secret/SCI with Poly
- Experience in AI OR cloud computing; and system architecture, with a focus on SIGINT processing.
- Deep understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and AI technologies (e.g., machine learning, deep learning).
- Proven experience in supporting large-scale, secure, and high-performance cloud-based systems.
- Strong knowledge of SIGINT principles, techniques, and technologies.
- Excellent problem-solving skills and the ability to think strategically and innovatively.
- Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
- Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) are a plus.
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