Description
Description
SAIC is seeking a mission-focused Senior Cloud AI/ML Integration Engineer to support the Air Operations Center Weapons System (AOC WS) Falconer program in modernizing, securing, scaling, and integrating cloud-based infrastructure and AI/ML workloads. The ideal candidate combines deep technical expertise in AWS, Kubernetes, and containerization with strong software development and AI/ML integration skills, and the ability to communicate effectively with both technical and non-technical stakeholders, including subject matter experts (SMEs), USAF personnel, and various partners.
SAIC is seeking a mission-focused AWS Cloud Engineer to support the Air Operations Center Weapons System (AOC WS) Falconer program in modernizing, securing, scaling, and integrating cloud-based infrastructure and AI/ML workloads. The ideal candidate combines deep technical expertise in AWS, Kubernetes, and containerization with strong software development and AI/ML integration skills, and the ability to communicate effectively with both technical and non-technical stakeholders, including subject matter experts (SMEs), USAF personnel, and various partners.
As part of a multidisciplinary team supporting the Department of Defense (DoD), you will design, implement, and maintain secure, compliant, and automated cloud environments that enable AI-driven capabilities for Air Force missions.
Roles and Responsibilities:
· Lead the implementation and integration of AI/ML technologies to support the AOC WS Falconer Program.
· Conduct data analysis and dataset management of C2 or non-C2 AOC-related data elements to support AI application development and integration.
· Integrate a wide variety of C2 and non-C2 data sources including legacy applications to support use cases for AI/ML applications.
· Develop, test, and validate models and applications to ensure accuracy and reliability.
· Design and deploy secure AWS resources that comply with DoD Cloud Computing SRG (Impact Level 6) and Zero Trust principles.
· Implement and manage containerized workloads using Kubernetes (Amazon EKS) and container registries (such as ECR, Harbor, or Nexus).
· Integrate and optimize AI/ML workloads and LLM-based applications, including model training, inference, and data pipelines.
· Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform, CloudFormation, or CDK for repeatable, compliant deployments.
· Build and automate CI/CD pipelines for software and ML model delivery using tools such as GitLab.
· Collaborate closely with domain experts, stakeholders, cybersecurity personnel, and developers to translate mission requirements into scalable, secure cloud architectures.
Qualifications
Required Education and Skills:
· Bachelors degree in Computer Science or related technical/engineering field and (18)+ years of related experience
· Active DoD Secret Clearance with the ability to obtain a Top Secret / SCI clearance.
· Current IAT Level 2 Certification (such as CompTIA Security+)
· Relevant experience with cloud technologies/providers and understanding/designing scalable & secure cloud architectures for AI applications.
· Relevant experience with programming (e.g., Python), data science/dataset analysis, prompt engineering & lifecycles, and production AI/Ml technologies.
· Experience with data processing and integration using Python
· Experience with Apache tools and technologies such as Kafka, Accumulo, Zookeeper, Hadoop/HDFS, and Fluo
· Experience with relational databases such as PostgreSQL, Microsoft SQL Server, and Oracle
· Experience with map servers such as Tileserver, Geoserver, etc.
· Experience with metrics monitoring and alerting systems such as Prometheus
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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