Senior Cloud AI ML Integration Engineer

SAIC (Science Applications Int.)•Honolulu, HI

39d•$200,001 - $240,000

About The Position

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. 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.

Requirements

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.

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.