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Senior Cloud AI/ML Integration Engineer
Jobs via Dice, Honolulu, Hawaii, United States, 96814
Senior Cloud AI/ML Integration Engineer
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Jobs via Dice
Job ID: 2511279
Location: HONOLULU, HI, US
Date Posted: 2025-11-03
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10% of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: Top Secret
Potential for Remote Work: Yes
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.
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
Bachelor's 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.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is redefining ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Engineering and Information Technology
Industries:
Software Development
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–
Jobs via Dice
Job ID: 2511279
Location: HONOLULU, HI, US
Date Posted: 2025-11-03
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10% of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: Top Secret
Potential for Remote Work: Yes
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.
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
Bachelor's 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.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is redefining ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Engineering and Information Technology
Industries:
Software Development
Referrals increase your chances of interviewing at Jobs via Dice by 2x.
#J-18808-Ljbffr