Big Data Platforms / AI Hardening Portfolio and Intake Project M

Koniag Services, Inc.
Arlington, VA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Cloud Computing Cloud Computing Security Cloud Engineering Cyber Security Information Systems Data Architecture Information Engineering Data Infrastructure Distributed Systems Identity and Access Management
+20 more
Interoperability Machine Learning Cloud Services Zero Trust Network Access Azure Machine Learning Security Software Systems Integration AI Infrastructure Enterprise Data Management Data Logging Data Storage Technologies Cloud Platform System Apache Spark AI Platforms Kubernetes Information Technology Machine Learning Operations Data Pipelines Devsecops Databricks

Job description

Koniag IT Systems, LLC is seeking is seeking a senior Technical Big Data Platforms / AI Hardening Portfolio and Intake Project Manager to provide technical assessment, portfolio management, and integration support for enterprise data platforms and AI-enabled systems within a senior DoW executive organization.

The successful candidate will evaluate large-scale data processing environments, AI infrastructure, platform security, and technical modernization initiatives.

This individual will assess technical requirements, identify architecture and cybersecurity risks, and support the planning and implementation of secure, scalable data and AI platforms.

The position requires experience with enterprise data architecture, AI infrastructure, cybersecurity controls, and technical project execution.

Essential Duties and Responsibilities:

  • Manage intake and technical assessment of enterprise big data, analytics infrastructure, and AI platform initiatives.

  • Evaluate data platform architectures for scalability, interoperability, resilience, performance, and security.

  • Assess AI infrastructure hardening requirements, including identity and access management, data protection, logging, monitoring, and configuration security.

  • Identify technical risks associated with data pipelines, AI model hosting, data storage, and platform integration.

  • Coordinate with cybersecurity, cloud engineering, data architecture, and infrastructure teams.

  • Support technical requirements development and solution evaluation.

  • Assess platform compliance with applicable DoW cybersecurity requirements and Zero Trust principles.

  • Develop technical implementation roadmaps, risk assessments, and portfolio prioritization recommendations.

  • Evaluate dependencies involving data availability, compute resources, cloud services, and operational environments.

  • Prepare executive-level technical assessments and recommended courses of action.

  • Support pilot planning, technical validation, and operational transition of approved initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related discipline.

  • 10 years of experience in enterprise IT architecture, big data platforms, technical consulting, or cybersecurity engineering.

  • Demonstrated experience with large-scale data platforms and distributed computing environments.

  • Experience with cloud infrastructure, data engineering, or AI/ML platform deployment.

  • Understanding of platform security, cybersecurity hardening, and Zero Trust principles.

  • Familiarity with RMF and applicable federal cybersecurity requirements.

  • Experience supporting technical project management and enterprise technology integration.

  • Strong analytical and executive communication skills.

Preferred Qualifications:

  • Master’s degree in Computer Science, Engineering, Cybersecurity, or a related discipline.

  • Experience with Databricks, Spark, Kubernetes, cloud-native data platforms, or comparable technologies.

  • Experience securing AI/ML development and production environments.

  • Familiarity with DevSecOps, MLOps, and automated security validation.

  • Experience supporting DoW or Intelligence Community data environments.

  • CISSP, CCSP, or relevant cloud security certification.

Security Clearance:

  • Active Top Secret clearance with SCI eligibility/access required.

Benefits & conditions

Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.

About the company

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

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