CACI International Inc

AI Engineer

• Design, develop, and implement enhancements to OIG Chat and pilot AI applications
• Develop model routing architectures, API patterns, prompt handling logic, and integrations with Azure OpenAI, Azure AI Foundry, and approved AI services
• Implement AI guardrails, safety controls, logging mechanisms, and model access patterns
• Design and build AI/ML pipelines consuming governed enterprise datasets
• Ensure data lineage, quality, and compliance with data governance policies
• Develop AI-assisted analysis for investigative hotline data, case records, and federal datasets
• Support trend identification, anomaly detection, link analysis, and pattern recognition
• Implement model versioning, monitoring, performance tracking, and automated validation
• Support pilot applications for eDiscovery, translation, transcription, and investigative analytics
• Conduct iterative prototyping and testing against limited datasets
• Develop secure coding practices for AI applications
• Provide prompting guidance, AI-enabled workflows, demonstrations, troubleshooting guides, and training content
• Collaborate with Government stakeholders, data engineers, platform teams, and security specialists within an Agile delivery framework

Senior AI Engineer

Platform Engineer

• Lead architecture, engineering, and implementation of DHS OIG AI platform capabilities, including OIG Chat, Azure OpenAI integration, Azure AI Foundry services, and mission-specific AI applications
• Design and oversee secure connection patterns and integration architectures between Azure Government and Azure Commercial/GCC environments
• Provide technical leadership for enterprise data platform, analytics integration, dashboarding services, and AI/ML infrastructure
• Lead technical options analysis, feasibility assessments, and level-of-effort estimates for platform enhancements and architectural decisions
• Coordinate platform-level technical decisions and integration points across AI applications, data pipelines, security controls, monitoring infrastructure, and cloud services
• Design and configure cloud infrastructure, including compute, storage, networking, identity management, API management, and service integration patterns
• Support access controls, role-based permissions, Entra ID/Azure AD integration, conditional access policies, and platform-level security measures
• Support FedRAMP baseline inheritance, ATO documentation, security control implementation, and compliance validation
• Oversee technical documentation, including architecture diagrams, integration specifications, design decisions, API documentation, security architectures, and platform capability inventories
• Coordinate with Government stakeholders, cybersecurity teams, M365/Azure administrators, and cross-functional development teams

Lead Engineer – Platform

Security Engineer

• Design, implement, and maintain security controls across AI platforms, data environments, and mission applications
• Implement and enforce RBAC, data security policies, and protective measures for SPII, LES, and FOUO data
• Integrate applications, data platforms, and cloud infrastructure with SIEM systems and log aggregation tools
• Monitor and analyze security logs, access patterns, and user behavior to detect threats and incidents
• Support ATO processes, security documentation, testing coordination, vulnerability assessment, remediation evidence, and compliance monitoring
• Perform vulnerability assessments, penetration testing coordination, secure code review, configuration assessments, and security validation
• Implement application security controls including input validation, output encoding, authentication/authorization, session management, secure API design, and OWASP Top 10 protections
• Provide forensic analysis and incident response support, including system reconstruction and digital evidence preservation
• Coordinate with DHS OIG cybersecurity, privacy, DevSecOps, and Authorizing Official teams
• Develop and maintain security architecture, control evidence, configuration, incident response, and knowledge transfer documentation
• Secure AI and data analytics capabilities supporting DHS OIG investigative, audit, and inspection operations

• Provide technical leadership and architectural direction for AI capabilities including OIGChat, pilot applications, and enterprise AI platform services
• Oversee secure, governed access to government-approved AI models across Azure Government and Commercial environments
• Lead design, development, and architecture of AI applications for investigative analytics, hotline analysis, eDiscovery, and oversight use cases from concept through production
• Establish and enforce model governance, cost management, and responsible AI frameworks
• Implement usage monitoring, token tracking, dashboards, thresholds, alerts, and guardrails
• Define AI/ML architecture patterns using governed, authoritative enterprise datasets
• Lead solution architecture and prototyping, technical feasibility assessments, and level-of-effort estimates
• Coordinate AI workload requirements and scalability planning across infrastructure, data, and application layers
• Lead AI engineering and data science resources, including specialized technical analysis, model development, validation, and production deployment
• Support model auditing, explainability, bias detection, and compliance with federal AI requirements and DHS OIG data governance policies
• Collaborate with Government leadership, platform engineers, security specialists, and product teams on mission priorities, Agile delivery, and enterprise architecture standards

AI Engineering Lead

QA Automation Engineer

• Design, develop, and maintain Infrastructure as Code using Terraform for repeatable, version-controlled Azure environment deployments
• Build and manage CI/CD pipelines and deployment automation using GitHub Actions, Azure DevOps, and approved DevSecOps tooling
• Implement automation using Ansible, Python, PowerShell, or other approved technologies
• Support containerization strategies for OIGChat, AI platform services, and analytical applications
• Implement monitoring, logging, and alerting infrastructure using Azure Monitor, Log Analytics, and approved observability tools
• Automate data quality checks, validation workflows, and operational processes
• Maintain infrastructure baselines, tagging standards, resource naming conventions, and configuration management
• Support cloud infrastructure deployment for pilot AI applications and analytical workloads
• Develop technical documentation including architecture diagrams, runbooks, deployment procedures, and infrastructure-as-code repositories
• Collaborate with government stakeholders, security teams, and development teams to integrate DevSecOps practices, support Agile delivery, and maintain security and compliance posture

Cloud Automation Engineer

Data Engineer

• Lead the design, development, testing, and implementation of enterprise data ingestion and transformation pipelines
• Consolidate investigative records, hotline data, DHS datasets, and federal/commercial data sources into a centralized, governed data platform
• Oversee migration from legacy Informatica platforms and on-premises Python scripts to modern cloud-based data integration solutions
• Architect scalable batch, incremental, streaming, and metadata-driven data integration pipelines
• Lead operation, automation, monitoring, reporting, performance optimization, failure remediation, data quality validation, and SLA compliance for production pipelines
• Design and implement integrations with DHS data fabric, Delta Sharing, APIs, secure file transfer mechanisms, and data-sharing protocols
• Coordinate phased data onboarding, including technical discovery, source system analysis, data profiling, pipeline design, testing, and production deployment
• Provide technical leadership for data architecture and cloud analytics engineering, including lakehouse design and relational, graph, and geospatial data modeling
• Lead and coordinate data engineering resources, including surge support for complex analytical needs and forensic data reconstruction
• Develop and maintain technical documentation, data lineage, pipeline architecture, integration specifications, operational runbooks, and best practices
• Collaborate with Government stakeholders, platform architects, AI engineers, and governance specialists to support mission analytics, data governance, and AI model consumption

Chief Data Engineer

DevOps Engineer

• Serve as a Staff Infrastructure/DevOps Engineer
• Work closely with a talented team to deliver a complex software application into operations
• Design, implement, and maintain infrastructure and DevSecOps environments
• Work with AWS, Terraform, Ansible, Packer, containerization, Kubernetes, Helm, Git, CI/CD pipelines, Python, relational databases, and Grafana
• Troubleshoot infrastructure and software delivery issues
• Support cloud platforms, container orchestration, scripting, automation, and programming activities

Staff Infrastructure, DevSecOps Engineer

SDET

• Design, develop, and implement software requirement verification and validation test plans and procedures
• Perform software integration, requirement analysis, test planning and execution, performance analysis, troubleshooting, and coordination for remediating software defects
• Write test procedure scripts in Perl, Python, Linux, and automated software test tools
• Conduct test walkthroughs
• Communicate plans, status, and out-briefs with IPT leads, team members, and the customer
• Deliver full-stack features from implementation through deployment
• Drive features through review, testing, and deployment while identifying integration issues and edge cases
• Develop clean, maintainable, testable, production-ready code
• Create unit and integration tests, debug issues, and contribute to code reviews
• Assist junior engineers through questions, pairing, troubleshooting, and integration guidance
• Help onboard new team members with workflows and tools
• Work with REST APIs, microservices, cloud deployments, CI/CD pipelines, and automated test frameworks
• Clarify requirements with product and design partners
• Communicate progress and challenges, participate in technical discussions, and document work
• Learn technologies relevant to automation, integration, and system reliability
• Identify opportunities to improve code quality, processes, and tooling

Software Integration & Test Engineer

Insurance

• Lead deployment, configuration, and optimization of SAP GRC Process Control and Risk Management modules
• Collaborate with Audit partners and business stakeholders to enhance controls, strengthen compliance posture, and drive effective risk processes
• Support enhancements, troubleshooting, and maintenance of SAP GRC solutions
• Document and communicate process changes, risk assessments, and control activities for cross-functional consumption

SAP Process Control, Risk Management Specialist

Machine Learning Engineer

• Apply AI/ML-based computer vision algorithms to remote sensing problems, including Automatic Target Recognition and multimodal data fusion for EO and SAR
• Mature, optimize, and deploy algorithms to a cloud-hosted environment
• Lead small teams of developers and researchers implementing AI/ML algorithms for remote sensing computer vision problems
• Analyze and preprocess large remote sensing datasets
• Research supervised and unsupervised ATR solutions
• Research performance benefits of multimodal data fusion for ATR under diverse data collection scenarios
• Train, optimize, and deploy deep learning computer vision models providing analysts with actionable insights
• Review relevant publications, explain key ideas to government customers, and apply concepts to defense and commercial applications
• Write technical documentation for code, program capabilities, and user guides
• Mentor junior engineers

Computer Vision AI/ML Engineer

Solutions Engineer

• Provide expert-level technical leadership across FEMA's technology portfolio assessment
• Conduct architectural reviews covering application design, hosting patterns, data architecture, integration maturity, API readiness, and cybersecurity posture
• Determine modernization pathways including retain, rehost, replatform, reengineer, replace, consolidate, or retire
• Analyze application and system architectures, platform dependencies, middleware, configuration management, and deployment patterns
• Evaluate monolithic and microservices architectures and decomposition opportunities
• Review development frameworks, technology stacks, programming languages, and technical debt
• Assess containerization readiness, cloud-native potential, and modernization feasibility
• Document architectural constraints, dependencies, technical barriers, legacy technology risks, vendor lock-in, and obsolescence
• Assess data models, metadata management, data governance, lineage, data flows, accessibility, quality, and analytics/AI readiness
• Identify data consolidation, master data management, and data standardization opportunities
• Assess data residency, privacy controls, and sensitive data handling
• Contribute to cybersecurity posture reviews including ATO status and RMF package currency
• Assess NIST SP 800-53 controls, IAM, MFA, privileged access management, logging, monitoring, SIEM integration, DHS policies, zero trust, and CDM alignment
• Evaluate AI and automation readiness, responsible AI governance needs, technical feasibility, risks, oversight, and ethical considerations
• Recommend RPA, intelligent document processing, and predictive analytics opportunities
• Develop detailed modernization options and quantify technical effort, duration, team size, and skills required
• Analyze migration costs, licensing changes, hosting model shifts, and total cost of ownership
• Document transition risks, dependencies, sequencing constraints, and rollback strategies
• Identify phased migration, strangler pattern, and incremental modernization approaches
• Trace evidence through findings to recommendations for defensible, auditable decision rationale

Systems Engineer – Solution Architect

Project Manager

• Facilitate structured discovery sessions with system owners, program offices, regional operations staff, and end users across FEMA headquarters and all Regional offices
• Document frequency and purpose of system usage, stakeholder communities, and evolving mission requirements
• Lead stakeholder interviews and workshops capturing operational realities
• Build trusted relationships with mission owners
• Map mission-critical functions and operational dependencies for each assessed system
• Quantify outage impacts and consequences across steady-state operations and disaster surge conditions
• Assess surge performance requirements and system behavior during emergency response scenarios
• Trace system support for FEMA's preparedness, response, recovery, and mitigation mission areas
• Document operational pain points, manual workarounds, inefficient processes, shadow IT solutions, and capability gaps
• Identify barriers to system adoption, consolidation opportunities, replacement readiness, and improvement opportunities
• Analyze business process documentation, SOPs, and workflow artifacts
• Evaluate system capabilities against mission requirements and actual business needs
• Recommend modernization-enabled process improvements
• Assess customer and user experience across internal and external user communities
• Evaluate SLAs, performance metrics, delivery reliability, usability, accessibility, and user adoption
• Document delivery bottlenecks affecting mission outcomes or user satisfaction
• Draft comprehensive system mission profiles
• Contribute mission-focused inputs to scoring rubrics, confidence indicators, and validation frameworks
• Validate facts, findings, and assumptions with stakeholders
• Support prioritization model development using mission impact, operational risk, cost-benefit, feasibility, sequencing logic, and quantified benefits

ITSA Project Manager

Data Analyst

• Conduct structured interviews, facilitated sessions, and questionnaires with system owners, program offices, technical leads, and end users
• Capture system usage, user populations, stakeholder communities, mission dependencies, business criticality, and usage patterns
• Elicit pain points, workarounds, manual processes, adoption barriers, and modernization needs
• Coordinate interview scheduling, prepare discussion guides, and facilitate discovery conversations
• Collect architecture diagrams, system design documents, interface specifications, technical manuals, SOPs, user guides, training materials, and process workflows
• Gather performance metrics, availability reports, incident logs, SLA tracking data, security documentation, cost data, investment data, and financial reports
• Maintain organized evidence repositories with version control, metadata tagging, and traceability
• Develop and maintain evidence logs linking documentation to assessment findings and recommendations
• Ensure traceability from raw evidence through analysis to conclusions and support audit trails
• Document evidence quality, source authority, and confidence levels
• Track evidence gaps and coordinate follow-up requests
• Maintain chain of custody for procurement-sensitive, FOUO, or controlled unclassified information
• Organize evidence packages for quality review, Government validation, and final deliverables
• Assist with data flow diagrams and integration inventories
• Document manual workarounds, spreadsheet-based integrations, shadow IT, redundant data, and consolidation opportunities
• Capture API usage, file transfer patterns, and batch processing schedules
• Identify undocumented interfaces and informal data sharing practices
• Work alongside senior architects and mission analysts to support evidence-based assessments of FEMA's IT portfolio

Network Engineer

• Evaluate hosting models across cloud (AWS, Azure, hybrid-cloud), on-premises data centers, and colocation environments
• Assess scalability, capacity headroom, availability architectures, redundancy configurations, and resiliency patterns for disaster surge operations
• Evaluate environment complexity and operational support models; recommend simplification and standardization opportunities
• Document hosting infrastructure dependencies and technical debt constraining modernization
• Inventory and document LAN/WAN topologies, routing protocols, and network segmentation strategies
• Assess VPN implementations, firewall configurations, proxy architectures, and perimeter security controls
• Evaluate load balancing strategies, traffic flow patterns, and network performance optimization
• Analyze connectivity among FEMA headquarters, regional offices, field operations, and external partner systems
• Identify network bottlenecks, latency issues, bandwidth constraints, performance bottlenecks, and capacity planning gaps
• Evaluate availability targets and uptime against mission requirements
• Analyze resiliency patterns and single points of failure
• Contribute to IAM and MFA enforcement assessments
• Support privileged access architecture reviews and least-privilege implementation analysis
• Assess infrastructure and network logging and monitoring maturity
• Evaluate security segmentation, micro-segmentation opportunities, and zero-trust architecture readiness
• Document security controls, network security posture, and vulnerability remediation status
• Inform strategic decisions on cloud migration, network modernization, disaster recovery enhancement, and infrastructure consolidation

• Design, implement, and maintain SAP security roles and authorizations across SAP S/4HANA, Fiori, BTP, and related systems
• Manage and optimize SAP GRC Access Control for regulatory compliance and risk management
• Configure and oversee SAP Fiori and SAP BTP security frameworks
• Integrate Identity Management (IdM) solutions across SAP landscapes
• Monitor, troubleshoot, and resolve SAP security issues
• Conduct routine security audits, assessments, and reviews
• Develop, document, and enforce SAP security standards and best practices
• Collaborate with cross-functional teams to support secure deployments and system upgrades
• Stay informed on SAP security trends, technologies, and evolving threats