planning engineer

building engineer

civil engineer

project manager

sales engineer

enterprise architect

GLS Systems

TOPOLOGY OVERVIEW: ENTERPRISE ARCHITECTURE &amp; COHESION LOCATION: Arraya Tower, Kuwait CityENTITY: GLS SystemsFISCALS: KWD 2,800 Monthly (Comprehensive Package)The Architectural Landscape Situated in the iconic Arraya Tower, GLS Systems is seeking an Enterprise Architect to serve as the master strategist for our multi-layered technology stack. This is a top-tier role for a professional who views an organization not as a collection of apps, but as a living ecosystem of data and logic. You will be responsible for the high-level design and structural integrity of all corporate IT assets, ensuring that GLS Systems remains the most robust technological entity in Kuwait City.Core Architectural Domains<ul><li>Business-Technology Alignment: Define and govern the enterprise-wide technology standards that map directly to GLS Systems&rsquo; long-term commercial objectives and operational scalability.</li><li>Infrastructure &amp; Cloud Orchestration: Design the overarching blueprints for hybrid-cloud environments, ensuring seamless integration between legacy on-premise systems and modern SaaS distributed architectures.</li><li>Data Governance &amp; Flow Integrity: Establish the master data management (MDM) frameworks that ensure a &quot;single source of truth&quot; across all business units, optimizing for both security and rapid retrieval.</li><li>Technical Debt Governance: Lead the continuous evaluation of the current technology portfolio, identifying aging infrastructure for decommissioning and managing the strategic rollout of emerging replacements.</li></ul>Candidate DNA<ul><li>Experience Horizon: 10+ years in IT leadership or senior architecture roles, with a proven history of managing complex enterprise-scale transformations in the GCC or international markets.</li><li>Strategic Toolkit: Mastery of TOGAF, Zachman, or FEAF frameworks; deep architectural knowledge of ERP (SAP/Oracle), CRM systems, and microservices-based integration patterns.</li><li>Communication Standards: Advanced C2-level proficiency in professional English is mandatory for high-stakes board presentations and technical policy drafting.</li><li>Asynchronous Knowledge Archiving: Expert-level proficiency in using Loom to record &quot;Architecture Decisions Records&quot; (ADRs) and high-level system walkthroughs for technical stakeholders.</li></ul>The Corporate Context GLS Systems offers an elite, strategic workspace in the heart of Kuwait City&rsquo;s premier corporate tower. This position provides a premium KWD 2,800 monthly salary and the authority to define the digital future of an enterprise-level leader.الراتب المدفوع: KWD٢٬٨٠٠٫٠٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Enterprise Architect

Zain

<div>About the Role 
The AI Solution/Platform Architect defines technical solution designs and ensures alignment with Group AI reference architecture across all AI initiatives. This role conducts architecture reviews, provides design guidance to delivery teams, resolves complex technical dependencies, and ensures OpCo implementations comply with Group standards. The Architect partners with the Director, Tech &amp; Platforms on platform strategy and reference architecture evolution, engages with OpCo technical teams on solution design, and serves as the technical escalation point for delivery teams. This role requires deep understanding of AI architectures, enterprise integration patterns, and the ability to balance technical purity with pragmatic business constraints in a federated organization.
Key Accountabilities<ul><li> 
Design end-to-end technical solutions for AI use cases ensuring alignment with Group reference architecture</li><li>
Conduct architecture reviews and provide design guidance to delivery teams and OpCo technical staff</li><li>
Resolve complex technical dependencies across enterprise systems, data sources, and platforms</li><li>
Ensure OpCo AI implementations comply with Group architecture standards or have documented exceptions</li><li>
Partner with Director, Tech &amp; Platforms on reference architecture definition and evolution</li><li>
Define integration patterns for AI systems with enterprise platforms (CRM, BSS/OSS, data platforms)</li><li>
Support platform evaluation and vendor selection with technical due diligence and architecture assessment</li><li>
Create architecture blueprints, design patterns, and technical reference materials for reuse</li><li>
Serve as technical escalation point for delivery teams on complex architecture challenges</li><li>
Engage with OpCo architects and technical leads to drive architecture alignment and knowledge sharing</li></ul>
KPIs include but are not limited to:
<ul><li>Architecture compliance: percentage of solutions compliant with reference architecture</li><li>
Design quality: solution architecture quality as measured by peer reviews and production issues</li><li>
Reusability: number of reusable patterns and accelerators created and adopted</li><li>
OpCo alignment: percentage of OpCos aligned to Group architecture standards</li><li>
Technical escalation resolution: time to resolve complex architecture issues</li></ul>
What We Need From You 
Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
Experience: 10+ years in technology roles with 5+ years in solution architecture or enterprise architecture. Experience designing AI/ML solutions, enterprise integrations, and cloud architectures. Background in telecom BSS/OSS systems or complex regulated industries valuable.
Knowledge: Deep understanding of AI/ML architectures (GenAI, traditional ML, automation), enterprise integration patterns, cloud platforms, and data architectures. Experience with architecture frameworks (TOGAF, Zachman) and governance. Strong communication skills to explain complex technical concepts to diverse audiences.</div>

AI Solution/Platform Architect

Future Technology Systems Co. (FutureTEC)

<div>
 
 
 Job Title:
 
 Microsoft Practice Lead - Azure
 
 
 
 Company:
 
 FutureTEC
 
 
 
 Location:
 
 Kuwait
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 
 
 
 Role Overview
 
 
 
 FutureTEC is seeking a highly experienced and driven
 
 Microsoft Practice Lead &ndash; Azure
 
 to establish, lead, and grow our Microsoft Business Unit, with a primary focus on Azure solutions and services.
 
 
 
 
 
 This is a strategic leadership role responsible for building a high-impact Microsoft practice, driving revenue growth, managing the Microsoft partnership, and developing strong technical and commercial capabilities across cloud, data, and application innovation domains.
 
 
 The role combines business leadership, technical credibility, and go-to-market execution, acting as the central point of ownership for Microsoft-related initiatives within FutureTEC.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Practice Leadership &amp; Strategy
 
 
 <ul>
 <li>
 Establish and lead the Microsoft (Azure) practice within FutureTEC
 </li>
 <li>
 Define the business unit strategy, offerings, and growth roadmap
 </li>
 <li>
 Align Microsoft initiatives with overall company objectives
 </li>
 </ul>
 
 
 
 
 
 Microsoft Partnership &amp; Ecosystem
 
 
 <ul>
 <li>
 Act as the primary point of contact with Microsoft
 </li>
 <li>
 Drive achievement of Microsoft Solutions Partner designations
 </li>
 <li>
 Manage certifications, competencies, and partner requirements
 </li>
 <li>
 Collaborate with Microsoft on joint opportunities and initiatives
 </li>
 </ul>
 
 
 
 
 
 Revenue Growth &amp; Go-To-Market
 
 
 <ul>
 <li>
 Own the Microsoft practice revenue targets and pipeline
 </li>
 <li>
 Work closely with Sales, Presales, and Marketing teams
 </li>
 <li>
 Define and execute go-to-market strategies for Azure solutions
 </li>
 <li>
 Identify and drive new business opportunities
 </li>
 </ul>
 
 
 
 
 
 Presales &amp; Solution Leadership
 
 
 <ul>
 <li>
 Lead solution design for strategic opportunities
 </li>
 <li>
 Participate in executive-level client engagements
 </li>
 <li>
 Position Azure-based solutions aligned with client needs
 </li>
 </ul>
 
 
 
 
 
 Team Building &amp; Capability Development
 
 
 <ul>
 <li>
 Build and lead a high-performing Microsoft team, including:
 </li>
 <li>
 Azure Solutions Architect
 </li>
 <li>
 Azure DevOps Engineers
 </li>
 <li>
 Azure Data &amp; AI Engineers
 </li>
 <li>
 Define skills, certifications, and capability roadmap
 </li>
 <li>
 Mentor and develop technical and presales teams
 </li>
 </ul>
 
 
 
 
 
 Delivery Oversight
 
 
 <ul>
 <li>
 Ensure successful delivery of Azure solutions and services
 </li>
 <li>
 Maintain high quality, customer satisfaction, and best practices
 </li>
 <li>
 Oversee complex or strategic engagements
 </li>
 </ul>
 
 
 
 
 
 Required Certifications (Strongly Preferred)
 
 
 <ul>
 <li>
 At least one of the following:
 </li>
 <li>
 AZ-305 &ndash; Azure Solutions Architect Expert
 </li>
 <li>
 AZ-104 &ndash; Azure Administrator Associate
 </li>
 <li>
 Multiple Microsoft certifications are highly preferred
 </li>
 </ul>
 
 
 
 
 
 Required Experience &amp; Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in IT, cloud, or technology services
 </li>
 <li>
 Strong experience with Microsoft Azure solutions and ecosystem
 </li>
 <li>
 Proven experience in a leadership role (practice lead, head of unit, or similar)
 </li>
 <li>
 Experience in presales, solution design, and client engagement
 </li>
 <li>
 Strong understanding of Microsoft partner programs and requirements
 </li>
 <li>
 Experience building or scaling a business unit or practice
 </li>
 <li>
 Strong commercial and business acumen
 </li>
 <li>
 Excellent communication and leadership skills
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience working with system integrators or managed service providers
 </li>
 <li>
 Exposure to Data &amp; AI, DevOps, or application modernization
 </li>
 <li>
 Experience working with enterprise or government clients
 </li>
 </ul>
 
 
 
 
 
 Why Join FutureTEC
 
 
 <ul>
 <li>
 Lead and build a strategic Microsoft Business Unit
 </li>
 <li>
 Play a key role in a high-growth technology organization
 </li>
 <li>
 Work closely with executive leadership
 </li>
 <li>
 Drive impactful enterprise and government transformation projects
 </li>
 </ul>
 
 
</div>

Microsoft Practice Lead – Azure

Sai Technology Solutions

Job Title: Business Intelligence DeveloperAbout the RoleSAI Technology Solutions is seeking a highly skilled Business Intelligence Developer to join our growing data and analytics team in Kuwait City. This is an exciting opportunity for a data-driven professional who enjoys transforming complex datasets into clear, actionable business insights.If you are passionate about dashboards, data modeling, and helping organizations make smarter decisions, this role offers strong career growth, modern tools, and exposure to enterprise-level analytics projects.Why This Role Is Attractive<ul><li>Work on high-impact business intelligence and analytics projects</li><li>Modern data stack (SQL, Power BI, cloud platforms)</li><li>Career growth into Senior BI / Data Architect roles</li><li>Exposure to enterprise clients and real-world decision systems</li><li>Competitive tax-free salary in Kuwait</li></ul>Key Responsibilities<ul><li>Design, develop, and maintain interactive dashboards using Power BI</li><li>Write advanced SQL queries for data extraction, transformation, and analysis</li><li>Build and optimize data models and ETL processes</li><li>Translate business requirements into technical BI solutions</li><li>Collaborate with stakeholders to define KPIs and reporting standards</li><li>Ensure data accuracy, consistency, and performance optimization</li><li>Support data warehouse development and reporting architecture</li></ul>Requirements<ul><li>3&ndash;7+ years of experience in Business Intelligence or Data Analytics</li><li>Strong proficiency in SQL</li><li>Hands-on experience with Power BI (or Tableau)</li><li>Experience with data modeling and reporting tools</li><li>Understanding of data warehousing concepts</li><li>Ability to communicate insights clearly to non-technical stakeholders</li><li>Bachelor&rsquo;s degree in Computer Science, IT, Data Science, or related field</li></ul>About the CompanySAI Technology Solutions is a technology-driven company focused on delivering innovative IT and data solutions across enterprise environments. We specialize in digital transformation, analytics, and intelligent systems that help businesses make data-backed decisions.Why Work With UsAt SAI Technology Solutions, we believe in empowering our team with modern tools, meaningful projects, and continuous learning opportunities. You&rsquo;ll be part of a collaborative environment where your work directly influences business outcomes.Apply NowIf you&rsquo;re ready to grow your career in Business Intelligence and work on impactful data projects, we encourage you to apply today. Join us and turn data into decisions.Pay: KD900.000 - KD1,800.000 per monthWork Location: In person

Business Intelligence Developer

Burgan Bank

<div>
 
 
 
 Position: Principal Technical Expert - AI Factory
 
 
 
 
 
 
 Group: Information Technology
 
 
 
 
 
 
 
 
 Primary Job Purpose
 
 
 
 
 
 
 The Principal Technical Expert &ndash; AI Factory is a strategic leadership position responsible for establishing Artificial Intelligence as a core competitive capability within the Bank. Reporting to the IT General Manager through the IT Technology Factory structure, this role drives the vision, architecture, and execution of enterprise-wide AI initiatives while building and leading a world-class technical team. The position bridges innovation and operations, ensuring AI solutions deliver measurable business value while maintaining the highest standards for governance, security, and ethical compliance.
 
 
 The job holder must have solid skills, knowledge and understanding of artificial intelligence, machine learning, data science and emerging technologies, combined with expert-level strategic thinking and exceptional leadership capabilities. The role requires the ability to analyse complex technical challenges, architect scalable solutions, drive organizational transformation, and ensure implemented systems meet enterprise security, performance, and compliance benchmarks, while delivering value on time and within budget.
 
 
 
 
 
 
 Job Roles &amp; Responsibilities:
 
 
 
 
 
 
 
 AI Strategy, Planning &amp; Management
 
 
 
 
 
 
 AI Strategy &amp; Governance
 
 
 
 
 <ul>
 <li>
 Develop comprehensive AI strategy aligned with Bank's objectives and IT strategic roadmap
 </li>
 <li>
 Define governance frameworks, ethical guidelines, and risk management protocols for AI initiatives
 </li>
 <li>
 Establish AI policies on data usage, model validation, bias mitigation, and regulatory compliance
 </li>
 <li>
 Develop 3-year AI roadmap with clear milestones, KPIs, and resource requirements
 </li>
 <li>
 Manage budget allocation and resource optimization across AI Factory programs
 </li>
 <li>
 Track and report on AI program outcomes, ROI, and strategic impact to IT leadership
 </li>
 </ul>
 
 
 
 
 
 Technical Architecture &amp; Systems
 
 
 
 
 
 
 
 
 
 
 Architecture &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design and oversee enterprise AI architecture, platforms, and infrastructure aligned with IT standards
 </li>
 <li>
 Lead technical decisions on AI frameworks, tools, and technology stack
 </li>
 <li>
 Ensure scalability, performance, security, and reliability of AI systems across enterprise
 </li>
 <li>
 Establish best practices for model development, deployment, and monitoring
 </li>
 <li>
 Evaluate and integrate emerging AI technologies and methodologies
 </li>
 <li>
 Lead proof-of-concept projects and pilot programs to test new AI applications
 </li>
 </ul>
 
 
 
 
 
 Team Building &amp; Leadership
 
 
 
 
 
 
 Talent Management
 
 
 
 
 <ul>
 <li>
 Recruit and attract top AI talent across multiple technical domains
 </li>
 <li>
 Build high-performing AI Factory teams with clear career progression paths
 </li>
 <li>
 Mentor and develop technical specialists and emerging technical leaders
 </li>
 <li>
 Evaluate performance and recommend developmental needs for team members
 </li>
 <li>
 Foster culture of continuous learning, innovation, and technical excellence
 </li>
 <li>
 Maintain and promote positive work culture and employee engagement
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Management &amp; Communication
 
 
 
 
 Internal Interactions
 
 
 <ul>
 <li>
 Serve as primary technical advisor to IT General Manager and steering committee on AI matters
 </li>
 <li>
 Build relationships with business unit leaders to identify high-impact AI use cases
 </li>
 <li>
 Communicate complex technical concepts to non-technical audiences across the Bank
 </li>
 <li>
 Champion AI adoption and drive organizational change management initiatives
 </li>
 <li>
 Participate in cross-functional committees and IT steering groups
 </li>
 </ul>
 
 
 
 
 
 
 
 
 External Representation
 
 
 <ul>
 <li>
 Maintain collaboration with AI vendors, technology partners, and system integrators
 </li>
 <li>
 Build partnerships with academic institutions and AI thought leaders
 </li>
 <li>
 Represent the Bank at industry conferences, AI forums, and technology events
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Job Specifications
 
 
 
 
 
 E
 
 ducational Qualification(s)
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent in a related field
 </li>
 </ul>
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Minimum 10 years of experience required in AI or related field.
 </li>
 </ul>
 
 
 
 Language(s) known
 
 
 
 <ul>
 <li>
 English (Proficient)
 </li>
 <li>
 Arabic (Proficient)
 </li>
 </ul>
 
 
</div>

Principal Technical Expert - AI Factory

<div>About the Role 
The GenAI/RAG Senior Engineer is a hands-on technical specialist responsible for building production-grade Generative AI solutions including Retrieval-Augmented Generation (RAG) systems, prompt engineering, agent workflows, and LLM orchestration. This role works on high-priority use cases requiring advanced GenAI capabilities, establishes engineering best practices for the team, and provides technical mentorship to junior engineers. The Senior Engineer partners with the AI Architect on solution design, implements RAG pipelines and agent systems, conducts model evaluation and optimization, and ensures solutions meet production quality, performance, and cost requirements. This role requires deep technical expertise in modern GenAI technologies and the ability to translate business requirements into working technical solutions.
Key Accountabilities<ul><li> 
Build production-grade GenAI solutions including RAG pipelines, prompt engineering, agent workflows, and LLM orchestration</li><li>
Implement vector databases, embedding models, retrieval systems, and context management for RAG architectures</li><li>
Develop and optimize prompts, chains, and agent workflows for business use cases</li><li>
Conduct model evaluation, testing, and optimization for quality, latency, cost, and safety</li><li>
Establish GenAI engineering best practices including code standards, testing frameworks, and deployment patterns</li><li>
Integrate GenAI solutions with enterprise systems, APIs, and data sources</li><li>
Implement monitoring, logging, and observability for production GenAI systems</li><li>
Provide technical mentorship and code reviews for junior AI engineers</li><li>
Partner with Data Engineer on data pipelines and feature stores for GenAI use cases</li><li>
Capture and document reusable patterns, accelerators, and lessons learned</li></ul>
KPIs can include but are not limited to:
 Solution delivery: number of GenAI use cases successfully deployed to production.<ul><li><ul><li>Quality metrics: accuracy, relevance, and safety of GenAI outputs meeting business requirements</li></ul></li></ul><ul><li><ul><li> Performance optimization: latency and cost efficiency of deployed GenAI solutions</li></ul></li><li><ul><li> Code quality: peer review ratings and technical debt metrics</li></ul></li></ul>
What We Need From You 
Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field.
Experience: 8+ years software engineering experience with 3+ years focused on AI/ML and 1+ years on GenAI/LLMs. Hands-on experience building production RAG systems, prompt engineering, and LLM orchestration. Experience with modern GenAI platforms (OpenAI, Anthropic, Google, Azure OpenAI) and frameworks (LangChain, LlamaIndex).
Knowledge: Deep expertise in GenAI technologies including LLMs, embeddings, vector databases, RAG architectures, and agent frameworks. Strong Python programming skills. Experience with cloud platforms (AWS/Azure/GCP) and MLOps practices. Understanding of NLP, semantic search, and information retrieval.</div>

GenAI/RAG Senior Engineer

NODA AI

<div>Location: Kuwait (CENTCOM AOR) (Home office: Austin, TX) 
Travel: Mission-dependent, up to ~75% (OCONUS rotations) 
Clearance Requirement: Active Secret required<h2 class="jobSectionHeader">
About NODA</h2>
NODA is a veteran-owned Series A defense technology company building the orchestration layer for autonomous unmanned systems. Our platform &mdash; URZA &mdash; coordinates fleets of heterogeneous vehicles across air, sea, and land for defense and intelligence customers. We expect every hire to be mission-driven with strong agency.<div> 
</div><h2 class="jobSectionHeader">
The Role</h2>
We are seeking a senior full-stack engineer to lead URZA deployment and customer-facing technical delivery across active customer programs. This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6) depending on demonstrated depth &mdash; see leveling below.
You will own URZA deployments end-to-end at customer sites &mdash; primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing &mdash; runbooks, deployment guides, ConOps documents, after-action reports.<div> 
</div><h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Lead URZA deployments end-to-end at customer sites in DoW and military operating environments.</li><li>
Configure URZA for each customer's mission and ConOps.</li><li>
Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds).</li><li>
Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination.</li><li>
Build reusable engagement scaffolding (runbooks, ConOps templates, integration playbooks); mentor mid-level Solution Engineers.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work.</li><li>
Strong proficiency in Python, C++, or Rust; advanced Linux fluency.</li><li>
Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers.</li><li>
Demonstrated deployment experience in DoW, military, or comparable operational environments.</li><li>
U.S. citizenship; able to obtain a security clearance.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV).</li><li>
Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS).</li><li>
Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence).</li><li>
Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure.</li><li>
Active security clearance.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Leveling &mdash; Senior SE (L5) vs. Solution Architect (L6)</h2>
Senior Solution Engineer (L5): Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.
Solution Architect (L6): Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and ConOps templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.<div> 
</div><h2 class="jobSectionHeader">
Skills &amp; Attributes</h2><ul><li>
Systems thinker across compute, network, vehicle behavior, and ConOps.</li><li>
Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock.</li><li>
Documentation-disciplined.</li><li>
Customer-credible; holds technical authority without overstating or underselling.</li><li>
Self-directed; thrives in ambiguity.</li></ul><div> 
</div><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Hybrid work environment</li><li>
Competitive base + equity</li><li>
Flexible time off and generous PTO</li><li>
Federal holidays</li><li>
401(k)</li><li>
Comprehensive health, dental, and vision benefits</li><li>
Free One Medical membership</li></ul><div> 
</div><h2 class="jobSectionHeader">
Growth Path at NODA</h2>
Senior Solution Engineer Solution Architect Principal Solution Architect. Lateral: Engineering Manager (Solutions Engineering), Product Manager, Mission Lead.<div></div> 
We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.</div>

Forward-Deployed Solution Engineer - International (CENTCOM AOR)

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