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ai architect

10Pearls

<div>Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
As an AI Architect in the oil and gas sector, you will design, implement, and oversee AI systems that enhance operational efficiency, optimize production, and drive innovation. Your role focuses on defining the architecture for AI and machine learning solutions, ensuring scalability, reliability, and alignment with business objectives.
Responsibilities<ul><li>
Define the AI strategy and architecture to address business needs across exploration, production, and operational domains.</li><li>
Develop roadmaps for integrating AI into existing systems, focusing on scalability and long-term sustainability.</li><li>
Identify and prioritize AI use cases, such as predictive maintenance, reservoir modelling, and supply chain optimization.</li><li>
Design end-to-end architectures for machine learning pipelines, including data ingestion, model development, training, and deployment.</li><li>
Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models.</li><li>
Implement AI explainability frameworks such as SHAP, LIME, and Explainable AI (XAI) to enhance transparency.</li><li>
Develop human-in-the-loop (HITL) AI systems for critical decision support in exploration and production.</li><li>
Design AI models with bias detection and fairness auditing mechanisms.</li><li>
Automate cloud-based AI model provisioning using infrastructure as code (IaC) principles.</li><li>
Select appropriate frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn) for AI development.</li><li>
Build scalable solutions using cloud platforms like AWS, Azure, or Google Cloud, leveraging tools such as Kubernetes and Docker for containerization.</li><li>
Establish data standards, pipelines, and governance policies to ensure high-quality input for AI models.</li><li>
Implement monitoring systems to track performance, retrain models as necessary, and maintain accuracy over time.</li><li>
Develop strategies to address bias, fairness, and ethical considerations in AI systems.</li><li>
Design AI solutions that integrate seamlessly with existing oil and gas technologies, such as SCADA systems, IoT sensors, and geophysical modelling tools.</li><li>
Develop AI models tailored to specific oil and gas applications, such as seismic data analysis, drilling optimisation, and production forecasting.</li><li>
Enable real-time analytics and decision support through edge computing and AI-enabled IoT systems.</li><li>
Stay current with the latest advancements in AI and recommend technologies that align with business objectives.</li><li>
Collaborate with data scientists, engineers, and business leaders to align technical solutions with operational goals.</li><li>
Guide teams in best practices for AI development, deployment, and maintenance.</li><li>
Ensure all AI systems comply with industry regulations and data privacy standards.</li><li>
Implement robust cybersecurity measures to protect sensitive data and AI systems from threats.</li><li>
Document architectures, workflows, and operational guidelines for transparency and compliance audits.</li></ul>
Requirements<ul><li>
Knowledge of deep learning, natural language processing, computer vision, and reinforcement learning techniques.</li><li>
Expertise in AWS, Azure, or Google Cloud for deploying AI solutions.</li><li>
Strong ability to work with multidisciplinary teams, including engineers, data scientists, and business stakeholders.</li><li>
Excellent ability to translate complex technical concepts into actionable business strategies.</li><li>
Design AI solutions to reduce downtime, optimise drilling accuracy, and improve production yields.</li><li>
Leverage tools such as Kubeflow, MLflow, and SageMaker Pipelines for end-to-end ML lifecycle management.</li><li>
Implement predictive analytics to prevent equipment failures and optimise resource allocation.</li><li>
Enable advanced applications like digital twins, automated geophysical analysis, and AI-driven reservoir modelling.</li><li>
Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).</li><li>
8+ years of experience in AI/ML development, with at least 3 years in an architecture or leadership role.</li><li>
Strong understanding of oil and gas industry workflows and challenges.</li><li>
Expertise in AI/ML frameworks and big data technologies.</li><li>
Practical experience with a statistical programming language (e.g., Python, R) and applied machine learning techniques for AI model development.</li></ul>
EH8cPOOutM</div>

AI Architect

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

AI Architect – GenAI, LLMs & AI Agents

noon

<div>
 
 
 About noon
 
 
 
 We&rsquo;re building an ecosystem of digital products and services that power everyday life across the Middle East&mdash;fast, scalable, and deeply customer-centric. Our mission is simple yet bold: Every door, every day.
 
 
 
 
 
 
 About the Role
 
 
 
 As an SDE-2 in the
 
 Vector
 
 squad at
 
 Everyday Labs
 
 , you will join a high-leverage engineering initiative designed to architect and deploy advanced technical solutions for the company&rsquo;s most critical challenges. Vector serves as the bridge between raw AI capability and practical engineering execution. We utilize internal foundational AI infrastructure, specifically
 
 Model Context Protocol (MCP)
 
 and
 
 LLM integration layers, to build
 
 applications and engineering tools that drive massive operational impact. Whether it&rsquo;s an AI-driven Talent Mapping Engine or a custom Application Tracking System, Vector focuses on turning cutting-edge tech into high-reliability products.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Architect High-Impact Applications:
 
 Lead the engineering effort for key products such as our AI-driven Talent Mapping Engine (Vertex AI), "NoonLaundry," and sophisticated internal App integrations using OpenAI&rsquo;s SDK.
 </li>
 <li>
 
 Operational Excellence:
 
 Build and scale engineering tools that solve internal bottlenecks, ensuring that AI-native experiences are grounded in practical, high-performance code.
 </li>
 <li>
 
 Professional Ownership:
 
 Take full ownership of service reliability, correctness, and architecture, applying SDE-2 standards to ensure systems are robust and maintainable.
 </li>
 <li>
 
 AI Implementation:
 
 Work with domain experts to refine how we evaluate LLM outputs and improve response quality over time within our production environments.
 </li>
 <li>
 
 Collaborative Engineering:
 
 Partner with internal infrastructure teams to influence the development of our Model Context Protocol (MCP) layers.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 
 Professional Depth:
 
 5+ years of impactful experience as a Software Development Engineer, specifically building and maintaining
 
 large-scale services
 
 .
 </li>
 <li>
 
 Python Expertise:
 
 Deep, professional-level experience with
 
 Python
 
 . You are expected to write clean, idiomatic, and performance-oriented code.
 </li>
 <li>
 
 Reliability Mindset:
 
 A strong focus on correctness and reliability. You have a track record of building services that handle production loads gracefully and are easy to monitor and debug.
 </li>
 <li>
 
 User-Centric Impact:
 
 A mindset that prioritizes real-world impact. You understand that the best code is the code that solves a significant problem for the user or the business.
 </li>
 <li>
 
 Technical Maturity:
 
 You bring the discipline of a seasoned engineer valuing documentation, unit testing, and architectural clarity.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 
 AI System Integration:
 
 Previous experience integrating with AI/ML ecosystems (e.g., Vertex AI, OpenAI).
 </li>
 </ul>
 
 
 
 
 
 MCP Knowledge:
 
 Familiarity with the
 
 Model Context Protocol (MCP)
 
 for connecting LLMs to external data and tools.
 
 
 
</div>

Software Development Engineer 2 "Backend"

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li><div>Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div>AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div>Protocol &amp; API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div>Prompt Engineering &amp; Logic Tuning: Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div>Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><h3 class="jobSectionHeader">Candidate Requirements</h3>
<h4 class="jobSectionHeader">Technical Skills (The &quot;Must-Haves&quot;)</h4>
<ul><li><div>Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.</div>
</li><li><div>Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.</div>
</li><li><div>Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.</div>
</li><li><div>Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader">Preferred Background</h4>
<ul><li><div>Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div>Security First: Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div>Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><h3 class="jobSectionHeader">The OneBullEx &quot;Edge&quot;</h3>
<ul><li><div>AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div>Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.</div>
</li><li><div>Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

AI Engineer

<div>OneBullEx is transitioning into an AI-driven exchange. / OneBullEx 正在转型为一家 AI 驱动的交易所。

As a Staff Data Architect, you are the master designer of the nervous system that feeds our AI. / 作为资深数据架构师，你是构建 AI 底层神经系统的核心总设计师。

You won't just manage databases; you will architect the autonomous data structures required for AI agents to reason, execute, and manage complex financial workflows. / 你不仅仅是管理数据库，更要构建自动化数据结构，以支持 AI 智能体进行推理、执行并管理复杂的金融工作流。

Your mission is to bridge the gap between raw Crypto market behaviors and the &quot;Single Source of Truth&quot; that powers our autonomous trading ecosystem. / 你的使命是消除原始加密市场行为与支撑自动化交易生态的&quot;唯一事实来源&quot;之间的鸿沟。

<h3 class="jobSectionHeader">Core Responsibilities / 核心职责</h3>
<h4 class="jobSectionHeader">1. Instrumentation &amp; Tracking / 全链路采集与埋点</h4>
<ul>
<li>Protocol Design: Define unified tracking standards across App/Web/H5. 
协议设计： 统一 App/Web/H5 全平台的埋点标准。
</li>
<li>Design high-dimensional protocols for unique Crypto interactions (e.g., K-line scaling, leverage slider adjustments).
 
针对加密货币特有的交互（如 K 线缩放、杠杆滑块调节）设计高维度协议。
</li>
<li>Full-Link Attribution: Ensure a seamless data path from external acquisition (KOLs, Ads) through KYC to first trade conversion. 
全链路归因： 确保从外部获客（KOL、广告）到 KYC 再到首次交易转化的数据链路无断点。
</li>
<li>Quality Control: Establish automated validation to eliminate &quot;missing or inconsistent&quot; data, ensuring absolute raw data purity for AI training. 
质量管控： 建立自动化校验机制以消除&quot;漏报或口径不一&quot;的数据，确保 AI 训练原始数据的绝对纯净。
</li>
</ul><h4 class="jobSectionHeader">2. All-Domain Logical Modeling / 全链路逻辑建模</h4>
<ul>
<li>Trading &amp; Assets: Unify Spot and Futures logic. 
交易与资产： 统一现货与合约的业务逻辑。
</li>
<li>Design multi-currency and sub-account reconciliation models. / 设计多币种及子母账户的对账模型。
</li>
<li>Growth &amp; ROI: Build refined models linking frontend behavior with backend flows for end-to-end ROI analysis. 
增长与 ROI： 构建精细化模型，联通前端行为与后端流水以实现端到端 ROI 分析。
</li>
<li>Risk &amp; Compliance: Design logical layers for real-time exposure monitoring and bot/wash-trading detection. 
风控与合规： 设计实时敞口监控及机器人刷量行为检测的逻辑层。
</li>
</ul><h4 class="jobSectionHeader">3. Governance &amp; Single Source of Truth / 统一指标与治理</h4>
<ul>
<li>Metric Store: Lead the company-wide Metric Store to ensure DAU, AUM, and Volume are consistent across all AI agents and dashboards. 
指标中心： 主导公司级指标库建设，确保 DAU、AUM 和交易额在所有 AI 智能体和看板中口径一致。
</li>
<li>Data Lineage: Build systems to track data origin, ensuring any schema changes are instantly evaluated for downstream impact. 
数据血缘： 构建追踪数据来源的系统，确保任何表结构变更都能即时评估对下游的影响。
</li>
</ul><h4 class="jobSectionHeader">4. AI-Driven Automation / AI 驱动自动化</h4>
<ul>
<li>Code-as-Model: Use AI to accelerate SQL writing and tracking-code generation. 
代码即模型： 利用 AI 加速 SQL 编写和埋点代码生成。
</li>
<li>Autonomous Governance: Implement &quot;AI to govern AI data&quot; frameworks to maintain model documentation in real-time. 
自主治理： 实施&quot;以 AI 治理 AI 数据&quot;的框架，实时维护模型文档。
</li>
</ul><h3 class="jobSectionHeader">Candidate Requirements / 任职要求</h3>
<ul>
<li>Crypto Expertise (Mandatory): 3+ years in CEX/DEX environments. 
行业经验（硬性）： 3 年以上 CEX/DEX 环境经验。
</li>
<li>You must understand trading engine logs and on-chain data.
 
你必须深入理解交易引擎日志和链上数据。
</li>
<li>Master Modeler: 5+ years of Kimball dimensional modeling. 
建模专家： 5 年以上 Kimball 维度建模经验。
</li>
<li>Expert in handling billion-row snapshot tables and cold/hot data separation.
 
精通处理亿级快照表及冷热数据分离。
</li>
<li>Tracking Veteran: Expert-level experience with Sensors Data, Amplitude, or Mixpanel. 
埋点老兵： 具备神策数据、Amplitude 或 Mixpanel 的专家级经验。
</li>
<li>AI Native: Proficiency in AI coding tools and a forward-thinking mindset on how LLMs interact with structured data. 
AI 原生： 熟练使用 AI 编码工具，并对大模型如何与结构化数据交互具有前瞻性思维。
</li>
<li>Resilience: Ability to maintain data integrity during extreme market volatility. 
抗压能力： 能够在市场剧烈波动期间保持数据的完整性与准确性。</li></ul></div>

Staff Data Architect / 资深数据架构师

Hamad Medical Corporation

<div>
 
 
 Job Summary
 
 
 
 The purpose of this role is to support the executive leadership of HICT to lead the hospital's digital transformation strategy and implementation roadmap anchored in cloud-first platforms and AI-enabled care and operations through rigorous business case development, vendor/tender evaluation, and executive stakeholder management to implement the strategic plan. The role also shapes the AI/automation and use-case roadmap and cloud migration paths; aligns initiatives to enterprise/business architecture, data/information governance; and drives change management and benefits realization across assigned hospital and corporate departments. The role includes providing technical expertise to HICT leadership to architect and implement the hospital's cloud infrastructure and AI technology platforms that enable digital transformation through robust platform engineering, infrastructure automation, and technical solution delivery. The role designs and builds enterprise cloud foundations and AI/ML infrastructure; establishes technical standards for platform architecture, security frameworks, and operational excellence; and ensures scalable, reliable, and compliant technology platforms across hospital and corporate systems
 
 
 
 Key Accountabilities
 
 
 <ul>
 <li>
 Lead business case development and financial analysis for digital, cloud and AI/automation initiatives including cost[1]benefit analysis, ROI/payback periods, Total Cost of Ownership (TCO), and sensitivity analyses to secure sound, value[1]driven investment decisions aligned with clinical and operational priorities.
 </li>
 <li>
 Shapes portfolio demand and prioritizes modern digital use cases (e.g., clinical decision support, predictive analytics, AI/ML diagnostic tools, automation, digital front door) by clarifying problem statements, outcomes and OKRs; conducting option analyses and applying prioritization criteria to enable timely governance approvals.
 </li>
 <li>
 Support on providing tender and vendor evaluation for various digital solutions including cloud services (SaaS/PaaS) and AI/ML platforms including RFP/RFI development, evaluation criteria/scoring, demos/POCs, capability and reference checks; negotiates terms/SLAs/pricing including data residency, security and model governance clauses to ensure compliance and value-for-money.
 </li>
 <li>
 Develop and design high level executive presentations, dashboards and board papers showcasing transformation progress, KPIs and value realization metrics; translates complex technical concepts into compelling business narratives to support effective decision-making by C-suite executives and governance committees.
 </li>
 <li>
 Serve as strategic partner to the HICT Executive Leadership by co-developing cloud and AI strategies and budgets; provides subject matter expertise on digital transformation; deputizes in executive forums as required to maintain strategic alignment and sponsorship.
 </li>
 <li>
 .Oversee implementation tracking and benefits realization through structured plans, post-implementation reviews and variance management. Establishes measurement frameworks including MLOps for AI model performance monitoring, drift detection, bias assessment and explainability to confirm delivery against approved business cases.
 </li>
 <li>
 Conduct comprehensive market analysis and competitive intelligence on hyperscalers/cloud roadmaps, AI/GenAI trends in healthcare, peer hospital benchmarking and strategic partnership opportunities to inform digital strategy, technology selection and innovation roadmaps.
 </li>
 <li>
 Ensure governance and compliance alignment with enterprise/business architecture standards, National Information Assurance, Qatar Privacy Laws, AI &amp; data ethics policies, model risk management, privacy/security frameworks and procurement policies. Maintains comprehensive audit trails for cloud risk management (data residency, vendor exit strategies, resilience) to meet internal and regulatory requirements.
 </li>
 <li>
 Drives adoption through change management strategies, ensuring sponsorship and measurable clinical and operational outcomes.
 </li>
 </ul>
 
 
 Job Location
 
 
 
 Doha, Qatar
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s Degree in computer science OR Computer Engineering OR related field
 
 
 
 Experience
 
 
 
 10 years of experience in IT consulting, digital transformation, or healthcare technology out of which 4 years in healthcare sector implementation AI projects
 
</div>

Director-Digital Transformation

L3Harris

<div>L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers&rsquo; mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris is the Trusted Disruptor in defense tech. With customers&rsquo; mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Job Title: Scientist, C4ISR Systems Solutions Architect (Expat)
Job Code: 33453
Location: Abu Dhabi, UAE (Expat Position 3 Years)
Job Description:
L3Harris Communications &amp; Spectrum Dominiance (CSD) is seeking a Scientist, C4ISR Systems Solutions Architect for our Abu Dhabi, UAE location. This is a senior role requiring the overall design of C4ISR systems, including the overall network and associated data links, Battle management System (BMS), and the processing, fusion, and dissemination of data from multiple ISR platforms. A key part of this role focuses on the modernization and development of new C4ISR systems to support joint operations. This includes designing the overall network-centric communications architecture, recommending data models for managing ISR data, the associated standards, the data formats to utilize in these new systems, evaluation of the needed analysis tools, and designing interoperable systems that utilize open standards for data exchange. Close coordination with the end users and other engineering disciplines is required to shape and define the requirements, along with the development of proposals and working with third-party vendors/contractors as needed.
This is an opportunity to take on unique challenges, expand your skills and experience, and contribute to mission-critical systems solutions that help protect the U.S.A. and our allies. You will join a great team of talented professionals who take a collaborative approach and enjoy working together.<div>
Based in Abu Dhabi, UAE and requires business travel across the Middle East &ndash; 50% travel.</div><div> 
</div><div>This role is scoped for 3 years.</div><div> 
</div>Key responsibilities include:<ul><li>
C4ISR Architecture: Develop and design C4ISR architectures that leverage existing customer equipment while integrating cutting-edge technologies to meet specific and evolving customer needs.</li><li>
Emphasis on Utilizing AI: Integrating artificial intelligence within the C4I space to enhance system capabilities and data analysis.</li><li>
Driving Strategy for Customer Adoption: Developing and implementing strategies to drive customer adoption of new and modernized C4ISR systems.</li><li>
Cross-Sector and Cross-Segment Collaboration: Working across various sectors and segments to ensure integrated and cohesive solutions.</li><li>
Adjacent Technologies Knowledge: Possessing knowledge of adjacent technologies like electronic warfare to enhance the overall system effectiveness.</li><li>
Technical Customer Relationship Ownership: Owning and managing the technical relationship with customers to ensure their requirements are met and exceeded.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Communications Engineering, Electrical Engineering, Systems Engineering or Computer Engineering (or related science discipline). Non-engineering or non-science majors will not be considered for this role</li><li>
12 years of related experience (or 10+ years with a Master&rsquo;s degree)</li><li>
8+ years of experience in C4ISR systems design, including large-scale enterprise integrated battle management systems and tactical radio networks. Please note this role is not for operators of certain tools, radio operators, or ISR analysts. This is a solution architect position and requires the candidate to be able to design complete solutions based on customers&rsquo; needs</li><li>
Must be able to obtain and maintain a US Secret security clearance.</li></ul>
Preferred Additional Skills:<ul><li>
Strong understanding and experience with the L3Harris Falcon Radio product line, including applications for network-centric communications for command and control systems</li><li>
Strong understanding of military vehicle networks, including expertise in integrating various communication protocols (such as CAN, MIL-STD-1553, Ethernet, etc.) and a wide array of sensors (such as RADAR, LIDAR, EO/IR, SIGINT, etc.)</li><li>
Knowledge of the challenges associated with interoperability, data fusion, and real-time processing within dynamic and constrained environments</li><li>
Familiarity with modern network-enabled warfighting concepts, such as JADC2. Candidate must have an extensive working and conceptual knowledge of modern military operations, and capabilities</li><li>
Familiarity with one or more of the following L3Harris pursuits/programs: ELTS, Bahrain C4I, Morocco C4I, KSA C4I</li><li>
Design of scalable C4ISR systems that supports federation, redundancy, and interoperability at all levels</li><li>
Understanding of Joint Operations and the required tools to support the analysis of data and generation of products/reports</li><li>
Design and drive the application of AI and ML techniques to C4ISR systems
</li></ul><ul><li>Understanding of software development methodologies (e.g. Agile methodologies) and the integration/interfacing with legacy systems
</li><li>Familiarity with Enterprise Architecture standards such as TOGAF or DODAF
</li><li>Strong technical presentation and proposal writing skills</li><li>
Ability to drive cross-functional teams to deliver architecture solutions and proposals</li><li>
Develop and execute customer engagement strategies
</li><li>Ability to build trust with external customers, and internal stakeholders</li><li>
Drive ideas for internal R&amp;D projects to support future C4I differentiators</li><li>
Familiarity with L3Harris R&amp;D processes</li></ul></div>

Scientist, Systems Engineer (C4ISR Systems - ACE - Advanced Concept Engineer)

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