electrical engineer

planning engineer

architectural engineer

civil engineer

contracts engineer

ai engineer

COGNNA

<div><p>As a Senior AI Engineer, you will be the primary architect of Cognna&rsquo;s autonomous agent reasoning engine and the high-scale inference infrastructure that powers it. You are responsible for building production-grade reasoning systems that proactively plan, use tools, and collaborate. You will own the full lifecycle of our specialized security models, from domain-specific fine-tuning to architecting distributed, high-throughput inference services that serve as Security-core intelligence in our platform.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><p><b>
1. Agentic Architecture &amp; Multi-Agent Coordination</b></p><ul>
<li>
Autonomous Orchestration: Design stateful, multi-agent systems using frameworks like Google ADK.</li>
<li>Protocol-First Integration: Architect and scale MCP servers and A2A interfaces, ensuring a decoupled and extensible agent ecosystem.</li>
<li>Cognitive Optimization: Develop lean, high-reasoning microservices for deep reasoning, optimizing context token usage to maintain high planning accuracy with minimal latency.</li>
</ul><p><b>
2. Model Adaptation &amp; Performance Engineering</b></p><ul>
<li>
Specialized Fine-Tuning: Lead the architectural strategy for fine-tuning open-source and proprietary models on massive cybersecurity-specific telemetry.</li>
<li>Advanced Training Regimes: Implement Quantization-Aware Training (QAT) and manage Adapter-based architectures to enable the dynamic loading of task-specific specialists without the overhead of full-model swaps.</li>
<li>Evaluation Frameworks: Engineer rigorous, automated evaluation harnesses (including Human annotations and AI-judge patterns) to measure agent groundedness and resilience against the Security Engineer&rsquo;s adversarial attack trees.</li>
</ul><p><b>
3. Production Inference &amp; MLOps at Scale</b></p><ul>
<li>
Distributed Inference Systems: Architect and maintain high-concurrency inference services using engines like vLLM, TGI, or TensorRT-LLM.</li>
<li>Infrastructure Orchestration: Own the GPU/TPU resource management strategy.</li>
<li>Observability &amp; Debugging: Implement deep-trace observability for non-deterministic agentic workflows, providing the visibility needed to debug complex multi-step reasoning failures in production.</li>
</ul><p><b>
4. Advanced RAG &amp; Semantic Intelligence</b></p><ul>
<li>
Hybrid Retrieval Architectures: Design and optimize RAG pipelines involving graph-like data structures, agent-based knowledge retrieval and semantic searches.</li>
<li>Memory Management: Architect episodic and persistent memory systems for agents, allowing for long-running security investigations that persist context across sessions.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
<b>Experience &amp; Education:</b> 5-7+ years in AI/ML Engineering or Backend Systems. Must have contributed to large-scale AI/ML inference service in production. M.S. or B.S. in Computer Science/AI is preferred.</li>
<li><b>Inference Orchestration: </b>KV-cache management, quantization formats like AWQ/FP8, and distributed serving across multi-node GPU clusters).</li>
<li><b>Agentic Development: </b>Expert in building autonomous systems using Google ADK/Langgraph/Langchain and experienced with AI Observervability frameworks like LangSmith or Langfuse. Hands-on experience building AI applications with MCP and A2A protocols.</li>
<li><b>Cloud AI Native: </b>Proficiency in Google Cloud (Vertex AI), including custom training pipelines, high-performance prediction endpoints, and the broader MLOps suite.</li>
<li><b>Programming: </b>Python and experience with high-performance backends (Go/C++) for inference optimization. You are comfortable working in a Kubernetes-native environment.</li>
<li><b>CI/CD: </b>You are comfortable working in a Kubernetes-native environment.</li>
</ul><p><b>
Benefits</b></p><p>
 <b>Competitive Package</b> &ndash; Salary + equity options + performance incentives<br>
 <b>Flexible &amp; Remote</b> &ndash; Work from anywhere with an outcomes-first culture<br>
 <b>Team of Experts</b> &ndash; Work with designers, engineers, and security pros solving real-world problems<br>
 <b>Growth-Focused</b> &ndash; Your ideas ship, your voice counts, your growth matters<br>
 <b>Global Impact</b> &ndash; Build products that protect critical systems and data</p></div>

Senior AI Engineer (Agentic Systems & Inference) - Onsite

MASTER-WORKS

<div><p>We are seeking a talented and motivated AI Engineer with expertise in Large Language Models
</p><p>(LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies.
</p><p>As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions
</p><p>that enhance our products and services through intelligent automation, language
</p><p>understanding, and seamless communication systems.
</p><p>Key Responsibilities
</p><p>LLM Development &amp; Integration
 </p><p>Fine-tune and deploy Large Language Models for chatbots, content generation, and
</p><p>virtual assistants.
 </p><p>Evaluate and optimize model performance in real-world use cases.
 </p><p>Integrate LLMs into production environments ensuring scalability and reliability.
</p><p>NLP System Design
 </p><p>Design and implement NLP algorithms for text classification, sentiment analysis, entity
</p><p>recognition, and summarization.
 </p><p>Handle large text datasets for model training and validation.
 </p><p>Collaborate with cross-functional teams to address language-related challenges.
</p><p>Speech-to-Text Implementation
</p><p>Develop and optimize speech-to-text (ASR) pipelines for multiple languages and
</p><p>dialects.
 </p><p>Integrate speech recognition systems with NLP and LLM modules for end-to-end
</p><p>conversational experiences.
 </p><p>Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.
</p><p>Performance Optimization
</p><p>Improve AI model efficiency for real-time performance and scalability.
 </p><p>Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
</p><p>Research &amp; Innovation
</p><p>Stay current with cutting-edge research in LLMs, NLP, and Speech AI.
 </p><p>Experiment with new architectures and techniques to drive innovation.
</p><p>Documentation &amp; Collaboration
 </p><p>Maintain detailed documentation of models, datasets, and workflows.
 </p><p>Collaborate with product managers, software engineers, and other stakeholders to
</p><p>deliver production-grade AI solutions.
</p><p><b>Requirements</b></p><p>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science,
</p><p>or related fields.
 </p><p>Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar
</p><p>frameworks).
 </p><p>Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).
 </p><p>Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API,
</p><p>DeepSpeech).
 </p><p>Proficiency in Python and frameworks like TensorFlow or PyTorch.
 </p><p>Excellent analytical, problem-solving, and communication skills.</p></div>

Technical Lead

Master Works

<div>
 We are seeking a talented and motivated AI Engineer with expertise in Large Language Models
 <br/>
 <br/>
 (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies.
 <br/>
 <br/>
 As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions
 <br/>
 <br/>
 that enhance our products and services through intelligent automation, language
 <br/>
 <br/>
 understanding, and seamless communication systems.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 LLM Development &amp; Integration
 <br/>
 <br/>
 Fine-tune and deploy Large Language Models for chatbots, content generation, and
 <br/>
 <br/>
 virtual assistants.
 <br/>
 <br/>
 Evaluate and optimize model performance in real-world use cases.
 <br/>
 <br/>
 Integrate LLMs into production environments ensuring scalability and reliability.
 <br/>
 <br/>
 NLP System Design
 <br/>
 <br/>
 Design and implement NLP algorithms for text classification, sentiment analysis, entity
 <br/>
 <br/>
 recognition, and summarization.
 <br/>
 <br/>
 Handle large text datasets for model training and validation.
 <br/>
 <br/>
 Collaborate with cross-functional teams to address language-related challenges.
 <br/>
 <br/>
 Speech-to-Text Implementation
 <br/>
 <br/>
 Develop and optimize speech-to-text (ASR) pipelines for multiple languages and
 <br/>
 <br/>
 dialects.
 <br/>
 <br/>
 Integrate speech recognition systems with NLP and LLM modules for end-to-end
 <br/>
 <br/>
 conversational experiences.
 <br/>
 <br/>
 Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.
 <br/>
 <br/>
 Performance Optimization
 <br/>
 <br/>
 Improve AI model efficiency for real-time performance and scalability.
 <br/>
 <br/>
 Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
 <br/>
 <br/>
 Research &amp; Innovation
 <br/>
 <br/>
 Stay current with cutting-edge research in LLMs, NLP, and Speech AI.
 <br/>
 <br/>
 Experiment with new architectures and techniques to drive innovation.
 <br/>
 <br/>
 Documentation &amp; Collaboration
 <br/>
 <br/>
 Maintain detailed documentation of models, datasets, and workflows.
 <br/>
 <br/>
 Collaborate with product managers, software engineers, and other stakeholders to
 <br/>
 <br/>
 deliver production-grade AI solutions.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science,
 <br/>
 <br/>
 or related fields.
 <br/>
 <br/>
 Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar
 <br/>
 <br/>
 frameworks).
 <br/>
 <br/>
 Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).
 <br/>
 <br/>
 Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API,
 <br/>
 <br/>
 DeepSpeech).
 <br/>
 <br/>
 Proficiency in Python and frameworks like TensorFlow or PyTorch.
 <br/>
 <br/>
 Excellent analytical, problem-solving, and communication skills.
</div>


Rewaa

<div>
 <p>
  <span>
   Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As a
  </span>
  <strong>
   Software Engineer (AI-Focused)
   <span>
    at Rewaa, you will work end-to-end across the stack to build and scale
   </span>
   <strong>
    AI-powered products and internal platforms
    <span>
     . You&rsquo;ll collaborate closely with our
    </span>
    <strong>
     AI team
     <span>
      , senior engineering leaders, and product leadership to turn AI concepts, PoCs, and prototypes into
     </span>
     <strong>
      production-ready solutions
      <span>
       . This role has
      </span>
      <strong>
       high visibility
       <span>
        across the organization, including regular interaction with the
       </span>
       <strong>
        executive leadership team and the CEO
        <span>
         . You&rsquo;ll help shape how AI is embedded into Rewaa&rsquo;s products and internal operations. This is not a research role&mdash;this is a
        </span>
        <strong>
         hands-on engineering role
         <span>
          focused on shipping real AI-powered software.
         </span>
         <p>
          <p>
           <br/>
          </p>
          <strong>
           Responsibilities :
          </strong>
          <ul>
           <li>
            <strong>
             Software &amp; AI Product Development
            </strong>
           </li>
           <li>
            Design and implement features across the full application stack (frontend, backend, databases, infrastructure)
           </li>
           <li>
            Build and integrate
            <strong>
             AI-powered features
            </strong>
            such as automation workflows, intelligent assistants, data-driven insights, and internal tools
           </li>
           <li>
            Collaborate with the AI team to productionize AI models, agents, and workflows
            <br/>
            <br/>
           </li>
          </ul>
          <ul>
           <li>
            <strong>
             System Design &amp; Architecture
            </strong>
           </li>
           <li>
            Contribute to architecture discussions with a focus on scalability, reliability, security, and performance
           </li>
           <li>
            Help design systems that support AI workloads, experimentation, and iteration
            <br/>
            <br/>
           </li>
          </ul>
          <ul>
           <li>
            <strong>
             Cloud &amp; Infrastructure
            </strong>
           </li>
           <li>
            Work with AWS services (e.g., Lambda, API Gateway, ECS, S3, DynamoDB, RDS, etc.)
           </li>
           <li>
            Support modern architectures including serverless and containerized services
            <br/>
            <br/>
           </li>
          </ul>
          <ul>
           <li>
            <strong>
             Quality &amp; Performance
            </strong>
           </li>
           <li>
            Write clean, maintainable, and well-documented code
           </li>
           <li>
            Optimize system performance and reliability
           </li>
           <li>
            Identify and mitigate security risks
           </li>
           <li>
            Collaborate with QA to ensure high-quality releases through unit, integration, and end-to-end testing
            <br/>
            <br/>
           </li>
          </ul>
          <ul>
           <li>
            <strong>
             Collaboration &amp; Leadership
            </strong>
           </li>
           <li>
            Work closely with Product, Design, Data, and AI teams
           </li>
           <li>
            Participate in technical discussions with senior leadership
           </li>
           <li>
            Mentor junior engineers and contribute to code reviews and engineering best practices
           </li>
           <li>
            Help bridge the gap between experimentation (PoCs) and production-ready systems
            <br/>
           </li>
          </ul>
          <p>
           <br/>
          </p>
          <strong>
           Required Qualifications
          </strong>
          <ul>
           <li>
            Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field
           </li>
           <li>
            <strong>
             3+ years (Engineer II) / 5+ years (Senior)
            </strong>
            of professional software development experience
           </li>
           <li>
            Experience working across backend systems and APIs
           </li>
           <li>
            Proficiency in at least one modern programming language (e.g., Node.js / NestJS, Java, Golang)
           </li>
           <li>
            Experience with modern frontend frameworks (Angular preferred)
           </li>
           <li>
            Solid understanding of system design, data modeling, and APIs
           </li>
           <li>
            Strong problem-solving and analytical skills
           </li>
           <li>
            Excellent communication skills and ability to work with cross-functional teams
            <br/>
           </li>
          </ul>
          <p>
           <br/>
          </p>
          <strong>
           AI &amp; Modern Engineering Mindset
          </strong>
          <ul>
           <li>
            Experience working on or alongside
            <strong>
             AI-powered systems
            </strong>
            , automation, or data-driven features
           </li>
           <li>
            Comfort collaborating with AI engineers and translating AI concepts into software systems
           </li>
           <li>
            Curiosity and willingness to learn AI tools, platforms, and architectures (e.g., agents, workflows, RAG, model integrations)
            <br/>
           </li>
          </ul>
          <p>
           <br/>
          </p>
          <strong>
           Nice to Have
          </strong>
          <ul>
           <li>
            Experience building SaaS products or retail-tech solutions
           </li>
           <li>
            Exposure to AI frameworks, automation tools, or agent-based systems
           </li>
           <li>
            Experience taking prototypes or PoCs into production
           </li>
           <li>
            Familiarity with cloud cost optimization, observability, and monitoring
            <br/>
           </li>
          </ul>
         </p>
         <p>
          <br/>
         </p>
         <br/>
         <p>
          <strong>
           Alert for Candidates
           <p>
            <br/>
           </p>
           <p>
            <span>
             Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
            </span>
           </p>
           <p>
            <br/>
           </p>
           <p>
            &nbsp;
            <strong>
             تنبية للمتقدمين
             <p>
              <span>
               تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
              </span>
             </p>
             <p>
              <br/>
             </p>
             <p>
              <strong>
               Notice to External Recruiters and Staffing Agencies
               <p>
                <br/>
               </p>
               <p>
                <span>
                 Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
                </span>
               </p>
               <p>
                <br/>
               </p>
               <p>
                &nbsp;
                <strong>
                 إشعار للمستقطبين الخارجيين ووكالات التوظيف
                 <p>
                  <span>
                   تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
                  </span>
                 </p>
                 <p>
                  <br/>
                 </p>
                 <p>
                  <br/>
                 </p>
                 <br/>
                 <p>
                  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
                 </p>
                </strong>
               </p>
              </strong>
             </p>
            </strong>
           </p>
          </strong>
         </p>
        </strong>
       </strong>
      </strong>
     </strong>
    </strong>
   </strong>
  </strong>
 </p>
</div>


Software Engineer (AI-Focused)

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>12/30/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>Key Responsibilities:</b></p><ul><li><p><br>
Design, develop, and deploy <b>AI and machine learning models</b> to support smart city and enterprise use cases.</p></li><li><p><br>
Perform <b>predictive analytics</b> to forecast trends, optimize operations, and support data-driven decision-making.</p></li><li><p><br>
Design and manage <b>city-wide performance dashboards</b> using <b>Power BI, Tableau, or similar BI tools</b>.</p></li><li><p><br>
Integrate data from multiple sources to create unified analytics and reporting platforms.</p></li><li><p><br>
Ensure data quality, governance, and compliance with data protection standards.</p></li><li><p><br>
Collaborate with smart systems, IT, and business stakeholders to translate requirements into analytical solutions.</p></li><li><p><br>
Monitor model performance, continuously improve accuracy, and maintain documentation.</p></li><li><p><br>
Support advanced reporting, visualization, and insights generation for leadership and control centers.</p></li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><p></p><div><b>
Qualification:</b><br>
</div><div>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or a related field.</div><p></p><div><b><br>
Experience:</b><br>
</div><div>
Minimum <b>5+ years</b> of experience in <b>AI, data science, and advanced analytics</b>.</div><p></p><p><b><br>
Required Skills &amp; Competencies:</b></p><ul><li><p><br>
Strong expertise in <b>AI/ML modeling and predictive analytics</b></p></li><li><p><br>
Proficiency in <b>Power BI, Tableau</b>, or equivalent visualization tools</p></li><li><p><br>
Experience with data pipelines, data integration, and large datasets</p></li><li><p><br>
Knowledge of statistical analysis, data modeling, and performance KPIs</p></li><li><p><br>
Strong problem-solving, communication, and stakeholder management skills</p></li></ul><p><b><br>
Preferred Certifications (Optional):</b></p><ul><li><p><br>
Microsoft Power BI Data Analyst</p></li><li><p><br>
Data Science or Machine Learning certifications</p></li><li><p><br>
Cloud-based AI certifications (AWS, Azure)</p></li></ul></div></div></div><p></p>

AI & Data Science Expert

Microsoft

<div><b>Overview</b><p><br>
Microsoft Innovation Hub empowers customers to overcome their business challenges through innovative engagements that integrate multiple areas of expertise. We drive AI transformation by leveraging evolving needs and emerging business opportunities. As the future of technologists and enterprise technical sellers, we guide customers from envisioning solutions to implementation. We deliver the Microsoft value story through immersive experiences, strengthening customer trust through deep engagements in exceptional environments.</p><p>
As a Solution Engineer in the Microsoft Innovation Hub, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.</p><p>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><b><br>
Responsibilities</b><div><ul><li><p><br>
Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices.</p></li></ul></div><div><ul><li><p>
AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. You will be a valued contributor to Microsoft&rsquo;s strategy in your area, ensuring the Hub is proactively aligned with the right customers to drive real impact.</p></li></ul></div><div><ul><li><p>
Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.</p></li></ul></div><div><ul><li><p>
Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs.</p></li></ul></div><div><ul><li><p>
Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation.</p></li></ul></div><div><ul><li><p>
Technical Depth: Maintain and grow expertise in AI solutions that will include services like AI Foundry or Fabric Data platform. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Stay updated with the market trends and collaborate within technical communities.</p></li></ul></div><div><ul><li><p>
Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings. Lead the creation of scalable, field-relevant assets through internal communities. Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams.</p></li></ul></div><b><br>
Qualifications</b><p><br>
Required (RQs):</p><div><ul><li><p>
Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR 7+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR equivalent experience.</p></li></ul></div><div><p>
Preferred Qualifications (PQs):</p><div><div><ul><li><p>
Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures.</p></li></ul></div><div><ul><li><p>
Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers. Ability to navigate complex technical landscapes and deliver tailored solutions that meet specific customer needs.</p></li></ul></div><div><ul><li><p>
Strategic &amp; Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes.</p></li></ul></div><div><ul><li><p>
AI Solution Design Experience: Expertise in designing architectures, building, and deploying AI solutions. Experience with cloud and hybrid infrastructures, networking, adjacent technologies, architecture designs, migrations, and industry standards. Understanding of AI related Azure services.</p></li><li>
Design Thinking: Proven experience of delivering design thinking; &lsquo;ideation&rsquo;; or similar context analysis / problem framing.</li></ul></div><div><ul><li><p>
Certification in relevant technologies or disciplines</p></li></ul></div><div><ul><li><p>
Azure Certifications :</p></li></ul></div><div><ul><li><ul><li><p>
AI-102 Azure AI Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
AZ-305 Azure Solutions Architect Expert or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
DP-600 Fabric Analytics Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
DP-700 Fabric Data Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
AZ-204 Azure Developer Associate</p></li></ul></li></ul></div></div><div><div><ul><li><p>
or other domain-relevant certifications from different vendors</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Solution Engineering - Innovation Hub

CodeNinja

As an QA Engineer, you will be an integral part of our scrum team, ensuring that the software we deliver meets the highest standards of quality. You will work closely with developers, product managers, and other stakeholders to understand requirements, design test strategies, and automate testing to expedite the delivery process. Your expertise in testing API, ETL, and web applications will play a crucial role in driving our products' success.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>4 plus years experience</li>
<li>Familiarity with fine-tuning large language models (LLMs) such as GPT.</li>
<li>Practical experience incorporating AI/ML models in real-world solutions or automation pipelines.</li>
<li>Some experience with test automation tools (e.g., Selenium, JUnit, TestNG).</li>
<li>Familiarity with CI/CD processes and tools (e.g., Jenkins, Travis CI).</li>
<li>Good understanding of API, ETL, or web application testing.</li>
<li>Exposure to data pipelines, data preprocessing, and orchestration tools (e.g., Azure Data Factory, AWS Glue, Apache Airflow).</li>
<li>Proactive in using AI tools like GitHub Copilot, ChatGPT, or custom LLM APIs in daily work.</li>
</ul>


QA Engineer (Manual, Automation, SDET) - Talent Community

Explore 412+ Ai engineer in Riyadh this January. Find roles across top companies and apply now to boost your career.

412 ai engineer jobs IN Riyadh

Senior AI Engineer (Agentic Systems & Inference) - Onsite

Technical Lead

Technical Lead

Software Engineer (AI-Focused)

AI & Data Science Expert

Solution Engineering - Innovation Hub

QA Engineer (Manual, Automation, SDET) - Talent Community