ai specialist

Maaden

<div>
 <strong>
  Job Purpose
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 </strong>
 <strong>
  JOB DESCRIPTION
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  <br/>
 </strong>
 <ul>
  <li>
   The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
  </li>
  <li>
   The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
  </li>
  <li>
   Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
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  </li>
 </ul>
 <strong>
  Key Accountabilities
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  <br/>
 </strong>
 <ul>
  <li>
   Lead End-to-End Data Science Delivery
  </li>
  <li>
   Developing, implementing and maintaining databases and data collection systems
  </li>
  <li>
   Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
  </li>
  <li>
   Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
  </li>
  <li>
   Performing statistical analysis to understand and interpret data insights
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   Applying data mining techniques to identify patterns, trends, and relationships in large datasets
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   Building predictive models and machine learning algorithms to forecast future outcomes
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   Creating clear data visualizations and reports to communicate findings to stakeholders
  </li>
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   Working with cross-functional teams to understand business needs and provide data-driven solutions
  </li>
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   Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
  </li>
  <li>
   Ensuring data security and compliance with relevant regulations
  </li>
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   Drive experimentation, model versioning, automated retraining, and continuous improvement.
  </li>
  <li>
   Translate Business Needs into AI/Analytics Solutions
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   Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
  </li>
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   Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
  </li>
  <li>
   Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
  </li>
  <li>
   Industrialize AI/ML Models (ML Ops &amp; Architecture)
  </li>
  <li>
   Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
  </li>
  <li>
   Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
  </li>
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   Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
  </li>
  <li>
   Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
  </li>
  <li>
   Responsible AI, Quality &amp; Governance
  </li>
  <li>
   Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
  </li>
  <li>
   Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
  </li>
  <li>
   Ensure transparency, explainability, and continuous model governance across production and enterprise environments
  </li>
  <li>
   Stakeholder Management &amp; Value Realization
  </li>
  <li>
   Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
  </li>
  <li>
   Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
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   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
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 </strong>
 <strong>
  Minimum Qualification, Experience and Core Competencies:
  <br/>
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 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
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  </li>
 </ul>
 <strong>
  Minimum Experience
  <br/>
  <br/>
 </strong>
 Good to Have Capabilities
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 <br/>
 <ul>
  <li>
   Minimum Experience:
  </li>
  <li>
   6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
  </li>
  <li>
   Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
  </li>
  <li>
   Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
  </li>
  <li>
   Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
  </li>
  <li>
   Machine Learning &amp; Advanced Analytics
  </li>
  <ul>
   <li>
    Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
   </li>
   <li>
    Strong understanding of model performance, validation, stability, and business impact
   </li>
  </ul>
  <li>
   Generative AI &amp; AI Agents
  </li>
  <ul>
   <li>
    Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
   </li>
   <li>
    Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 Preferred Experience &amp; Platforms
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 <ul>
  <li>
   Data Engineering (IT + OT)
  </li>
  <li>
   Experience designing and maintaining data pipelines across IT and OT environments
  </li>
  <li>
   Exposure to sensor data, streaming / real-time data processing, and industrial data sources
  </li>
  <li>
   Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
  </li>
  <li>
   MLOps / AgentOps
  </li>
  <li>
   Experience in model deployment and lifecycle management, including:
  </li>
  <ul>
   <li>
    Transition from model development to production and scale
   </li>
   <li>
    Monitoring, retraining, versioning, and drift management
   </li>
  </ul>
  <li>
   Familiarity with automation and operationalization of ML/AI workloads
  </li>
 </ul>
 <ul>
  <li>
   Cloud &amp; Analytics Platforms
  </li>
  <li>
   Experience working with enterprise cloud platforms, preferably:
  </li>
  <ul>
   <li>
    Microsoft Azure Data Platform
   </li>
   <li>
    Databricks AI Platform
   </li>
   <li>
    Microsoft AI Foundry / Microsoft AI Factory
   </li>
  </ul>
  <li>
   Understanding of cloud-native architectures for scalable analytics and AI solutions
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  </li>
 </ul>
 <strong>
  Core Competencies
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  <br/>
 </strong>
 <ul>
  <li>
   Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
  </li>
  <li>
   Adoption &amp; Business Impact: Value realized, user adoption, integration success.
  </li>
  <li>
   Delivery Velocity: Timeliness of development cycles and deployment readiness.
  </li>
  <li>
   Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
  </li>
 </ul>
</div>


Lead Specialist, Data Science & Analytics II

Hewlett Packard Enterprise | HPE

<div>MEA Networks for AI: DCN &amp; RIS Sales Specialist<p><br>
</p>This role has been designed as &lsquo;Hybrid&rsquo; with an expectation that you will work on average 2 days per week from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p><b>Summary:</b></p><p>
The MEA Network for AI: DCN and RIS Sales Specialist supports the local sales teams in the geo to provide specialist DCN and RIS knowledge and expertise, also working with the local specialist technical resources to drive business outcomes.</p><p></p><p><b>
Job Family Definition:</b></p><p>
Sales Specialists in the Networks for AI domain are responsible for leading the pursuit of complex data center networking and routing solutions within the Middle East and Africa region. They operate as subject matter experts, collaborating closely with account teams to develop pipeline, shape opportunities, and drive end-to-end sales execution. The role requires the ability to combine technical depth with consultative selling, enabling customers to align infrastructure investments with business and AI-driven outcomes while positioning differentiated solutions across the portfolio.</p><p></p><p><b>
Management Level Definition:</b></p><p>
This role operates at an advanced individual contributor level, recognized as an authority in data center networking and routing solutions. It requires the ability to solve complex business challenges through deep analysis, influence strategic direction across accounts and regions, and lead cross-functional virtual teams. The specialist contributes to the development of new approaches and best practices, exercises a high degree of independent judgment, and provides mentorship and guidance to broader sales and technical teams while shaping go-to-market execution and customer engagement strategies.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Lead the development and execution of sales pipeline across DCN and RIS opportunities</li><li>
Drive consultative customer engagements with technical and executive stakeholders</li><li>
Shape and influence solution architecture, including proofs of concept and design strategies</li><li>
Own and manage complex, multi-stakeholder sales cycles from qualification to closure</li><li>
Collaborate with account teams, sales engineers, and partners to deliver integrated solutions</li><li>
Develop and maintain strategic account plans aligned to growth objectives</li><li>
Ensure accuracy in forecasting and pipeline management disciplines</li><li>
Support partner enablement and contribute to joint go-to-market initiatives</li><li>
Position AI-ready networking solutions aligned with customer modernization goals</li></ul><p></p><p><b>
Education and Experience:</b></p><ul><li>
Bachelor&rsquo;s degree or equivalent professional experience</li><li>
Typically 8&ndash;12+ years of enterprise sales experience in networking or infrastructure</li><li>
Proven track record of selling complex data center networking or routing solutions</li><li>
Experience managing large, strategic enterprise account sales campaigns</li><li>
Demonstrated success in achieving and exceeding sales quotas</li><li>
Experience engaging with executive-level stakeholders in complex organizations</li><li>
Familiar with MEDDPICC and/or Strategic Selling approaches and framework</li><li>
Experienced presenter and public speaker</li></ul><p></p><p><b>
Knowledge and Skills:</b></p><ul><li>
Deep understanding of data center networking architectures and routing technologies</li><li>
Knowledge of AI infrastructure connectivity and modern data center environments</li><li>
Strong consultative selling and business case development capabilities</li><li>
Advanced account planning, forecasting, and pipeline management skills</li><li>
Ability to navigate complex, multi-stakeholder sales environments</li><li>
Strong collaboration skills across technical, sales, and partner organizations</li><li>
Competitive positioning and market awareness within networking industry</li><li>
Excellent communication and executive engagement capabilities</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#saudiarabia, #unitedarabemirates
#networking, #sales<p></p><p><b>
Job:</b></p>
Sales<p><b>
Job Level:</b></p>
Master<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>Recruitment Fraud Alert</b></p><p></p><p>
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.</p><p></p><p>
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual&rsquo;s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.</p></div>

MEA Networks for AI: DCN & RIS Sales Specialist

MASTER-WORKS

<div><p><b>Master Works </b>is seeking a detail-oriented and analytical <b>Data Management, Specialist</b> to support and lead activities across multiple data management domains. The successful candidate will be responsible for ensuring the accuracy, integrity, security, and accessibility of organizational data by managing data collection, validation, maintenance, governance, and quality processes. You will work closely with cross-functional teams to develop and implement data management standards, improve data quality, ensure compliance with company policies and regulatory requirements, support reporting and analytics, and drive continuous improvement initiatives that enable informed decision-making and operational excellence.</p><p><br>
</p><p><b>Key Responsibilities
</b></p><ul><li>Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
</li><li>Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, documenting data lineage, and ensuring compliance with organizational and NDMO requirements.
</li><li>Govern Master and Reference Data by standardizing data definitions, assigning Data Owners and business responsibilities, maintaining reference data, and ensuring data consistency, integrity, and compliance across enterprise systems.
</li><li>Design, develop, and maintain Power BI dashboards, reports, and data visualizations by integrating enterprise data sources to support business intelligence, reporting, and informed decision-making.</li><li>
Develop and implement AI Governance policies, standards, and controls, assess AI-related risks, review AI use cases, and ensure the responsible, ethical, and compliant use of AI solutions.</li><li>
Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve data governance issues, drive continuous improvement initiatives, and ensure effective implementation of governance practices.</li><li>
Prepare and present governance, compliance, quality, and maturity reports, support NDMO and National Data Index (NDI) compliance initiatives, and promote enterprise-wide awareness of Data Governance and AI Governance best practices</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems, Information Technology, Software Engineering, Artificial Intelligence or Data Analytics.</li><li>
A Master's degree is considered an advantage.
</li><li>Relevant professional certifications (e.g., CDMP, DGSP, Microsoft Power BI Certification, DAMA-related certifications, or AI Governance/AI Ethics certifications) are highly desirable.</li><li>
5&ndash;7 years of relevant experience in Data Management or Data Governance.</li><li>
Demonstrated experience in implementing NDMO controls or similar enterprise data governance frameworks.</li><li>
Experience with metadata management, data quality, master data management, and business intelligence.</li><li>
Experience working with enterprise Data Governance platforms (e.g., Informatica, Collibra, Alation, or equivalent).</li><li>
Hands-on Power BI experience.</li><li>
Experience with AI Governance is highly desirable.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to lead cross-functional initiatives.</li><li>
Report writing and presentation skills.</li><li>
Strong coordination and project management capabilities.</li></ul><p></p><b>
Technical Skills</b><ul><li>
Data Governance</li><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Catalog</li><li>
Business Glossary</li><li>
Master Data Management (MDM)</li><li>
Reference Data Management (RDM)</li><li>
Power BI</li><li>
SQL (Preferred)</li><li>
Data Modeling Concepts</li><li>
Data Lineage</li><li>
Data Architecture Fundamentals</li><li>
AI Governance Principles
</li></ul><p></p><p><b>Job location: Client Site</b></p></div>

Data Management, Specialist

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce is hiring Deployment Strategists &mdash; Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound &mdash; typically 12 weeks or less &mdash; and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.
</p><p></p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li><p>Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle &mdash; Identify Commit Deploy Consume &mdash; owning outcomes at every stage, not just discovery or deal closure
</p></li><li><p>AI Strategy &amp; Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
</p></li><li><p>Deployment Oversight &amp; Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
</p></li><li><p>Adoption &amp; Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
</p></li><li><p>Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
</p></li><li><p>AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
</p></li><li><p>Cursor, Claude, and our coding products like Vibes, to accelerate development.
</p></li><li><p>Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
</p></li><li><p>AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents
</p></li><li><p>Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li><p>4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have
</p></li><li><p>Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
</p></li><li><p>Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
</p></li><li><p>Proven ability to lead and own complex, ambiguous engagements end-to-end &mdash; from discovery through to measurable outcomes
</p></li><li><p>Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
</p></li><li><p>Strong project and programme management skills &mdash; ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
</p></li><li><p>Ability to travel to customer sites as needed to ensure client success
</p></li><li><p>Business level proficiency in Arabic and English
</p></li><li><p>Computer Science (CS) degree or related.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Experience
</b></h2><ul><li><p>Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
</p></li><li><p>Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare)
</p></li><li><p>Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms.
</p></li><li><p>Background in change management, organisational design, or enterprise transformation
</p></li><li><p>Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
</p></li><li><p>A get-things-done mindset with strong bias for action &mdash; comfortable operating in unstructured fast moving environments
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Deployment Strategist, Arabic Speaking

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
</p><p></p><p><b>The Senior Builder Experience
</b></p><ul><li><p>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</p></li><li><p>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</p></li><li><p>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</p></li><li><p>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</p></li></ul><p></p><p><b>What You'll Actually Be Building
</b></p><ul><li><p>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</p></li><li><p>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</p></li><li><p>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</p></li><li><p>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</p></li><li><p>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</p></li><li><p>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</p></li><li><p>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</p></li><li><p>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</p></li><li><p>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</p></li><li><p>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</p></li><li><p>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</p></li></ul><p></p><p><b>You're Our Senior Forward Deployed Engineer If&hellip;
</b></p><ul><li><p>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</p></li><li><p>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</p></li><li><p>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</p></li><li><p>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</p></li><li><p>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</p></li><li><p>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</p></li><li><p>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</p></li><li><p>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</p></li><li><p>Ability to travel to customer sites as needed to ensure client success
</p></li><li><p>Business level proficiency in Arabic and English
</p></li><li><p>Computer Science (CS) degree or related.
</p></li></ul><p></p><p><b>Nice-to-Haves
</b></p><ul><li><p>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</p></li><li><p>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</p></li><li><p>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</p></li><li><p>Track record of influencing enterprise software product roadmaps through field engineering insight
</p></li><li><p>Open-source contributions, published technical writing, or conference presentations
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Forward Deployed Engineer, Arabic Speaking

Talent Blueprint FZ LLC

<div>
 <p>
  <strong>
   Position:
  </strong>
  Logistics Specialist
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Riyadh, Saudi Arabia
 </p>
 <p>
  <strong>
   Contract Duration:
  </strong>
  August 2026 &ndash; February 2027
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are supporting the delivery of an upcoming large-scale international sporting tournament in Saudi Arabia and are looking for an experienced
  <strong>
   Logistics Specialist
  </strong>
  to join the team.
 </p>
 <p>
  The Logistics Specialist will be responsible for planning, coordinating, and executing logistics operations across multiple event venues and operational sites. The role requires excellent organizational skills, strong analytical capabilities, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment. The successful candidate will work closely with internal teams, vendors, transport providers, and stakeholders to ensure the timely movement, tracking, and availability of all event-related assets and materials.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Coordinate daily logistics operations across multiple venues and event locations.
  </li>
  <li>
   Plan and monitor the movement of equipment, materials, and event assets.
  </li>
  <li>
   Track deliveries, shipments, and inventory to ensure timely availability.
  </li>
  <li>
   Coordinate with suppliers, contractors, freight providers, transport companies, and internal stakeholders.
  </li>
  <li>
   Support inventory management, warehousing, storage, and distribution activities.
  </li>
  <li>
   Ensure timely deployment, relocation, and retrieval of event assets.
  </li>
  <li>
   Assist in transportation planning, scheduling, and route coordination.
  </li>
  <li>
   Prepare and maintain logistics trackers, inventory records, and operational reports.
  </li>
  <li>
   Develop and maintain logistics dashboards and reports using
   <strong>
    Power BI
   </strong>
   to monitor KPIs and operational performance.
  </li>
  <li>
   Analyze logistics data to identify trends, risks, bottlenecks, and opportunities for process improvement.
  </li>
  <li>
   Monitor logistics KPIs and provide regular status updates to management.
  </li>
  <li>
   Ensure compliance with operational procedures, health &amp; safety standards, and event logistics protocols.
  </li>
  <li>
   Support contingency planning and resolve logistics issues proactively.
  </li>
  <li>
   Participate in logistics planning meetings and operational briefings.
  </li>
  <li>
   Maintain accurate documentation, including delivery notes, asset registers, and inventory reconciliation.
  </li>
  <li>
   Support post-event logistics activities, including asset recovery and inventory reconciliation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Candidate Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Logistics, Supply Chain Management, Business Administration, Operations Management, or a related field is preferred.
  </li>
  <li>
   Minimum 2&ndash;5 years of experience in logistics, supply chain, operations, or coordination.
  </li>
  <li>
   Previous experience supporting events, sports tournaments, exhibitions, or large-scale projects is highly preferred.
  </li>
  <li>
   <strong>
    Mandatory proficiency in Microsoft Power BI
   </strong>
   , including creating dashboards, reports, and data visualizations.
  </li>
  <li>
   Advanced Microsoft Excel skills (Pivot Tables, Power Query, formulas, and data analysis).
  </li>
  <li>
   Experience using inventory management, ERP, or logistics management systems is an advantage.
  </li>
  <li>
   Strong organizational and multitasking skills.
  </li>
  <li>
   Excellent communication and stakeholder management abilities.
  </li>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Ability to work under pressure and meet tight deadlines.
  </li>
  <li>
   High attention to detail and accuracy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
</div>


Logistics Specialist

HUED | هيود

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  We are seeking an experienced AI Applications / Solutions Engineer to design, build, and deploy intelligent solutions powered by modern AI technologies. The ideal candidate will have strong expertise in Large Language Models (LLMs), Generative AI (GenAI), and Retrieval-Augmented Generation (RAG) systems, with the ability to integrate AI models with enterprise data and business workflows.
 </p>
 <p>
  This role requires a strong software engineering background combined with hands-on experience in developing scalable AI-driven applications, optimizing model performance, and delivering production-ready solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
  </li>
  <li>
   Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources.
  </li>
  <li>
   Develop effective prompt engineering strategies to improve AI output quality, consistency, and reliability.
  </li>
  <li>
   Prepare and process structured and unstructured datasets for AI model consumption, including data cleaning, chunking, and embedding generation.
  </li>
  <li>
   Integrate AI systems with internal platforms, APIs, and business applications.
  </li>
  <li>
   Work with vector databases such as Pinecone or FAISS for semantic search and knowledge retrieval.
  </li>
  <li>
   Evaluate model performance and continuously improve solution accuracy, latency, and scalability.
  </li>
  <li>
   Collaborate with cross-functional teams to identify AI use cases and deliver business-driven solutions.
  </li>
  <li>
   Stay updated with the latest advancements in AI, LLMs, and GenAI technologies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Software Engineering, AI, or a related field.
  </li>
  <li>
   Minimum 4 years of software development experience.
  </li>
  <li>
   Recent hands-on experience in Artificial Intelligence, particularly in LLM and GenAI applications.
  </li>
  <li>
   Strong understanding of Large Language Models (LLMs) and their practical applications.
  </li>
  <li>
   Proven experience in designing and implementing Generative AI solutions.
  </li>
  <li>
   Strong experience in Prompt Engineering.
  </li>
  <li>
   Hands-on experience building RAG solutions.
  </li>
  <li>
   Strong proficiency in Python.
  </li>
  <li>
   Experience in data preparation for AI systems (Cleaning, Chunking, Embedding).
  </li>
  <li>
   Experience working with vector databases such as Pinecone or FAISS.
  </li>
  <li>
   Familiarity with Fine-Tuning techniques is a strong plus.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer

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