ai automation llms rag engineer

Sadat Consulting

<p><b>Sen your CV across mohammed.sadatgac@gmail.com with below details</b></p><p><b>1. Notice period</b><br/><b>2. Current salary</b><br/><b>3. Expected salary</b><br/><b>4. Do you have Transferable IQAMA</b></p><p><b>Role Purpose </b></p><p>Develop AI-enabled automation aligned with roadmap including automation workflows, AI</p><p>assisted reporting, anomaly detection, and enterprise AI integration patterns.</p><p>Key Responsibilities</p><ul><li>Develop automation pipelines and workflow automations</li><li>Integrate enterprise AI services (LLM APIs, automation endpoints)</li><li>Develop anomaly detection logic and operational intelligence rules</li><li>Build AI-assisted reporting components aligned with dashboards</li><li>Maintain AI/automation documentation and reproducibility</li><li>Ensure governance-aligned AI implementation (approval where required)</li><li>Support integration of AI outputs into enterprise apps (Frappe, dashboards)</li></ul><p>Mandatory Technical Requirements</p><ul><li>Python (ML/automation stack)</li><li>Experience integrating enterprise AI APIs</li><li>Familiarity with RAG architecture concepts</li><li>Automation frameworks and scripting (job scheduling, pipelines)</li><li>Strong integration skills (API-based orchestration)</li></ul><p>Minimum Experience</p><ul><li>8+ years experience</li><li>Proven delivery of AI/automation in enterprise environments</li></ul><p>Job Types: Full-time, Permanent</p><p>Work Location: In person</p>

AI Automation (LLMs, RAG) Engineer

DeepSource Technologies

<div><p>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.</p><p></p><p>
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.</p><p></p><p>
Key Responsibilities</p><ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function.<br>
</li></ul><br>
<br>
<p></p><b>Requirements</b><ul><li><br>
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div><p></p>

AI Architect - Riyadh,KSA

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><p><b><br>
What you&rsquo;ll build:</b></p><p><br>
</p><p>This role is for a developer who builds AI solutions that reach production and operate reliably in enterprise environments. You will work with AI architects and data engineers within a growing AI practice. You will design and implement AI applications, agent-based workflows, and integrations across SAP landscapes, working from solution design through to deployment.</p><p></p><p><b><br>
What you bring:</b></p><br>
<p></p><ul><li>
3&ndash;5 years in software engineering, AI development, or equivalent experience delivering AI or data-driven solutions used in real environments.</li><li><p>
Experience building AI applications such as LLM-based solutions, RAG pipelines, or intelligent automation workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar tools.</p></li><li><p>
Experience developing applications using languages commonly used in AI development. Python experience is strongly recommended. Experience with APIs, microservices, and containerisation is beneficial.</p></li><li><p>
Exposure to SAP BTP or similar enterprise cloud platforms is beneficial and will be developed on the job. /</p><p>
Deep SAP platform knowledge is valuable but not the gating factor.</p></li></ul><p></p><p><br>
What Success Looks Like</p><ul><li><div><ul><li>
AI applications operate reliably in production environments.</li><li>
Agent-based workflows support real business processes.</li><li>
Code and components are reusable across projects.</li><li>
Architecture transitions smoothly into implementation.</li><li>
Customers actively use the AI capabilities delivered.</li></ul></div></li></ul><p></p><p><b><br>
Where you belong:</b></p><p></p><p><br>
AI Application Development (core focus):</p><ul><li><div><ul><li>
Build and deploy production-grade AI applications.</li><li>
Activate SAP Business AI capabilities and extend them with custom AI solutions where needed.</li><li>
Implement ML, GenAI, and RAG workflows for enterprise use cases.</li><li>
Containerise and deploy AI services using Docker or similar technologies.</li><li>
Build reusable AI components and accelerators.</li></ul></div></li></ul><p>
Agent-Based AI Development:</p><ul><li><div><ul><li>
Design and implement agent-based AI workflows.</li><li>
Implement orchestration patterns for multi-step or multi-agent scenarios, including MCP where relevant.</li><li>
Apply prompt engineering techniques to improve reliability and performance of LLM-based solutions.</li><li>
Evaluate and integrate open-source and proprietary LLMs.</li></ul></div></li></ul><p>
SAP Platform Integration:</p><ul><li><div><ul><li>
Integrate AI services with SAP BTP and SAP applications.</li><li>
Connect AI solutions with enterprise data platforms and cloud environments where required.</li></ul></div></li></ul><p>
Engineering and Model Lifecycle:</p><ul><li><div><ul><li>
Implement pipelines supporting testing, deployment, and operation of AI services.</li><li>
Contribute to monitoring, versioning, and lifecycle management of AI solutions.</li><li>
Maintain clean, maintainable code and documentation.</li></ul></div></li></ul><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 448415 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</p></div>

AI Developer (One-Year Fixed Term contract)

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Riyadh (Flexible)</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 30+ Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR110593</div></div></div></div></div></div><div><div><p>
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.</p><p></p><p>
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.</p><p></p><p><b>
Senior Solutions Consultant</b></p><p>
As a <b>Senior Solutions Consultant</b>, you act as a trusted advisor throughout the customer buying journey, helping organizations connect their customer experience strategy with practical, scalable solutions. You engage both business and technical stakeholders, from operational leaders to architects and C-level executives guiding them through complex evaluations with clarity, credibility, and insight.</p><p>
You play a critical role in driving successful outcomes across enterprise and upper mid-market opportunities by combining strong technical expertise with a consultative, outcome-oriented approach.</p><p></p><p><b><br>
What You&rsquo;ll Be Responsible For</b></p><p></p><p><b>
Discovery &amp; Outcome Alignment</b></p><ul><li><p>
Engage stakeholders to understand business objectives, operational challenges, and success metrics</p></li><li><p>
Facilitate discovery sessions and workshops to identify gaps, opportunities, and value drivers</p></li><li><p>
Translate customer needs into solution approaches aligned to measurable outcomes (e.g., customer satisfaction, efficiency, productivity)</p></li><li><p>
Help customers understand the organizational and operational impact of modernizing customer experience</p></li></ul><p></p><p><b>
Solution Design &amp; Advisory</b></p><ul><li><p>
Develop high-level solution architectures and business solution roadmaps aligned to customer priorities and constraints</p></li><li><p>
Balance innovation with feasibility, scalability, and long-term sustainability</p></li><li><p>
Produce key deliverables such as discovery documentation, solution designs, and architecture diagrams</p></li><li><p>
Ensure smooth transition to delivery teams by setting clear expectations and success criteria</p></li></ul><p></p><p><b>
Demonstrations &amp; Value Communication</b></p><ul><li><p>
Design and deliver tailored, scenario-based demonstrations showcasing AI-powered experience orchestration</p></li><li><p>
Excellent in story telling and lead in value selling approach</p></li><li><p>
Communicate complex technical concepts (AI, automation, integrations) in a clear and practical way</p></li><li><p>
Adapt messaging for diverse audiences, including executives, business users, and technical teams</p></li><li><p>
Experienced soft skills and objection handling.</p></li><li><p>
Articulate business value and differentiation in the context of customer needs</p></li></ul><p></p><p><b>
Supporting Complex Sales Cycles</b></p><ul><li><p>
Partner with Account Executives and cross-functional teams to drive strategy on large, complex deals</p></li><li><p>
Lead or contribute to RFx responses, proposals, and customer presentations</p></li><li><p>
Guide customers through evaluation and decision-making processes</p></li><li><p>
Lead virtual or on-site workshops to build alignment and confidence</p></li><li><p>
Building business cases / ROI models</p></li><li><p>
Quantifying value (cost reduction, containment, CSAT impact)</p></li><li><p>
Partnering with Value Consultants (or doing it themselves)</p></li></ul><p></p><p><b>
Technical Validation &amp; Integration Advisory</b></p><ul><li><p>
Engage with architects, developers, and IT teams to validate solution fit within enterprise ecosystems</p></li><li><p>
Advise on APIs, integrations, data flows, security, and interoperability</p></li><li><p>
Address feasibility, risk, and technical adoption considerations</p></li><li><p>
Support use cases involving AI, automation, analytics, and digital engagement</p></li><li><p>
Coordinate with SME, partners and Product Team.</p></li></ul><p></p><p><b>
Innovation &amp; Thought Leadership</b></p><ul><li><p>
Stay current with industry trends, emerging technologies, and best practices (AI, cloud, security and CX)</p></li><li><p>
Build reusable solution assets, demos, and frameworks leveraging modern technologies (e.g., APIs, cloud, Infrastructure as Code)</p></li><li><p>
Act as a technical ambassador, showcasing innovative solutions to customers and partners</p></li></ul><p></p><p><b>
Team Collaboration &amp; Leadership</b></p><ul><li><p>
Collaborate with Sales, Presales, Partners, and Delivery teams to drive successful outcomes</p></li><li><p>
Lead or contribute to virtual deal teams on complex opportunities</p></li><li><p>
Share knowledge, mentor peers, and contribute to team best practices</p></li><li><p>
Operate with a high degree of autonomy while managing multiple priorities</p></li><li><p>
Co-selling and co-designing solutions</p></li></ul><p></p><p><b>
What We&rsquo;re Looking For</b></p><p>
You bring a strong consultative mindset, combining technical depth with the ability to simplify complexity. You are comfortable operating in ambiguity, influencing senior stakeholders, and building confidence in both business and technical decisions.</p><p></p><p><b>
Required Experience</b></p><ul><li><p>
Excellent communication &amp; presentation skills in both Arabic and English</p></li><li><p>
5+ years in active Solutions Consulting, Technical Presales, Solutions Architecture, or similar customer-facing technical roles</p></li><li><p>
Experience supporting enterprise or complex SaaS / cloud evaluations</p></li><li><p>
Strong understanding of cloud architectures, APIs, integrations, and modern SaaS platforms</p></li><li><p>
Solid technical foundation across networking, security, and software systems</p></li><li><p>
Proven ability to communicate effectively with both business and technical audiences</p></li><li><p>
Experience collaborating across sales, product, and delivery teams</p></li><li><p>
Commercial Awareness: Supporting commercial constructs, Understanding licensing models, consumption, and TCO</p></li><li><p>
Build and articulate compelling business cases, linking Genesys capabilities to measurable financial and operational outcomes</p></li></ul><p></p><p><b>
Preferred Experience</b></p><ul><li><p>
Experience in customer experience (CX), contact center (CCaaS), CRM, or digital engagement platforms</p></li><li><p>
Familiarity with AI technologies (LLMs, NLU, predictive models), automation, and analytics use cases</p></li><li><p>
Hands on Demo, POC is a plus.</p></li><li><p>
Exposure to platforms such as AWS, Salesforce, ServiceNow, or similar ecosystems</p></li><li><p>
Knowledge of contact center technologies (IVR, WFM, recording, digital channels, VoIP/SIP , AI)</p></li><li><p>
Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) is a plus</p></li><li><p>
Strong workshop facilitation, presentation, and stakeholder management skills</p></li><li><p>
Familiarity with CcaaS ecosystem</p></li><li><p>
Experience working with system integrators, partners, or BPO providers</p></li><li><p>
Leading competitive differentiation conversations</p></li><li><p>
Experience with cloud migration strategies &amp; Change management considerations</p></li></ul><p></p><p>
#LI-MC1</p><p></p><p>
If a Genesys employee referred you, please use the link they sent you to apply.</p><p></p><p><b>
About Genesys:</b></p><p>
Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.</p><p></p><p><b>
Reasonable Accommodations:</b></p><p>
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.</p><p></p><p>
You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.</p><p></p><p>
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.</p><p></p><p><b>
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or </b><b>expression, marital</b><b> status, domestic partner </b><b>status, national</b><b> origin, genetics, </b><b>disability, military</b><b> and veteran status, and other protected characteristics.</b></p><p></p><p><i>
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</i></p></div></div></div>

Senior Solution Consultant

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 C#
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Contractor
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our customer's team as an expert C# engineer and play a pivotal role in an innovative AI agent project. As a vital contributor, you will leverage your expertise to train AI models and shape intelligent systems. This fully remote position is perfect for driven professionals passionate about creating transformative technology.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, implement, and maintain robust C# applications for AI agent solutions.
  </li>
  <li>
   Collaborate with cross-functional teams to design and optimize AI model architectures.
  </li>
  <li>
   Utilize strong back-end or fullstack capabilities to ensure high-performance and scalable solutions.
  </li>
  <li>
   Analyze project requirements and deliver clean, efficient, and well-documented code.
  </li>
  <li>
   Enhance AI training processes by providing expert input and innovative solutions.
  </li>
  <li>
   Communicate effectively with team members, sharing insights and technical updates.
  </li>
  <li>
   Troubleshoot, debug, and optimize application performance during AI model training and deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expert-level proficiency in C# programming.
  </li>
  <li>
   Over 4 years of professional experience in software development.
  </li>
  <li>
   Demonstrated expertise in back-end or fullstack engineering.
  </li>
  <li>
   Strong written and verbal communication skills with an emphasis on clarity and collaboration.
  </li>
  <li>
   Experience working in remote team environments.
  </li>
  <li>
   Track record of delivering complex technical projects efficiently.
  </li>
  <li>
   Ability to work autonomously and proactively address challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience contributing to AI or machine learning projects.
  </li>
  <li>
   Familiarity with training, fine-tuning, or evaluating AI models.
  </li>
  <li>
   Exposure to modern cloud platforms or distributed systems.
  </li>
 </ul>
</div>


C# Developer - Remote

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</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>Ar Riyad</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><div>Job Overview:<br>
</div><div>
We are looking for a motivated and innovative <b>Artificial Intelligence Engineer</b> with <b>3+ years of experience</b> in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in <b>machine learning, data modeling, Python programming, and AI solution development</b>, with the ability to transform business requirements into intelligent systems and predictive models.<br>
<br>
</div><div></div><br>
<p><b>Key Responsibilities:</b></p><br>
<ul><li>
Design, develop, and deploy <b>AI and machine learning models</b> for business use cases.<br>
</li><li>
Build and optimize <b>predictive, classification, and recommendation models</b>.<br>
</li><li>
Work with large datasets to perform <b>data preprocessing, feature engineering, and model training</b>.<br>
</li><li>
Develop AI-driven solutions using <b>Python and machine learning frameworks</b>.<br>
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques.<br>
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases.<br>
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems.<br>
</li><li>
Monitor deployed models and ensure continuous performance improvement.<br>
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
3+ years of experience in <b>Artificial Intelligence / Machine Learning Engineering</b><br>
</li><li>
Strong proficiency in <b>Python</b><br>
</li><li>
Hands-on experience with <b>machine learning algorithms and model development</b><br>
</li><li>
Experience with libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy</b><br>
</li><li>
Good understanding of <b>data structures, statistics, and predictive analytics</b><br>
</li><li>
Experience in <b>data cleaning, feature engineering, and model evaluation</b><br>
</li><li>
Knowledge of <b>SQL and database management</b><br>
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div><p></p>

Artificial Intelligence Engineer

Confidential Careers

<div>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  The CTO will lead the company&rsquo;s technology vision, strategy, and execution, ensuring scalable, secure, and high-performing platforms to support rapid growth in the fintech space. The role requires deep expertise in financial technologies, digital lending/payment systems, and regulatory-compliant architectures, with a strong focus on automation, speed-to-market, and customer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Define and execute the overall
   <strong>
    technology strategy
   </strong>
   aligned with business goals and growth plans
  </li>
  <li>
   Lead the development of
   <strong>
    scalable, secure, and high-availability fintech platforms
   </strong>
   (e.g., lending, payments, wallets)
  </li>
  <li>
   Oversee
   <strong>
    end-to-end architecture
   </strong>
   , including cloud infrastructure, APIs, and microservices
  </li>
  <li>
   Ensure full compliance with
   <strong>
    regulatory requirements
   </strong>
   (e.g., SAMA, PCI-DSS, data privacy)
  </li>
  <li>
   Drive
   <strong>
    automation and system optimization
   </strong>
   , enabling fast onboarding and near real-time transaction processing
  </li>
  <li>
   Lead and scale high-performing
   <strong>
    engineering, data, and IT teams
   </strong>
  </li>
  <li>
   Manage relationships with
   <strong>
    technology vendors, partners, and regulators
   </strong>
  </li>
  <li>
   Implement best practices in
   <strong>
    cybersecurity, data protection, and risk management
   </strong>
  </li>
  <li>
   Collaborate with Product and Business teams to deliver
   <strong>
    customer-centric digital solutions
   </strong>
  </li>
  <li>
   Oversee
   <strong>
    technology budgeting, cost optimization, and ROI tracking
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in
   <strong>
    Computer Science, Engineering, or related field
   </strong>
  </li>
  <li>
   <strong>
    10&ndash;15+ years of experience
   </strong>
   in technology leadership roles, with a strong focus on fintech
  </li>
  <li>
   Proven experience in
   <strong>
    digital lending, payments, BNPL, or financial platforms
   </strong>
  </li>
  <li>
   Strong understanding of
   <strong>
    fintech regulations and compliance frameworks
   </strong>
  </li>
  <li>
   Hands-on experience with
   <strong>
    cloud platforms
   </strong>
   (AWS, Azure, or GCP) and modern architectures (microservices, APIs)
  </li>
  <li>
   Experience building
   <strong>
    highly automated platforms
   </strong>
   with minimal manual intervention
  </li>
  <li>
   Strong knowledge of
   <strong>
    data architecture, analytics, and AI-driven decisioning
   </strong>
   is a plus
  </li>
  <li>
   Demonstrated ability to
   <strong>
    scale systems and teams in fast-paced environments
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Experience
  </strong>
 </p>
 <ul>
  <li>
   Experience in
   <strong>
    B2C fintech platforms
   </strong>
   , especially micro-lending or instant loan applications
  </li>
  <li>
   Background in delivering
   <strong>
    fast onboarding and disbursement journeys (e.g., loans within minutes)
   </strong>
  </li>
 </ul>
 <p>
 </p>
</div>


Chief Technology Officer (Fintech)

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