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adjunct faculty - school of computational sciences and artificial intelligence Jobs in Egypt

business teacher postsecondary ai training

Etisalat

<div><div>AI Development Senior Principal Engineer.Customer and Partner Management - (260000ZA)</div><div>
Description<div></div> 
Job Purpose
Lead AI model development programs (OCR, multimodal, conversational AI, agentic AI, STT/TTS), define the technical roadmap for model capabilities, guide PoCs to production, and ensure the AI product portfolio delivers measurable business impact.

Report To Position Name
Strategy &amp; Roadmap Define AI/GenAI roadmap aligned with business strategy (conversational experiences, voice automation, knowledge assistants). Evaluate vendor vs open-source LLM options; define hybrid multi-LLM strategies. Product &amp; PoC Leadership Lead productization: turn PoCs into resilient AI services (model lifecycle, monitoring, rollout). Sponsor and validate PoCs for agentic AI, RAG-driven assistants, multimodal features and STT/TTS voice bots. Architecture &amp; Governance Define model architecture standards, security and compliance guardrails, and explainability approaches. Set MLOps standards (training pipelines, model registry, CI/CD for models, drift detection). Team Leadership Manage and grow a high-performing AI engineering team; mentor senior staff and data scientists. Coordinate cross-functional efforts with platforms, product and operations. Stakeholder Engagement Translate business requirements into model specs, ROI assumptions and deployment plans. Present outcomes and technical risk to executive stakeholders.<div> 
</div></div><div>
Qualifications<div></div> 
QUALIFICATIONS_ESSENTIAL
Master's or PhD in AI/ML strongly preferred 
QUALIFICATIONS_DESIRABLE
Architect enterprise solutions for production scaling, cost/latency trade-offs, model governance. 
EXPERIENCE_ESSENTIAL
4+ years in AI/ML, including leadership delivering commercial AI products. 
EXPERIENCE_DESIRABLE
Expert in generative AI, agentic systems, RAG, embeddings &amp; vector DBs, STT/TTS solutions, production MLOps and ethical AI practices 
CERTIFICATIONS_ESSENTIAL
N/AN<div> 
</div></div><div>
Job: Senior Principal Engineer</div><div>
Organization: Etisalat-Misr</div><div>
Job Posting: 07/Jun/2026, 12:42:16 PM</div></div>

AI Development Senior Principal Engineer.Customer and Partner Management

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Full Stack AI Software Engineer

Finaira

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to end.
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal AI Engineer

CEGEDIM

<div></div><div><div><div><div><ul><li>Stage, 1-2 mois</li><li>
Temps plein</li><li>
Moins de 2 ans d&rsquo;exp&eacute;rience</li><li>
BUT, Licence, Bac+3</li><li>
Informatique / Syst&egrave;mes d&rsquo;information</li></ul></div></div><div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader">Contexte
</h2><div>Join us in building the next generation of intelligent cloud solutions. At Cegedim Academy, we're looking for passionate AI Engineering Interns to work alongside experienced mentors and talented peers on real-world AI projects. As part of the internship, you'll contribute to the design and development of AI-powered solutions integrated into our cloud products. This is a hybrid, fast-paced environment where innovation, collaboration, and continuous learning are encouraged. You'll gain hands-on experience with modern AI technologies while making meaningful contributions to production-oriented solutions.
What You'll Do<ul><li>
Design and develop AI-powered solutions for cloud-based products</li><li>
Explore and implement modern NLP and Generative AI techniques</li><li>
Build, train, evaluate, and optimize machine learning and deep learning models</li><li>
Work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems</li><li>
Integrate AI capabilities into real-world business applications</li><li>
Collaborate with fellow interns, engineers, and mentors throughout the project lifecycle</li><li>
Learn industry best practices for AI development, testing, and deployment</li></ul>
What We're Looking For
Currently pursuing or recently completed (2025 or 2026) a degree in:<ul><li>
Computer Science</li><li>
Computer Engineering</li><li>
Artificial Intelligence</li><li>
Data Science or related fields</li></ul>
Technical Skills:<ul><li>
Strong programming skills in Python</li><li>
Hands-on experience with PyTorch or TensorFlow</li><li>
Understanding of machine learning fundamentals and model training workflows</li><li>
Interest in Natural Language Processing and Generative AI</li><li>
Familiarity with Transformers, Large Language Models (LLMs), vector databases, and RAG architectures is a plus</li></ul>
Soft Skills:<ul><li>
Strong teamwork, communication, and problem-solving skills</li><li>
Curiosity, initiative, and a willingness to learn</li><li>
Ability to work in a collaborative environment</li></ul>
Why Join Us?<ul><li>
Work on real AI challenges with business impact</li><li>
Receive mentorship from experienced professionals</li><li>
Gain practical experience with cutting-edge AI technologies</li><li>
Collaborate in a supportive and innovative environment</li><li>
Build skills that prepare you for a career in AI Engineering</li></ul></div></div><div><h2 class="jobSectionHeader">
Words from our recruiter</h2><div>
BigData, Fullstack JS, NoSQL, ElasticSearch, Agile, SaaS ... do these concepts, methods and technologies speak to you? You want to practice them in a team of passionate people, whose objective is to put new technologies at the service of high value solutions that are both powerful and easy to use. Within a leading company in the health and insurance sectors, our teams develop SaaS software in web and mobile mode around topics related to the collection and analysis of health data, the detection of fraud , the observance of good practices ... for our subsidiaries in France and abroad. Like us, you are curious, dynamic, committed, you like to work in a team, your job is one of your passions, so come and join the research and development department of the Cegedim Group.<div><div>
Philippe Hamon
Senior VP R&amp;D Group</div></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">
Localisation</h3><div>
EmplacementAdresse</div>
81 N Teseen St, Cairo, &Eacute;gypte</div></div></div></div></div>

AI Engineering Intern

Brainlake

<div>
 We're looking for a hands-on
 
 AI Automation Engineer
 
 to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.
 
 
 You'll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.
 
 
 This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.
 
 
 ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
 
 
 ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
 
 
 ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
 
 
 ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
 
 
 ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
 
 
 ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users
 
 
 ❏ Build automated reporting, monitoring, and business intelligence workflows
 
 
 ❏ Conduct workflow discovery sessions and identify automation opportunities across departments
 
 
 ❏ Create technical documentation, architecture diagrams, and deployment guidelines
 
 
 ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
 
 
 ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions
 
 
 
 Requirements
 
 
 
 ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems
 
 
 ❏ Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms
 
 
 ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies
 
 
 ❏ Understand prompt engineering, AI orchestration, and agent-based systems
 
 
 ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations
 
 
 ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools
 
 
 ❏ Have experience working with structured and unstructured data
 
 
 ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript
 
 
 ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks
 
 
 ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems
 
 
 ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies
 
 
 ❏ Have built customer service, sales, HR, finance, or operations AI agents
 
 
 ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications
 
 
 ❏ Think in systems and enjoy simplifying complex business processes
 
 
 ❏ Communicate clearly and take ownership of delivery
 
 
 ❏ Have strong troubleshooting and problem-solving skills
 
 
 ❏ Are comfortable working directly with clients and stakeholders
 
 
 ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies
 
 
 ❏ Have a track record of reducing manual processes through intelligent automation
 
 
 ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients
 
 
 ❏ Continuously identify opportunities to introduce AI and automation into business operations
</div>

AI Automation Engineer

Integrant

<div>We Are Hiring!
Integrant is looking for game changers to join our team as &quot;Data Scientist - AI &amp; Machine Learning&quot; with below roles and responsibilities:<ul><li>
Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
</li><li>Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
</li><li>Conduct open research and experimentation to develop innovative solutions for complex client challenges.
</li><li>Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
</li><li>Design and implement end-to-end Machine Learning and Generative AI solutions.
</li><li>Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
</li><li>Develop scalable model deployment and monitoring solutions using MLOps best practices.
</li><li>Monitor model performance, detect concept drift, and continuously improve deployed systems.
</li><li>Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
</li><li>Mentor and coach junior Data Scientists and Machine Learning Engineers.
</li><li>Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
</li><li>Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.</li></ul> 

Requirements 
Education &amp; Experience<ul><li><ul><li>
10+ years of professional experience, including 7+ years in Data Science, Machine Learning &amp; MLOps</li><li>
MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li><li>
PhD is preferred, in related field.
</li><li>Experience mentoring, coaching, or leading technical team members.</li></ul></li></ul>
Data Science &amp; Machine Learning<ul><li><ul><li>
Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.</li><li>
Experience with Deep Learning concepts and frameworks.</li><li>
Extensive hands-on experience with Python and the Data Science ecosystem.</li><li>
Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.</li><li>
Experience conducting research, experimentation, and hypothesis-driven analysis.</li></ul></li></ul>
MLOps &amp; Production AI<ul><li><ul><li>
Experience deploying and managing Machine Learning models in production environments.</li><li>
Experience monitoring model performance, detecting concept drift, and driving continuous improvements.</li><li>
Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.</li><li>
Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.</li><li>
Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.</li><li>
Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.</li></ul></li></ul>
Generative AI &amp; Agentic AI<ul><li><ul><li>
Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.</li><li>
Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.</li><li>
Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.</li><li>
Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.</li><li>
Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.</li><li>
Strong understanding of prompt engineering techniques and LLM optimization.</li><li>
Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.</li><li>
Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.</li></ul></li></ul>
Nice to Have:
Advanced AI &amp; Data Science<ul><li>
Reinforcement Learning (RL)</li><li>
Optimization techniques, including single-objective and multi-objective optimization</li><li>
Stochastic Local Search methods</li><li>
Knowledge Graphs and Graph Machine Learning.</li></ul>
Cloud &amp; Data Engineering<ul><li>
Experience building large-scale data pipelines on Azure, AWS, or GCP.</li><li>
Experience with Databricks and Apache Spark.</li><li>
Experience with distributed data processing architectures.</li></ul>
Leadership &amp; Consulting<ul><li>
Experience leading AI initiatives and technical strategy.</li><li>
Experience working directly with international clients and stakeholders.</li><li>
Experience defining AI architecture, standards, and best practices across teams.</li></ul> 

Benefits 
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Lead Data Scientist - AI & Machine Learning

Nextcare

<div>
 
 Job Overview
 
 
 
 The Team Leader will oversee a dual function team supporting Pulse training and medical coding across the MEA region. This role combines operational leadership, stakeholder management, and technical oversight of both Pulse training and medical coding quality.
 
 
 Based in Cairo, the Team Leader will manage a team of platform trainers responsible for onboarding and upskilling providers on Pulse, alongside medical coders who ensure accurate and compliant medical coding services. The role requires a balance of people leadership, process optimisation, and regional coordination to ensure high service quality, regulatory compliance, and continuous improvement in provider experience and coding accuracy.
 
 
 
 What You Do
 
 
 
 Responsibilities will include, but are not limited to, the following:
 
 
 
 Team Leadership &amp; Management
 
 
 
 <ul>
 <li>
 Lead, coach and develop a team of platform trainers and medical coders ensuring cross capability amongst team members
 </li>
 <li>
 Set clear performance objectives and monitor KPIs related to training effectiveness, coding accuracy and service delivery
 </li>
 <li>
 Foster a collaborative, high performance team culture across the team
 
 
 </li>
 </ul>
 
 Pulse Training &amp; Support
 
 
 
 <ul>
 <li>
 Oversee delivery of training programs for providers on Pulse
 </li>
 <li>
 Ensure training materials are accurate, up to date and aligned with system enhancements
 </li>
 <li>
 Monitor provider adoption, engagement and feedback to improve training approaches
 
 
 </li>
 </ul>
 
 Medical Coding
 
 
 
 <ul>
 <li>
 Supervise coding activities to ensure accuracy, consistency and compliance with coding standards
 </li>
 <li>
 Implement quality assurance processes, including audits and feedback loops
 </li>
 <li>
 Support resolution of complex coding queries and escalations
 
 
 </li>
 </ul>
 
 Operational Excellence
 
 
 
 <ul>
 <li>
 Drive continuous improvement initiatives across training and coding workflows including the cross training of all staff in the team
 </li>
 <li>
 Identify inefficiencies and implement scalable solutions to enhance productivity and quality
 </li>
 <li>
 Maintain documentation of processes, guidelines and best practices
 
 
 </li>
 </ul>
 
 Stakeholder Management
 
 
 
 <ul>
 <li>
 Collaborate with internal teams including Claims Automation, Quality, Policy Management and others
 </li>
 <li>
 Act as a key point of contact for regional stakeholders
 </li>
 <li>
 Support communication of system updates, code changes and operational impacts
 
 
 </li>
 </ul>
 
 Reporting &amp; Governance
 
 
 
 <ul>
 <li>
 Track &amp; report on key performance indicators, including training outcomes and coding accuracy
 </li>
 <li>
 Ensure compliance with internal policies and external regulatory requirements
 </li>
 <li>
 Provide insights and recommendations to senior management
 </li>
 <li>
 AI READINESS Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.
 
 
 </li>
 </ul>
 At Allianz Partners, Artificial Intelligence (AI) is transforming service delivery and innovation. By leveraging Business Intelligence and Data Analytics, we enhance strategic decision-making and customer experiences. Our commitment to Ethical AI ensures responsible deployment, maintaining data integrity and trust. Conversational AI improves communication, while Emerging Technologies and Generative AI drive industry leadership and new opportunities. With robust Information Security Management, we protect sensitive information, ensuring compliance and security. Embrace the future of AI with Allianz Partners, where possibilities become realities.
 
 
 
 What You Bring
 
 
 
 To be successful in this position you will need to have the following skills / experience:
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Minimum degree level qualification in relevant healthcare or related field
 </li>
 <li>
 Previous experience in medical coding, healthcare operations or medical insurance
 </li>
 <li>
 Strong knowledge of coding standards
 </li>
 <li>
 Previous experience in a leadership or supervisory role
 </li>
 <li>
 Fluency in English and Arabic
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Professional certification in medical coding
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Results driven and pragmatic, focused on achieving measurable outcomes.
 </li>
 <li>
 Confident communicator and facilitator, able to build trust across diverse stakeholder groups.
 </li>
 <li>
 Collaborative and resilient, thriving in a dynamic and fast moving environment.
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 
 
 Agency Statement
 
 
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.
 
 
 
 
 What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance. Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care.
 
 
 97278 | Project Management | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz&lsquo; company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
</div>

Team Lead - Pulse & Medical Coding

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