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Gulf University Bahrain

Job ProfileJob titleAI Solutions EngineerUnit name: Digital Transformation CenterReports to: Director of Digital Transformation Center &amp; IT ManagerIntroduction: Gulf University is a nationally accredited University which was established by his highness&rsquo;s the prime minister&rsquo;s cabinet decree number 1649-03 issued on the 2nd of September 2001. GU aims to establish itself as a distinguished provider of higher education that will appeal to international, Bahraini and GCC students who prefer to be educated in a cultural environment acceptable to parents, students, and labor market alike.IT Department is ensuring properly functioning and configured network devices, computers, secure access to facilities provided by the servers, such as applications and data storage areas, access to the systems, internet, and e-mail.Job Overview: We are seeking a highly skilled AI Solutions Engineer with strong expertise in AI development, automation systems, machine learning, LLM applications, and engineering‑based implementation of AI solutions. The candidate will lead all university AI projects end‑to‑end, including design, development, integration, training, and deployment.1. Required Qualifications and Experience: &middot; Bachelor&rsquo;s degree in computer science, engineering, AI, Data Science, or a related field (or equivalent work experience).&middot; Proven hands-on experience as a senior developer, with at least 4-5 years of AI development experience, server management, and Git version control system.&middot; Expertise in Python, machine learning frameworks (TensorFlow, PyTorch), n8n, LLM platforms, OpenAI, Azure AI, Google Vertex AI, or similar.&middot; Experience deploying AI models using Docker/Kubernetes.&middot; Solid understanding of API integration, including RESTful and SOAP APIs.&middot; Proficiency in Azure DevOps for project management and continuous integration/continuous deployment (CI/CD) pipelines.&middot; High commitments in deadline management and prioritization in a fast-paced environment.&middot; Advanced knowledge of database design principles, complex query optimization, and performance tuning.&middot; Familiarity with reporting tools and techniques for generating dashboards, actionable insights from data.&middot; Excellent communication skills and the ability to collaborate effectively with cross-functional teams.&middot; Demonstrated leadership abilities and experience mentoring junior developers.&middot; Strong attention to detail and a commitment to delivering high-quality code.2. Preferred qualifications and experience&middot; Master&rsquo;s / Bachelor&rsquo;s degree in computer science, engineering, or a related field.&middot; Certifications in relevant technologies such as AI, Clouds, Laravel, Azure, or Git.&middot; Experience with containerization technologies such as Docker and Kubernetes.&middot; Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).&middot; Previous experience working on AI-driven projects or applications.&middot; Contributions to open-source projects or participation in developer communities.3. Required Skills: &middot; AI/ML development: Understanding of artificial intelligence concepts and their applications in backend development. Awareness of machine learning algorithms and frameworks.&middot; Generative AI and LLM pipelines: Ability to build and deploy AI solutions using large language models (LLMs) for tasks such as text generation, automation, intelligent search, and RAG-based systems.&middot; Cloud AI platforms: Experience using cloud AI services (Azure AI, Vertex AI, AWS SageMaker) to train, deploy, and manage AI models securely and at scale.&middot; Automation and workflow optimization: Skilled in automating university processes, integrating systems, and creating efficient workflows that reduce manual work and improve operational performance.&middot; Git Version Control System: In-depth understanding of Git version control system for codebase management, collaboration, and version tracking.&middot; API Integration: Demonstrated expertise in integrating third-party APIs and services, including RESTful and SOAP APIs, to enhance system functionality and interoperability.&middot; Azure DevOps: Hands-on experience with Azure DevOps for project management, continuous integration, and deployment pipelines.&middot; Projects &amp; Deadline Management: Strong ability to manage project timelines effectively, prioritize tasks, and deliver high-quality code within specified deadlines.&middot; Complex Database Queries: Proficient in developing and optimizing complex database queries for efficient data retrieval and manipulation.&middot; Dashboards &amp; Reports: Experience in generating insightful reports and dashboards to provide stakeholders with valuable insights.&middot; Communication and Collaboration: Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including front-end developers, UX/UI designers, and stakeholders.&middot; Leadership and Mentorship: Demonstrated leadership abilities and experience mentoring junior developers, providing guidance on best practices, coding standards, and emerging technologies.Job Type: Full-timeWork Location: In person

AI Solutions Engineer

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Bahrain
 
 , we are looking for an experienced
 
 AI/ML Specialist (Engineer &ndash; Data Platform)
 
 . This role is focused on designing, developing, and deploying advanced machine learning solutions to support digital transformation initiatives in the banking sector. The successful candidate will bring deep expertise in ML, NLP, cloud AI platforms, and MLOps, with a strong background in financial services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 <ul>
 <li>
 Design and develop ML models for banking use cases (fraud detection, credit scoring, churn prediction, personalization).
 </li>
 <li>
 Collaborate with data engineers to prepare and preprocess data.
 </li>
 <li>
 Evaluate and optimize models for accuracy, precision, and recall.
 </li>
 <li>
 Deploy models using MLOps frameworks and CI/CD pipelines.
 </li>
 <li>
 Ensure explainability, compliance, and auditability of models.
 </li>
 </ul>
 
 
 
 
 
 Core AI/NLP Engineering
 
 
 <ul>
 <li>
 Work with Python frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude).
 </li>
 <li>
 Fine-tune LLMs (LoRA, PEFT, prompt tuning).
 </li>
 <li>
 Implement RAG pipelines and vector databases (Pinecone, FAISS, Weaviate, Chroma).
 </li>
 <li>
 Apply prompt engineering and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
 </li>
 </ul>
 
 
 
 
 
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 Develop APIs (RESTful, GraphQL), webhooks, and microservices.
 </li>
 <li>
 Containerize and deploy applications (Docker, Kubernetes).
 </li>
 <li>
 Integrate with enterprise systems (SharePoint, Salesforce, SQL).
 </li>
 </ul>
 
 
 
 
 
 Agent Orchestration &amp; Conversational AI
 
 
 <ul>
 <li>
 Utilize agent frameworks (LangGraph, AutoGen, CrewAI, Flowise).
 </li>
 <li>
 Design conversational UX with frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress).
 </li>
 <li>
 Conduct A/B testing and optimize user satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Infrastructure
 
 
 <ul>
 <li>
 Build pipelines with Airflow, dbt, Kafka.
 </li>
 <li>
 Manage feature stores and model registries (MLflow, Kubeflow).
 </li>
 <li>
 Monitor models for drift and performance issues.
 </li>
 </ul>
 
 
 
 
 
 Governance, Security &amp; Compliance
 
 
 <ul>
 <li>
 Conduct bias/fairness audits.
 </li>
 <li>
 Ensure compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations.
 </li>
 <li>
 Implement secure logging and audit trails.
 </li>
 </ul>
 
 
 
 
 
 Product Strategy &amp; Business Alignment
 
 
 <ul>
 <li>
 Translate business problems into AI use cases.
 </li>
 <li>
 Define KPIs (accuracy, ROI, user satisfaction).
 </li>
 <li>
 Manage vendors and drive adoption of AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s Degree in Computer Science (BE in Computer Science &amp; Engineering).
 </li>
 <li>
 
 Experience:
 
 7&ndash;10 years in AI/ML engineering, preferably in banking and IT transformation.
 </li>
 <li>
 
 Professional Training:
 
 Machine Learning, Deep Learning, MLOps, AI in Financial Services.
 </li>
 <li>
 
 Certifications:
 
 </li>
 <li>
 Google Professional ML Engineer
 </li>
 <li>
 Microsoft AI Engineer Associate
 </li>
 <li>
 TensorFlow Developer Certificate
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 </ul>
 
 
 
 
 Skills &amp; Competencies
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Statistics &amp; Finance knowledge
 </li>
 <li>
 Data Preprocessing &amp; Feature Engineering
 </li>
 <li>
 Model Deployment &amp; MLOps
 </li>
 <li>
 Cloud AI Platforms (Azure ML, AWS SageMaker, Vertex AI)
 </li>
 <li>
 Explainable AI (XAI) &ndash; SHAP, LIME
 </li>
 <li>
 Statistical Analysis
 </li>
 <li>
 Business Problem Solving
 </li>
 </ul>
 
 
</div>

AI/ ML Specialist

ALGhad Training Institute

<div>
 
 
 Company Description
 
 
 
 ALGhad Training Institute (GTI) is a private training center incorporated in the Kingdom of Bahrain with a vision to create real opportunities for Bahraini's to enter and grow in the work force.
 
 
 
 
 
 The institute provides various training programs in the areas of Engineering, Business Administration, IT, Communication skills, etc. We offer global professional certificates from prestigious institutions in the United States and United Kingdom such as Cisco, Microsoft, CompTIA, Autodesk, Bentley, CII, IAB and more.
 
 
 
 
 
 
 Our programs are suitable for employees, job seekers, undergraduates, and high school graduates.
 
 
 
 
 
 
 
 Role Description
 
 
 
 This is a rate based on-site role for an Artificial Intelligence Engineer (AiE) from ARTiBA Instructor at ALGhad Training Institute, located in Capital Governorate, Bahrain. The instructor will be responsible for delivering in-depth and engaging training sessions on AI-related topics, guiding learners through theoretical concepts and practical applications. Responsibilities include preparing training materials, staying updated on advancements in AI, and tailoring instruction methods to meet diverse learning needs.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Solid understanding of Pattern Recognition, Neural Networks, and Natural Language Processing (NLP)
 </li>
 <li>
 Proficiency in Computer Science principles and Software Development
 </li>
 <li>
 Strong instructional and communication skills to deliver technical content effectively
 </li>
 <li>
 Experience in managing diverse classroom environments and fostering learner engagement
 </li>
 <li>
 Educational degree or certification in AI, Computer Science, or a related field is highly advantageous
 </li>
 <li>
 Previous teaching or training experience in AI or related domains is a plus
 </li>
 </ul>
</div>

Bahraini Instructor (Morning) - Artificial Intelligence Engineer (AiE) from ARTiBA

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 We are hiring a Cloud Support Engineer to deliver an outstanding technical support experience on the full cloud technical stack at Canonical. Combine your Linux support and software engineering skills, passion for technology, and your general knowledge of the full stack, from hardware to application, networking, Linux and open source, to help customers get the most from their solution from Canonical. Our team provides exceptional technical support and engineering solutions to help customers with everything open source from Ubuntu Server and Desktop to OpenStack and Kubernetes. This is an exceptional opportunity for an open source technologist who enjoys solving problems under pressure. If you have a passion for the latest open source technologies, technical support, cloud-native development, data-center technologies such as OpenStack, Kubernetes and networking, you will love the Cloud Support Engineer role at Canonical.
 
 
 
 Location:
 
 This role is office-based in Riyadh, Saudi Arabia. Candidates must be based there or have the ability to relocate.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Apply your knowledge of Linux virtualisation using Libvirt/KVM, containers and Kubernetes along with your knowledge of TCP/IP networking to support customised solutions for our customers.
 </li>
 <li>
 Be the technical authority and demonstrate your experience with popular open source software such as PostgreSQL, Corosync/Pacemaker, MongoDB, MySQL and Apache.
 </li>
 <li>
 Provide advice on deployed architecture, implementing solutions for complex problems and guiding customers to successful data-center infrastructure operations
 </li>
 <li>
 Communicate regularly with the customer team about ongoing issues
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Hands-on and extensive working experience in:
 </li>
 <ul>
 <li>
 Virtualization / Cloud - primarily using KVM or OpenStack.
 </li>
 <li>
 Containers - especially with Docker, LXD/LXC, or Kubernetes.
 </li>
 <li>
 Storage technologies - block, object and network.
 </li>
 </ul>
 <li>
 Cloud computing expertise in provisioning, monitoring, orchestration, etc.
 </li>
 <li>
 
 Professional experience with OpenStack and/or Ceph is a strong plus
 
 </li>
 <li>
 Open source development or scripting experience
 </li>
 <li>
 Extensive Customer support experience is key:
 </li>
 <ul>
 <li>
 Customer needs are top priority.
 </li>
 <li>
 Communicate professionally, emphatically, clearly and set the right expectations.
 </li>
 </ul>
 <li>
 Ability to travel internationally twice a year for company events up to two weeks long.
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Dedicated Cloud Support Engineer, Saudi Arabia

Sellou

<div>
 About the Job
 
 
 
 
 We are looking for a&nbsp;
 
 Senior Software Engineer
 
 &nbsp;to join our backend team. The ideal candidate is proficient in&nbsp;
 
 TypeScript
 
 , understands&nbsp;
 
 AWS
 
 , and possesses a deep technical curiosity regarding AI backend infrastructure&mdash;from the evolution of MCPs to modern prompt engineering.
 
 
 We need someone with a deep understanding of the&nbsp;
 
 OpenClaw
 
 &nbsp;architecture.
 
 
 
 
 
 You should be adept at navigating complex structural challenges, particularly regarding how systems handle memory and persistent storage.
 
 We want a candidate passionate about OpenClaw is interested in evolving its capabilities.
 
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 <ul>
 <li>
 
 Architect Backend Systems:
 
 &nbsp;Design and maintain robust, scalable, cloud-native backend services using TypeScript.
 </li>
 <li>
 
 OpenClaw Optimization:
 
 &nbsp;Dive deep into the OpenClaw framework to resolve structural bottlenecks and optimize critical components like&nbsp;
 
 heartbeats
 
 .
 </li>
 <li>
 
 Memory Management:
 
 &nbsp;Lead the transition of key data paths from traditional storage to&nbsp;
 
 persistent memory
 
 &nbsp;to drive performance gains.
 </li>
 <li>
 
 Legacy Analysis:
 
 &nbsp;Apply lessons learned from the failure of&nbsp;
 
 MCPs
 
 &nbsp;(Master Control Programs) to ensure our current architecture avoids historical pitfalls.
 </li>
 <li>
 
 Cloud Evolution:
 
 &nbsp;Leverage AWS to build and maintain infrastructure that supports high-concurrency AI workloads.
 </li>
 <li>
 
 AI Integration:
 
 &nbsp;Experiment with and self-host AI tools to optimize internal development workflows and system performance.
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 
 We value technical curiosity and a "builder" mindset over a specific checklist of years, but ideally, you bring the following:
 
 <ul>
 <li>
 
 Deep Backend Expertise:
 
 &nbsp;Proven experience building high-performance distributed systems in a cloud environment (Node.js/TypeScript preferred).
 </li>
 <li>
 
 OpenClaw Mastery:
 
 &nbsp;
 
 Significant experience with OpenClaw, specifically regarding its memory management and structural architecture.
 
 </li>
 <li>
 
 Historical Context:
 
 &nbsp;A strong understanding of the evolution of MCPs, why they failed, and how to apply those lessons to modern systems.
 </li>
 <li>
 
 Systems Optimization:
 
 &nbsp;Experience optimizing low-latency components and moving data across the storage hierarchy (Storage &rarr; Persistent Memory).
 </li>
 <li>
 
 Cloud Proficiency:
 
 &nbsp;Advanced knowledge of&nbsp;
 
 AWS
 
 &nbsp;(EC2, S3, RDS, Lambda) or a demonstrated ability to master complex cloud stacks rapidly.
 </li>
 <li>
 
 AI/LLM Curiosity:
 
 &nbsp;A track record of experimenting with AI tools, such as self-hosting local models or using AI to automate system optimizations.
 </li>
 <li>
 
 Problem Solver:
 
 &nbsp;A "tinkerer" spirit&mdash;someone who runs a home lab or contributes to open-source projects in their spare time.
 </li>
 </ul>
</div>

Full Stack Developer - OpenClaw

Oracle

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

Senior AI Architect - GenAI, LLMs & AI Agents

Nextcare

<div>
 
 
 Key Responsibilities
 
 /What You Do
 
 
 
 <ul>
 <li>
 Consistently checks, tracks and filing of all claims received.
 </li>
 <li>
 Data entry into company database
 </li>
 <li>
 Validating all received &amp; scanned claims against actualised volumes
 </li>
 <li>
 Perform analytical review of documentation received
 </li>
 <li>
 Ensures that there is a proper documentation, feedback, and endorsement to the concerned unit/department.
 </li>
 <li>
 Timely and precise recording of received claims.
 </li>
 <li>
 Supporting administrative function.
 </li>
 <li>
 Other Ad hoc duties as required.
 
 
 </li>
 </ul>
 
 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
 
 
 
 Key Requirements/What You Bring
 
 
 
 <ul>
 <li>
 High school diploma or equivalent; Bachelor&rsquo;s degree is advantage
 </li>
 <li>
 1-2 years&rsquo; experience in a customer focused environment, ideally in clinical, paramedical roles or TPA or insurance roles.
 </li>
 <li>
 Proficiency in MS Office
 </li>
 <li>
 A highly customer-focused individual with strong interpersonal, communicative and accuracy skills.
 </li>
 <li>
 Data entry experience would be helpful as it is quite important to be successful for the role
 </li>
 <li>
 Demonstrates excellent attention to detail, accuracy, and the ability to meet strict deadlines
 </li>
 <li>
 Ability to multitask, prioritize and work independently or within a team environment.
 </li>
 <li>
 Organizational skills
 </li>
 <li>
 Team player
 </li>
 <li>
 Physically fit to carry out duties.
 </li>
 <li>
 Ability to demonstrate sounds work ethics.
 </li>
 <li>
 Ability to work under pressure and manage time effectively
 </li>
 <li>
 Legally permitted to work in the country of operations.
 
 
 </li>
 </ul>
 
 How we hire
 
 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.
 
 
 
 Key Benefits/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. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.
 
 
 We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.
 
 
 We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 At Allianz Partners, AI is revolutionizing customer service and claims management through innovative solutions. These AI-driven tools enhance productivity by streamlining complex claims processes, reducing administrative burdens, and accelerating resolution times. Our AI-powered technology has made claims processing faster, offering quicker resolutions. All while ensuring human oversight for claims to maintain service integrity. By embracing AI and Emerging Technologies, Allianz Partners continues to lead the industry, meeting ever-changing customer needs with innovative solutions. Our commitment to Ethical AI practices safeguards data integrity and trust, ensuring responsible deployment across all operations. This approach not only enhances customer experiences but also supports strategic initiatives like fraud detection and personalized product offerings, solidifying Allianz Partners' position as a leader in the insurance sector.
 
 
 Great to have you on board. Let's care for tomorrow.
</div>

Claims Administrator

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