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Seeniun Properties LLC

Company: Seeniun Properties LLCDubai, UAEFull-Time | On-siteSalary: AED 20,000+ per month (based on experience)About UsSeeniun Properties is a Dubai-based real estate company building practical AI-powered systems to improve business operations, client communication, and workflow efficiency. We are expanding our AI solutions capability and are looking for a strong technical professional to support deployment, troubleshooting, and long-term system performance.Role OverviewWe are hiring an AI Solutions Engineer / AI Agent Support Lead to take ownership of post-sale technical delivery, troubleshooting, after-sales support, and system optimization.This is not a sales role. Our business team will handle client acquisition and closing. Your responsibility begins after the deal is signed: making sure the AI solution is deployed properly, works reliably, and client issues are handled quickly and accurately.Key Responsibilities:<ul><li>Deploy and configure AI agent systems for internal and client projects</li><li>Provide fast and effective after-sales technical support</li><li>Troubleshoot workflow failures, bugs, integration issues, and agent performance problems</li><li>Improve system stability, speed, reliability, and usability</li><li>Support client onboarding, setup, and technical handover</li><li>Translate sold solutions into practical, working systems</li><li>Maintain deployment guides, SOPs, troubleshooting documents, and support notes</li><li>Identify repeated issues and improve the product to reduce support load over time</li><li>Help scale internal AI systems into repeatable client-ready solutions</li></ul>Requirements:<ul><li>Proven experience with AI agents, automation systems, or AI-powered business workflows</li><li>Strong hands-on skills in Python, APIs, integrations, and debugging</li><li>Ability to solve problems quickly and accurately in live business environments</li><li>Experience supporting deployed systems, not just building prototypes</li><li>Strong communication skills in English</li><li>Good documentation and organizational skills</li><li>High sense of ownership, urgency, and accountability</li><li>Ability to work on-site in Dubai Preferred</li><li>Experience in real estate, proptech, CRM automation, or operations automation</li><li>Familiarity with LLM workflows, LangChain, AutoGen, multi-agent systems, or similar tools</li><li>Experience with cloud deployment, Docker, and workflow automation platforms</li><li>Familiarity with WhatsApp/chat-based automation or client-facing AI workflows</li><li>Understanding of UAE / Dubai operational business needs</li></ul>What Success Looks Like?<ul><li>Client projects are deployed smoothly after sale</li><li>Technical issues are resolved fast and correctly</li><li>Clients feel supported and confident using the system</li><li>AI workflows become more stable, scalable, and easier to maintain</li><li>The business can confidently sell more AI solutions because delivery quality is strong Ideal Candidate</li></ul>How to Apply? <ul><li>If you have experience building and supporting AI systems in real business environments, apply here or email us as hr@seeniunproperties.com</li></ul>Pay: AED20,000.00 per monthWork Location: In person

AI Solutions Engineer / AI Agent Support Lead

PureCS

<div>
 
 
 About Us:
 
 
 
 
 
 
 Pure Health is the UAE&rsquo;s largest integrated healthcare platform, committed to elevating the nation&rsquo;s health standards through innovation, technology, and operational excellence. PureCS operates as a key technology and procurement arm within the Pure Health ecosystem, driving digital infrastructure, systems optimisation, and strategic sourcing initiatives that support large-scale national projects.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are seeking a seasoned Microservices Architect with extensive experience in designing and implementing distributed systems. The ideal candidate will have deep expertise in microservices architecture, API design, containerization, cloud-native solutions. This role requires strong leadership, hands-on technical skills, and the ability to guide teams in building scalable, secure, and resilient applications. The ideal candidate must have hands-on experience with modern AI orchestration frameworks and scalable system design.
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and implement microservices-based architectures for large-scale enterprise applications.
 </li>
 <li>
 Define API standards, communication protocols (REST, gRPC), and service contracts.
 </li>
 <li>
 Lead migration from monolithic systems to microservices, ensuring minimal downtime and data integrity.
 </li>
 <li>
 Architect containerized solutions using Docker and Kubernetes, including Helm for deployment
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks (e.g., CrewAI, Microsoft AutoGen, or Semantic Kernel).
 </li>
 <li>
 Implement observability practices including logging, metrics, and distributed tracing (Prometheus, Grafana, OpenTelemetry).
 </li>
 <li>
 Architect scalable solutions for the efficient handling of memory and context window limits, enabling AI agents to reliably maintain short-term state and long-term memory across stateless distributed environments.
 </li>
 <li>
 Ensure security best practices across services (OAuth2, JWT, API Gateway, rate limiting).
 </li>
 <li>
 Collaborate with product owners, developers, and DevOps teams to align architecture with business goals.
 </li>
 <li>
 Mentor engineering teams on microservices principles, domain-driven design, and event-driven architecture.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 12+ years of experience in software development with at least 5 years in microservices architecture.
 </li>
 <li>
 Strong knowledge of distributed systems, service discovery, and API management.
 </li>
 <li>
 Exposure to MLOps and AI system observability.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and Helm for container orchestration.
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks such as CrewAI, Microsoft AutoGen, or Semantic Kernel.
 </li>
 <li>
 Proficiency in designing RESTful and gRPC APIs, and implementing API gateways
 </li>
 <li>
 Enhance information architecture using Knowledge Graphs (e.g., Neo4j, Amazon Neptune, or GraphDB) to improve semantic data retrieval, enrich RAG pipelines, and ground data for use in complex agentic workflows.
 </li>
 <li>
 Hands-on experience with LLM-based applications and agentic frameworks.
 </li>
 <li>
 Expertise in cloud platforms (AWS, Azure, GCP) and cloud-native patterns.
 </li>
 <li>
 Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ), and data consistency strategies.
 </li>
 <li>
 Strong understanding of security, scalability, and fault-tolerance in distributed systems.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Experience with service mesh technologies (Istio, Linkerd).
 </li>
 <li>
 Familiarity with domain-driven design (DDD) and CQRS patterns.
 </li>
 <li>
 Knowledge of advanced observability and chaos engineering practices.
 </li>
 <li>
 Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Ansible).
 </li>
 </ul>
 
 
</div>

Backend Lead - Microservices Architect

Al-Futtaim

<div>
 
 Job Requisition ID:
 
 177488
 
 
 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
 
 
 By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day
 
 
 
 Job Description:
 
 
 
 The Enterprise Architect (EA) will play a critical role in shaping and governing the enterprise-wide technology architecture for the
 
 Property &amp; Casualty (P&amp;C) Insurance business
 
 . This role focuses on
 
 Agentic AI adoption, digital solution architecture, API-first strategy, and core systems modernization
 
 , ensuring alignment between business strategy and technology execution.
 
 
 The EA will act as a strategic partner to business leaders, product teams, and delivery organizations&mdash;driving a
 
 future-ready, AI-enabled, composable insurance architecture
 
 that accelerates time-to-market, improves operational efficiency, and supports new business models.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Enterprise &amp; Domain Architecture (P&amp;C Insurance)
 </li>
 <li>
 Define and maintain the target enterprise architecture for P&amp;C insurance across underwriting, policy administration, claims, billing, reinsurance, and distribution.
 </li>
 <li>
 Develop domain-level reference architectures aligned to business capabilities, value streams, and operating models.
 </li>
 <li>
 Ensure architectural consistency across lines of business while enabling controlled flexibility and innovation.
 </li>
 <li>
 Translate business strategy into clear architectural roadmaps and investment-guiding principles.
 </li>
 <li>
 Agentic AI &amp; Intelligent Automation
 </li>
 <li>
 Define the enterprise architecture for Agentic AI, including autonomous agents, orchestration layers, decision engines, and human-in-the-loop models.
 </li>
 <li>
 Partner with data, AI, and business teams to embed AI agents into core insurance processes (e.g., FNOL, claims handling, underwriting triage, fraud detection, agent assist).
 </li>
 <li>
 Establish guardrails for AI governance, ethics, security, explainability, and regulatory compliance.
 </li>
 <li>
 Drive reuse of AI capabilities via platforms, services, and APIs rather than point solutions.
 </li>
 <li>
 Digital &amp; Experience Architecture
 </li>
 <li>
 Architect digital platforms supporting omnichannel experiences for customers, agents, brokers, and partners.
 </li>
 <li>
 Guide the evolution of portals, mobile apps, workflow tools, and low-code/no-code platforms.
 </li>
 <li>
 Ensure digital solutions are scalable, API-driven, event-enabled, and aligned with experience and journey design.
 </li>
 <li>
 API &amp; Integration Strategy
 </li>
 <li>
 Own the API-first and event-driven architecture strategy across the enterprise.
 </li>
 <li>
 Define standards for REST, event streaming, and async integration patterns.
 </li>
 <li>
 Enable ecosystem integration with partners, insurtechs, intermediaries, and regulators.
 </li>
 <li>
 Govern API lifecycle, security, versioning, and developer enablement.
 </li>
 <li>
 Core Systems Modernization
 </li>
 <li>
 Lead architectural strategy for modernizing core P&amp;C systems (policy, claims, billing), including:
 </li>
 <ul>
 <li>
 Legacy decomposition and strangler patterns
 </li>
 <li>
 SaaS / packaged core platforms
 </li>
 <li>
 Microservices and composable architectures
 </li>
 </ul>
 <li>
 Ensure coexistence and transition strategies between legacy and modern platforms.
 </li>
 <li>
 Balance technical modernization with business continuity and regulatory obligations.
 </li>
 <li>
 Architecture Governance &amp; Delivery Enablement
 </li>
 <li>
 Establish and lead architecture governance, including standards, principles, and design reviews.
 </li>
 <li>
 Work closely with product owners, engineers, and delivery teams to ensure architecture is executable.
 </li>
 <li>
 Provide architectural decision support for major initiatives, vendor selections, and investment cases.
 </li>
 <li>
 Act as a technology thought partner for senior leadership and transformation programs.
 
 
 </li>
 </ul>
 
 Required Skills To Be Successful
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 12+ years of experience in enterprise or solution architecture roles.
 </li>
 <li>
 Strong experience in P&amp;C insurance (carrier-side preferred).
 </li>
 <li>
 Proven track record in large-scale digital transformation and core modernization.
 </li>
 <li>
 Hands-on experience with API platforms, integration architecture, and cloud-native designs.
 </li>
 <li>
 Solid understanding of AI/ML architectures, with practical exposure to intelligent automation or agent-based systems.
 
 
 </li>
 </ul>
 
 Technical Knowledge
 
 
 
 <ul>
 <li>
 Enterprise architecture frameworks (e.g., TOGAF, ArchiMate).
 </li>
 <li>
 Cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Microservices, event-driven architectures, and integration middleware.
 </li>
 <li>
 Core insurance platforms and ecosystem tooling.
 </li>
 <li>
 Data, AI, and analytics platforms (conceptual and architectural depth).
 
 
 </li>
 </ul>
 
 What Equips You For The Role
 
 
 
 
 Desired Attributes
 
 
 
 <ul>
 <li>
 Strategic thinker with strong business&ndash;technology translation skills.
 </li>
 <li>
 Comfortable influencing senior stakeholders without direct authority.
 </li>
 <li>
 Pragmatic, outcome-oriented architect&mdash;not ivory-tower.
 </li>
 <li>
 Strong communication and storytelling skills, especially for executives.
 </li>
 <li>
 Passion for AI-enabled transformation and future insurance models.
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Clear, actionable enterprise and domain architectures aligned to business strategy.
 </li>
 <li>
 Scalable adoption of Agentic AI across core insurance processes.
 </li>
 <li>
 API-driven, composable architecture enabling speed and ecosystem integration.
 </li>
 <li>
 Controlled modernization of legacy cores with measurable business impact.
 </li>
 <li>
 Architecture seen as an enabler of value, not a constraint.
 
 
 </li>
 </ul>
 
 About Orient Insurance PJSC
 
 
 
 Orient Insurance Company commenced operations in 1982 as a part of the reputed Al-Futtaim Group and has since recorded a progressively steady growth. The Company is counted among the leaders in the UAE insurance market. Orient Insurance Company has a paid-up capital of AED 500 Million which is the highest in the insurance industry in UAE. With head office in Dubai, the company serves its clientele through an extensive branch network in Jebel Ali, Abu Dhabi, Al Ain, Sharjah and Ras Al Khaimah in UAE, Muscat in Sultanate of Oman, Riyadh in Kingdom of Saudi Arabia and Bahrain.
</div>

Enterprise Architect - P&C Insurance I Dubai I Financial Services I Orient Insurance PJSC

Nebius

<div><div>About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.</div><h3 class="jobSectionHeader">
The role</h3>

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across the UAE and the broader region. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments. 
 
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius' value proposition and differentiate our platform in a competitive market. 
 
You're welcome to work remotely from the UAE.

Your responsibilities will include:
<ul>
<li>Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness</li>
<li>Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams</li>
<li>Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments</li>
<li>Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions</li>
<li>Translate customer requirements into scalable, production-ready architectures and best practices</li>
<li>Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap</li>
<li>Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy</li>
<li>Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation</li>
<li>Contribute to building repeatable technical playbooks and assets for the MEA market</li>
</ul>
We expect you to have:
<ul>
<li>2&ndash;5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure</li>
<li>Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution</li>
<li>Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences</li>
<li>Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments</li>
<li>Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements</li>
<li>Experience with cloud platforms, Kubernetes, and distributed systems</li>
<li>Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)</li>
<li>Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments</li>
<li>Deep understanding of the MEA market, including customer expectations, buying behaviors, and local ecosystem</li>
<li>Fluency in Arabic and English preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders</li>
<li>A highly customer-centric mindset, with the ability to balance technical depth and business value</li>
</ul>
It will be an added bonus if you have:
<ul>
<li>Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)</li>
<li>Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)</li>
<li>Familiarity with HPC environments and schedulers (e.g., Slurm)</li>
<li>Experience contributing to regional go-to-market or developer/community initiatives</li>
</ul><div>
Benefits &amp; Perks:
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and work-life balance</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
</ul>
What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.</div></div>

Principal Solutions Architect - Middle East

<div><div>We help the world run better 
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><div> 
What you'll build:</div> 
<div></div><ul><li>
In this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought.</li><li>
You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls.</li><li>
You&rsquo;ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution.</li><li>
Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.</li></ul><div></div><div> 
What you bring:</div> 
<div></div><ul><li>
You bring deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms</li><li>
You have a strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities</li><li>
You have experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks</li><li>
You are skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services</li><li>
You have strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering</li><li>
You have experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development</li><li>
You bring a strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions</li><li>
You evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs</li><li>
You have knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption</li><li>
You have experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas</li><li>
You communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders</li></ul><div></div><div> 
About You:</div> 
<div></div><ul><li>
You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes</li><li>
You are a technical leader who influences without authority and drives alignment across teams and organizations</li><li>
You are passionate about building robust, extensible systems that stand the test of time</li><li>
You stay current with emerging technologies, particularly in AI, cloud, and distributed systems</li></ul><div></div><div> 
Where you belong:</div><div></div><div> 
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</div><div>
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</div><div></div><div> 
About the team</div><div>
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.</div><div>
#LI-LP1</div><div> 
Bring out your best 
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.
 
 
We win with inclusion 
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. 
 
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. 
 
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. 
 
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. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</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>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450270 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Architect

<div><div>We help the world run better 
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> 
What you&rsquo;ll build
In this role, you'll lead the design and delivery of production-grade ML and generative AI systems that solve complex product and business problems at scale. You'll own architecture and implementation across data pipelines, feature stores, training workflows, model-serving infrastructure, online experimentation, and observability.
You'll drive advanced use cases across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and LLM applications, including RAG, tool use, evaluation harnesses, and safety controls. Your work will directly shape performance, reliability, latency, and cost efficiency in live environments. You&rsquo;ll guide technical direction on topics such as model selection, distributed training and inference, GPU utilization, model compression, prompt and retrieval optimization, drift detection, retraining strategy, and responsible AI controls. You&rsquo;ll mentor other engineers and turn best practices into reusable patterns and platform capabilities. 
What you bring:<ul><li>
You bring expert-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go, enabling you to build scalable, production-grade systems
</li><li>You have deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems
</li><li>You have extensive experience designing and operating end-to-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management
</li><li>You bring strong hands-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit-learn), including fine-tuning, evaluation, orchestration, and model serving
</li><li>You have practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails
</li><li>You bring deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation
</li><li>You have a strong architectural understanding of distributed systems, event-driven services, streaming data, and cloud-native ML platforms, with the ability to optimize for performance, scalability, reliability, and cost
</li><li>You define robust evaluation and governance strategies, including offline benchmarking, online experimentation, hallucination analysis, model risk assessment, and responsible AI practices</li></ul> 
About You<ul><li>
You bring 7-9+ years of experience in software engineering and machine learning, with a track record of leading and delivering complex, production-scale AI systems</li><li>
You combine strong product judgment with technical depth, translating ambiguous business problems into scalable, high-impact AI solutions
</li><li>You thrive in complex, fast-moving environments and bring clarity, ownership, and strategic thinking to drive long-term platform success</li></ul> 
Where you belong:
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.
#LI-LP1<div> 
Bring out your best 
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.
 
 
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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. 
 
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Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</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>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450236 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Senior Machine Learning Engineer

Skillzone Institute LLC

Job Title: Lead AI &amp; Automation Engineer (Corporate Trainer)Location: Dubai, UAE (Mainland / On-site)Reporting to: Managing Director / CEO1. Core MissionTo develop and deliver industry-leading training programs that go beyond theory. You will teach students and corporate clients how to &quot;AI-fy&quot; every aspect of their business&mdash;from coding and data analysis to automated customer journeys&mdash;ensuring they save at least 40% of their operational time through technology.2. Technical Knowledge &amp; &quot;Must-Know&quot; ProgrammingThe candidate must be proficient in the following languages and frameworks to lead your &quot;Technical Skills&quot; permit category:<ul><li>Primary Language: Python (Expert level). Must be able to teach libraries like Pandas, NumPy, Scikit-learn, and PyTorch for data automation.</li><li>Web &amp; Automation: JavaScript/TypeScript. Essential for teaching web scraping and building custom automation scripts.</li><li>Database: SQL. To teach how AI interacts with large-scale business databases.</li><li>Low-Code/No-Code: Expert mastery of Zapier, Make.com, and Interakt/WhatsApp API (crucial for your current institute operations).</li></ul>3. &quot;AI in Everything&quot; Usage RequirementsWe are looking for a trainer who uses AI as their &quot;co-pilot&quot; in every task. They must be able to teach:<ul><li>AI for Coding: Using GitHub Copilot or Cursor to refactor and debug code 5x faster.</li><li>AI for Operations: Automating lead follow-ups, invoice generation (QuickBooks/Odoo integration), and CRM updates.</li><li>AI for Content: Advanced Prompt Engineering for high-quality marketing assets and video beat-syncing.</li><li>AI for Analytics: Using LLMs to analyze financial reports and predict business trends.</li></ul>4. Key Responsibilities<ul><li>Syllabus Engineering: Create a 12-week &quot;AI Business Transformation&quot; course for KHDA approval.</li><li>Practical Labs: Set up a &quot;Digital Automation Lab&quot; where students build live bots during class.</li><li>Corporate Consulting: Assist the MD in selling customized AI workshops to Dubai-based SMEs.</li><li>Compliance: Ensure all curriculum aligns with the Dubai Economic Agenda (D33) and the UAE AI Strategy 2031.</li></ul>5. Candidate Requirements (The &quot;KHDA Filter&quot;)<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science or Software Engineering (Must be MOFA Attested).</li><li>Teaching Portfolio: Proven track record of training groups of 20+ professionals.</li><li>UAE Context: Familiarity with the Dubai regulatory landscape and local business culture.</li><li>The &quot;Demo&quot; Challenge: Candidates will be required to build a working automation bot in 30 minutes during the final interview.</li></ul>Job Types: Full-time, Part-time, Contract, Permanent, Temporary Contract length: 12 monthsPay: AED2,500.00 - AED5,500.00 per monthExpected hours: 48 per weekApplication Question(s):<ul><li>Salary Expectation?</li><li>How Soon Can You Join?</li></ul>Work Location: In person

AI lead & automation Trainer

Explore 2096+ Ai solutions engineer ai agent support lead in Dubai this May. Find roles across top companies and apply now to boost your career.