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The Optimal Group

<div>JOB TITLE: AI Architect
LOCATION: Dubai, UAE (On-site / Hybrid)
TYPE: Full-Time
SALARY: AED 25,000 &ndash; 35,000/month (DOE) + Performance Bonus
ABOUT THE ROLE
We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.
KEY RESPONSIBILITIES<ul><li>Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems</li><li>Lead the evaluation, selection, and deployment of AI platforms, models, and tools</li><li>Build and integrate AI solutions into existing infrastructure and business workflows</li><li>Develop frameworks for AI governance, performance monitoring, and continuous improvement</li><li>Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery</li><li>Research emerging AI technologies and provide strategic recommendations</li><li>Ensure all AI systems comply with data security, privacy, and regulatory standards</li><li>Document architecture decisions, system designs, and technical specifications</li></ul>
REQUIREMENTS<ul><li>5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role</li><li>Proven experience designing and deploying production-grade AI systems</li><li>Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)</li><li>Hands-on experience with LLMs, RAG systems, and agentic AI frameworks</li><li>Cloud architecture experience: AWS, Azure, or GCP</li><li>Experience with API integration, microservices, and scalable system design</li><li>Strong commercial awareness &mdash; you understand how AI translates to business value</li><li>Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders</li></ul>
NICE TO HAVE<ul><li>Experience in property, construction, or facilities management sectors</li><li>Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)</li><li>UAE residency or existing Dubai visa</li><li>Arabic language skills (not essential)</li></ul>
WHAT WE OFFER<ul><li>Competitive tax-free salary: AED 25,000 &ndash; 35,000/month</li><li>Performance-based bonus</li><li>High-autonomy role with direct access to senior leadership</li><li>Fast-moving, execution-focused environment</li><li>Opportunity to build and own the AI function from the ground up</li></ul></div>

AI Architect

GIG Gulf

<div>
 
 
 Who we are:
 
 
 
 GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 
 
 
 
 
 GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 
 
 
 
 
 GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way
 
 .
 
 
 
 
 
 
 
 Job purpose:
 
 
 
 As a Cloud and AI Architect, you will work closely with business and IT stakeholders to:
 
 <ul>
 <li>
 define and evolve enterprise cloud and AI architecture standards, patterns, and guardrails
 </li>
 <li>
 lead pilots, POCs and exploration of new innovative solutions, practices and patterns
 </li>
 <li>
 design and deliver cloud‑based and AI‑enabled solutions that are secure, scalable, and fit for purpose
 </li>
 <li>
 actively contribute to the organization&rsquo;s cloud and AI roadmap and delivery priorities, ensuring alignment with business outcomes, regulatory requirements, and operational realities
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:
 
 
 Architecture
 
 <ul>
 <li>
 Lead the definition and maintenance of enterprise cloud and AI architectures, standards, and target‑state roadmaps
 </li>
 <li>
 Ensure cloud and AI architecture are aligned with business strategy, regulatory constraints, and enterprise architecture including multi-country hosting
 </li>
 <li>
 Contribute to IT strategy and planning activities covering cloud platforms, automation and AI capabilities
 </li>
 <li>
 Support evaluation, selection, and evolution of cloud services, AI platforms, and strategic technology partners
 </li>
 </ul>
 
 
 
 
 Cloud &amp; AI Platform Leadership
 
 <ul>
 <li>
 Define architectural patterns for supporting core systems, digital channels, integrations, analytics, and AI‑enabled use cases
 </li>
 <li>
 Design cloud foundations that are AI‑ready, including data, integration, security, and automation layers
 </li>
 <li>
 Ensure consistency, reuse, and simplicity across solutions, avoiding fragmented or ad‑hoc implementations
 </li>
 <li>
 Work closely with information security, business continuity, operations and platform teams to embed governance, security and control requirements
 </li>
 </ul>
 
 
 
 
 Technical Leadership
 
 
 Strong technical leader with broad and in-depth understanding of:
 
 <ul>
 <li>
 Public cloud platforms (AWS and/or Azure)
 </li>
 <li>
 Cloud‑native architecture patterns, automation, and solutions
 </li>
 <li>
 AI and machine‑learning solution patterns, including generative (LLM, SLM etc.) and agentic AI (RAG, vector datastores, memory, cognitive reasoning etc.) working knowledge (desirable)
 </li>
 <li>
 Secure design principles, identity and access management, and regulatory considerations relevant to insurance
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Technical Responsibilities:
 
 
 
 
 Cloud &amp; AI Architecture
 
 
 <ul>
 <li>
 Function as an active, hands‑on Cloud and AI Architect for enterprise initiatives:
 </li>
 <li>
 Define and maintain cloud and AI architecture frameworks, design guidelines, and reference patterns
 </li>
 <li>
 Design cloud architectures for solutions, including core applications, data platforms, and AI‑enabled services
 </li>
 <li>
 Design architecture that supports AI workloads including (desirable):
 </li>
 <li>
 Secure integration of AI services with enterprise data
 </li>
 <li>
 Patterns for AI‑enabled automation and decision support
 </li>
 <li>
 Controlled use of foundation or public models where approved
 </li>
 <li>
 Lead pilots, proofs of concepts and controlled trials to explore emerging cloud, automation and AI technologies
 </li>
 </ul>
 
 
 
 
 
 Tangible Outcomes &amp; Delivery Focus
 
 
 <ul>
 <li>
 Maintain a strong delivery and results orientation:
 </li>
 <li>
 Contribute to the cloud and AI roadmap aligned to business priorities and delivery plans
 </li>
 <li>
 Support and guide implementation of cloud solutions on AWS and/or Azure
 </li>
 <li>
 Guide teams on cloud‑native design, automation, and deployment practices
 </li>
 <li>
 Ensure solutions are production‑ready, cost‑aware, documented, and operationally supported
 </li>
 </ul>
 
 
 
 
 
 Governance &amp; Security
 
 
 <ul>
 <li>
 Define architectural guardrails, including:
 </li>
 <li>
 Data access, privacy, and residency controls across cloud platforms
 </li>
 <li>
 Ensure solutions align with security standards, regulatory and operational requirements
 </li>
 <li>
 Embed FinOps principles into cloud architecture to ensure cost transparency, accountability and optimization
 </li>
 <li>
 Responsible and compliant use of AI and generative AI services
 </li>
 <li>
 Integration patterns for AI‑enabled workflows and services
 </li>
 <li>
 Support controlled evaluation and adoption of AI technologies, avoiding unmanaged experimentation
 </li>
 </ul>
 
 
 
 
 
 Communication &amp; Stakeholder Engagement
 
 
 <ul>
 <li>
 Prepare clear and structured architecture proposals, options, and decision papers
 </li>
 <li>
 Communicate architectural choices and tradeoffs to both technical and non‑technical stakeholders
 </li>
 <li>
 Provide practical recommendations focused on business outcomes, risk, and sustainability
 </li>
 <li>
 Promote collaboration, reuse, and shared ownership across delivery teams
 </li>
 </ul>
 
 
 
 
 
 Quality &amp; Operational Excellence
 
 
 <ul>
 <li>
 Ensure high‑quality design, testing, and operational readiness of cloud and AI solutions
 </li>
 <li>
 Support incident, problem, and root‑cause analysis related to cloud platforms
 </li>
 <li>
 Track and follow up on technical issues to ensure timely resolution and continuous improvement
 </li>
 </ul>
 
 
 
 
 
 People Leadership (Where Applicable)
 
 
 <ul>
 <li>
 Support onboarding and development of cloud operations and AI engineers
 </li>
 <li>
 Provide technical coaching, design reviews, and mentoring
 </li>
 <li>
 Encourage knowledge sharing, standards adoption, and disciplined architectures practices
 </li>
 <li>
 Foster a collaborative culture aligned with organizational values and delivery commitments
 </li>
 </ul>
 
 
 
 
 
 Business / Domain knowledge requirements (desirable)
 
 
 <ul>
 <li>
 Knowledge of Health Data industry
 </li>
 <li>
 Basic knowledge of the insurance business
 </li>
 <li>
 Basic understanding of market practices/business processes
 </li>
 <li>
 Understanding of regulatory challenges, including compliance, data privacy and residency
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Technical Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, Information Systems, or a related field
 </li>
 <li>
 Cloud or architecture certifications (AWS, Azure or equivalent) are preferred but not mandatory where practical experience is demonstrated
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 6&ndash;10 years of overall experience in enterprise technology or architecture roles
 </li>
 <li>
 Minimum 4&ndash;6 years of hands‑on experience in cloud architecture across AWS and/or Azure
 </li>
 <li>
 Demonstrated experience designing and governing production cloud systems
 </li>
 <li>
 Experience in regulated environments (insurance, financial services, healthcare) is preferred
 </li>
 </ul>
 
 
 
 
 
 Core Skills
 
 
 <ul>
 <li>
 Cloud architecture (AWS and/or Azure): Ability to design scalable, secure and resilient cloud platforms supporting enterprise solutions
 </li>
 <li>
 Solution architecture: Proven experience defining architecture reference designs, and target‑state
 </li>
 <li>
 Security &amp; governance: Strong grounding in secure‑by‑design principles, identity, access control, data protection, and compliance
 </li>
 <li>
 Proofs of concept: Hands on experience in structured PoCs and technology evaluations with clear outcomes and decisions
 </li>
 <li>
 AI‑enabled Architectures (
 
 desirable
 
 ) &ndash; Hands on experience enabling AI/ML and GenAI use cases through data foundations, including exposure to LLM‑based solutions, RAG patterns, and vector‑based retrieval where applicable
 </li>
 <li>
 AI &amp; GenAI integration (
 
 desirable
 
 ): Hands-on experience architecting AI or GenAI solutions integrated with enterprise data and systems
 </li>
 </ul>
 
 
 
 
 
 Collaboration
 
 
 <ul>
 <li>
 Strong stakeholder management skills across business, IT, and control functions
 </li>
 <li>
 Ability to communicate architectural decisions clearly
 </li>
 <li>
 Comfortable working in a high‑demand, delivery‑oriented environment
 </li>
 </ul>
 
 
 
 
 
 Communication and Soft Skills
 
 
 <ul>
 <li>
 Excellent communication skills in English, both verbal and written
 </li>
 <li>
 Team player &ndash; ability to work with a team and influence a positive collaborative culture
 </li>
 <li>
 Ability to prioritize workload appropriately based on the impact on the business
 </li>
 <li>
 Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
 </li>
 </ul>
 
 
</div>

Cloud Architect

Cygnify

<div>
 We're looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won't just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.
 
 
 You're a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You've built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You're comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC.
 
 
 You're also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces.
 
 
 You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.
 
 
 
 What You Will Do
 
 
 
 ❖ Architect and build scalable, innovative software solutions; internally and for clients
 
 
 ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner
 
 
 ❖ Rapidly prototype, iterate, and validate solutions using modern technologies
 
 
 ❖ Balance short-term deliverables with long-term vision for scalable systems
 
 
 ❖ Work across cross-functional teams to align product goals, timelines, and execution
 
 
 ❖ Mentor junior engineers and contribute to growing a culture of technical excellence
 
 
 ❖ Evaluate new technologies to be implemented at scale for citizen impact
 
 
 ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality
 
 
 ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery
 
 
 
 Requirements
 
 
 
 OUR CORE TECH STACK (Flexible)
 
 
 ❖ Backend: C# / .NET / Python
 
 
 ❖ Frontend: React / Next.js
 
 
 ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB
 
 
 ❖ Cloud: Azure or Google
 
 
 ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible
 
 
 ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code
 
 
 
 What You'll Bring
 
 
 
 ❖ 6+ years of professional software engineering experience
 
 
 ❖ Expertise with C# and .NET Core, including building APIs and backend systems
 
 
 ❖ Proficiency in React and/or Next.js for modern frontend development
 
 
 ❖ Experience working with cloud services (Azure, AWS, or GCP)
 
 
 ❖ Strong communication and client management skills; comfortable owning technical delivery in client settings
 
 
 ❖ A passion for learning and working with emerging technologies
 
 
 ❖ Ability to work independently in fast-paced, dynamic environments
 
 
 ❖ Knowledge on how to integrate AI agentic development workflows to strong engineering practices
 
 
 
 Bonus Points For
 
 
 
 ❖ Prior consulting, agency, or client-facing experience
 
 
 ❖ Experience designing cloud-native architectures and using infrastructure-as-code tools
 
 
 ❖ Open-source contributions or published technical content
 
 
 ❖ Familiarity with data science workflows or machine learning integration
 
 
 
 What We Value
 
 
 
 ❖ Curiosity and action: You take initiative and explore new ideas
 
 
 ❖ Empathy and clarity: You're a strong communicator and collaborator
 
 
 ❖ Delivery and impact: You're focused on outcomes, not just outputs
 
 
 ❖ Passion and adaptability: You bring energy, depth, and flexibility to your work
 
 
</div>

Senior Technology Innovation Engineer-Dubai, UAE

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 
 
 
 Position Overview:
 
 We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Solution Selling:
 </li>
 <ul>
 <li>
 The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
 </li>
 </ul>
 <li>
 Strategic Leadership:
 </li>
 <ul>
 <li>
 Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
 </li>
 <li>
 Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
 </li>
 </ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
 </li>
 <li>
 Provide hands-on technical guidance to AI/ML teams during critical projects.
 </li>
 <li>
 Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
 </li>
 </ul>
 <li>
 Customer Engagement:
 </li>
 <ul>
 <li>
 Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
 </li>
 <li>
 Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
 </li>
 </ul>
 <li>
 Team Collaboration:
 </li>
 <ul>
 <li>
 Collaborate with product teams, fostering a culture of innovation, learning, and excellence.
 </li>
 <li>
 Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.
 </li>
 <li>
 Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.
 
 
 
 </li>
 </ul>
 </ul>
 TECHNICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Essential
 </li>
 <ul>
 <li>
 Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
 </li>
 <li>
 Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
 </li>
 <li>
 Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
 </li>
 <li>
 Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
 </li>
 </ul>
 <li>
 Highly Desirable
 </li>
 <ul>
 <li>
 Snowflake Experience: experience with the Snowflake AI/ML ecosystem
 </li>
 <li>
 Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
 </li>
 <li>
 ML Ops: Experience in ML Ops including feature stores, model registries, observability
 </li>
 <li>
 DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines
 
 
 
 </li>
 </ul>
 </ul>
 PERSONAL ATTRIBUTES:
 
 
 <ul>
 <li>
 Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
 </li>
 <li>
 Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
 </li>
 <li>
 Customer-Centric: Deeply invested in understanding and addressing customer needs.
 </li>
 <li>
 Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.
 </li>
 <li>
 Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.
 </li>
 <li>
 Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.
 </li>
 <li>
 Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
 
 
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>

AI Specialist

<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> 
As AI Product Expert for Utilities you will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 

Work directly with Utilities customers to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP. 
<ul><li>
</li></ul>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration. 
<ul><li>
</li></ul>Run agile cycles (PoC pilot production), gather user feedback, and drive adoption in real business processes. 
<ul><li>
</li></ul>Act as the &ldquo;bridge&rdquo; between Dubai Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap. 
<ul><li>
</li></ul><ul><li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across the region.</li></ul> 
Core responsibilities / expectations: 
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus. 
<ul><li>
Strong software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).</li></ul> 
<ul><li>
Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li></ul> 
<ul><li>
End to End process knowledge of fundamental Utilities processes such as Meter to Cash or Quote to Cash.</li></ul> 

Knowledge of the utilities market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio 
<ul><li>
</li>
Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language. 
<li>
</li><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Meet your Team: 
You will be part of a growing AI and industry expert team dedicated to serving customers across 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 working together on fast-paced projects 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 fast evolving AI landscape.<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: 450278 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Product Expert for Utilities

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

NVIDIA

<div>
 NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!
 
 
 We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.
 </li>
 <li>
 Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.
 </li>
 <li>
 Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
 </li>
 <li>
 Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.
 </li>
 <li>
 Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.
 </li>
 <li>
 Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.
 </li>
 <li>
 NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.
 </li>
 <li>
 Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.
 </li>
 <li>
 Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.
 </li>
 <li>
 System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).
 </li>
 <li>
 Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.
 </li>
 <li>
 Travel: Willingness to travel up to 25% for customer engagements.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.
 </li>
 <li>
 Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.
 </li>
 <li>
 Experience with multi-tenant GPU cluster management and workload scheduling frameworks.
 </li>
 <li>
 Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.
 </li>
 <li>
 Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.
 
 
 </li>
 </ul>
 , , JR2016438
 
 
</div>

Senior Solutions Architect, Customer Success

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