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hiring for a client - system architect Jobs in Abu Dhabi

hiring for a client - system architect

ai senior solution architect

Abu Dhabi Commercial Bank

<div>
 
 Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.
 
 
 
 
 
 
 
 
 
 About the business area
 
 
 
 
 
 
 GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.
 
 
 
 
 
 We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in banking.
 
 
 
 
 
 
 
 
 
 In this role, your key responsibilities include:
 
 
 
 
 
 <ul>
 <li>
 Define and lead solution architectures to enable product delivery, working with diverse stakeholder groups (internal and external) to ensure alignment to ADCB goals and objectives.
 </li>
 <li>
 Architect AI solutions including Large Language Models (LLM) based agents, Retrieval-Augmented Generation (RAG) pipelines, Conversational AI and enterprise knowledge platforms.
 </li>
 <li>
 Translate product vision into scalable AI architectures aligned with enterprise standards. Evaluate and select AI tools, frameworks, and vendors (e.g., LangChain, Azure OpenAI, Pinecone).
 </li>
 <li>
 Promote reuse of APIs, data products, and microservices to reduce technical debt.
 </li>
 <li>
 Contribute to Platform, Tribe and Chapter deliverables and governance as required, to ensure architecture translates to delivered technology builds.
 </li>
 <li>
 Manage and coach tech leads and engineers across teams on Artificial Intelligence (AI), architecture principles, patterns and designs in order to mitigate risks and drive rapid maturity of a modern and scalable ADCB tech stack
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Develop and maintain Generative AI platform solution architecture documentation in order to support Platform level governance and in line with overall Technology governance
 </li>
 <li>
 Liaise with business analysts, engineers, delivery leads, and architects in order to deliver optimal solution design and architecture outcomes in a scaled agile model.
 </li>
 <li>
 Collaborate with prospective users and stakeholders in order to understand and anticipate their needs and translate them into product requirements.
 </li>
 <li>
 Identify and assist the stakeholder understand the business model, value and value proposition in order to fully understand the deliverable being implemented.
 </li>
 <li>
 Act as the main point of contact between teams and stakeholders to ensure accurate information flow
 </li>
 <li>
 Articulate the value proposition of AI solutions and ensure alignment with business models.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 The ideal candidate should have the following experience:
 
 
 
 
 
 <ul>
 <li>
 At least 6+ years in technology architecture, with at least 3 years focused on Artificial Intelligence (AI)/Machine Learning (ML) solution design and deployment
 </li>
 <li>
 Experience in banking or financial services preferred
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence (AI), Software Engineering, or related field. Master&rsquo;s degree preferred
 </li>
 <li>
 Azure or AWS Solution Architect certification; AI/ML certifications (e.g., Azure AI Engineer, TensorFlow Developer) are a plus.
 </li>
 <li>
 Deep understanding of AI/ML frameworks
 </li>
 <li>
 Experience with Large Language Models (LLMs)
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Embeddings, and vector databases (Pinecone, FAISS)
 </li>
 <li>
 Proficiency in cloud platforms (Azure, AWS) and serverless Artificial Intelligence (AI) deployments
 </li>
 <li>
 Strong grasp of agile methodologies and scaled agile delivery
 </li>
 <li>
 Ability to translate Artificial Intelligence (AI) frameworks into applied architecture
 </li>
 <li>
 Excellent analytical, communication, and stakeholder management
 </li>
 <li>
 Familiarity with Responsible Artificial Intelligence (AI) principles and governance
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What we offer:
 
 
 
 
 
 
 
 Comprehensive Benefits Package:
 
 This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).
 
 
 
 Flexible and Remote Working Options
 
 : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.
 
 
 
 Learning and Development Opportunities:
 
 We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.
 
 
 
 
 
 
 
 
 
 
 
 At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.
 
</div>

AI Senior Solution Architect

NorthBay Solutions

<div>Job Title: Technology Lead/Architect &ndash; AI/ML &amp; GenAI 
Experience: 12+ Years 
Location: Abu Dhabi, UAE 
Employment Type: Full-time<h3 class="jobSectionHeader"> 
About the Role</h3>
NorthBay Solutions is seeking an accomplished GenAI Technology Lead/Architect with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture. This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.<h3 class="jobSectionHeader"> 
Core Responsibilities</h3><ul><li>
Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.</li><li>
Lead a team of 8&ndash;12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.</li><li>
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.</li><li>
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.</li><li>
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.</li></ul><h3 class="jobSectionHeader"> 
Technical Expertise Required</h3><h4 class="jobSectionHeader">
Generative AI Leadership (3+ Years) &ndash; PRIMARY</h4><ul><li>
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.</li><li>
Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.</li><li>
Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.</li><li>
Expertise in advanced prompt engineering and Chain-of-Thought techniques.</li><li>
Proven track record delivering 3+ production-grade GenAI applications.</li></ul><h4 class="jobSectionHeader">
AI/ML Foundation (4&ndash;5 Years)</h4><ul><li>
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.</li><li>
Full lifecycle management of ML models, from development to monitoring in production.</li><li>
Seamless integration of AI/ML models into enterprise-grade applications and platforms.</li></ul><h4 class="jobSectionHeader">
Enterprise Architecture &amp; Deployment (8+ Years)</h4><ul><li>
Strong background in full-stack development (MERN stack or equivalent).</li><li>
Deployment expertise across on-premises, cloud, and hybrid environments.</li><li>
Advanced Kubernetes skills for orchestration and scaling.</li><li>
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Proven ability to design and manage APIs and microservices (REST, GraphQL).</li><li>
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.</li></ul><h4 class="jobSectionHeader">
Cloud &amp; Infrastructure</h4><ul><li>
Deep knowledge of AWS, Azure, or GCP with ML/AI services.</li><li>
AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.</li><li>
Strong grasp of hybrid cloud architectures integrating AI/ML workloads.</li></ul><h3 class="jobSectionHeader"> 
Proven Delivery</h3><ul><li>
7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.</li><li>
Demonstrated team leadership experience with measurable outcomes.</li><li>
Strong focus on delivery excellence, scalability, and long-term maintainability.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
(Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).</li><li>
Excellent communication and stakeholder management skills.</li><li>
Solid experience in Agile/Scrum leadership, driving productivity and team performance.</li></ul><h3 class="jobSectionHeader"> 
Ideal Candidate Profile</h3><ul><li>
Priority expertise:<ul><li>
Generative AI Leadership</li><li>
AI/ML Foundation</li><li>
Enterprise Architecture &amp; Hybrid Deployments</li></ul></li><li>
A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.</li></ul>
1gu8Cqp31g</div>

GenAI & AgenticAI Architect - AbuDhabi

Cognite

<div>
 
 About Cognite
 
 
 
 Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms &amp; Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year . In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil &amp; Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where Ai and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
 
 
 
 Learn More About Cognite Here
 
 
 
 
 Cognite Product Tour 2024
 
 
 
 
 Cognite Product Tour 2023
 
 
 
 
 Data Contextualization Masterclass 2023
 
 
 
 
 Our values
 
 
 
 
 Impact
 
 : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
 
 
 
 Ownership
 
 : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
 
 
 
 Relentless
 
 : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
 
 
 
 Cognite Global Strategic Services
 
 
 
 Services is the Scaling Engine of Cognite. TAMs are a key lever in that engine.
 
 
 
 Overview
 
 
 
 At Cognite, Technical Account Managers (TAMs) are trusted advisors responsible for helping strategic customers realize tangible value from Cognite Data Fusion (CDF) and accelerate scalable outcomes. They play a central role in delivering on our Scaling Engine ethos; collaborating across Services, Product, Engineering, and Account Teams to ensure our technology is deployed with excellence, adopted with purpose, and expanded with value.
 
 
 TAMs lead the technical relationship across the customer lifecycle: from validating architectural decisions during pre-sales, to supporting deployment and operationalization post-First Value, and ultimately co-owning technical alignment for expansion and renewal. They are also essential in enabling our partner ecosystem, ensuring solution integrity, and elevating the Cognite experience through feedback loops to Product and Customer Enablement.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Architect with Impact: Work with central customer IT teams to align on a target architecture for CDF across their enterprise and ensure fit within their ecosystem.
 </li>
 <li>
 Collaborate Across Pre-Sales and Field Engineering: Partner with Field Engineering and Solution Architects during pre-sales to ensure technical continuity into deployment.
 </li>
 <li>
 TAMs provide customer context and future-state alignment to help accelerate early value realization and ensure a strong post-sale handover.
 </li>
 <li>
 Deploy with Confidence: Guide secure solution deployments (IAM, networking, data pipelines), ensuring alignment with Cognite best practices and supportable design.
 </li>
 <li>
 Drive Value Realization: Partner with Customer Success, Services Delivery, and Value Engineering to align architecture and use case roadmap with customer business goals.
 </li>
 <li>
 Support Scalable Adoption: Co-develop adoption programs, facilitate end-user feedback loops, and support Enablement in scaling best practices across accounts.
 </li>
 <li>
 Identify and Surface Expansion Opportunities: Act as a trusted advisor who understands the customer's evolving needs and business priorities. While not responsible for direct sales, TAMs play a critical role in identifying new use cases and scaling opportunities that Customer Business Executives (CBEs) can engage on commercially.
 </li>
 <li>
 Catalyze Expansion: Provide technical insight to Account Management and CBEs to accelerate and de-risk expansion and renewal opportunities.
 </li>
 <li>
 Activate Partners: Collaborate with Solution Partners and validate technical quality of partner-delivered solutions for your assigned accounts.
 </li>
 <li>
 Close the Feedback Loop: Be the voice of the customer to Product and Engineering; especially around product limitations, roadmap priorities, and repeatability.
 </li>
 <li>
 Champion Cognite Culture: Model curiosity, empathy, and speed in cross-functional collaboration to bring out the best in our teams and our customers.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, Technology or related field. Masters preferred.
 </li>
 <li>
 5&ndash;12+ years of experience (TAM / Director level) in roles such as solution architect, data engineer, software developer, or enterprise architect.
 </li>
 <li>
 Exposure to and experience from the heavy asset industry related to Oil &amp; Gas, petrochemicals or energy is required
 </li>
 <li>
 Deep technical understanding of enterprise integration patterns, cloud architecture, data platforms, identity management, and networking security.
 </li>
 <li>
 Hands-on experience with tools like Git, CI/CD pipelines, deployment automation, and DevOps workflows.
 </li>
 <li>
 Strong familiarity with industrial source systems, time-series data, OT/IT integration; especially in O&amp;G, Manufacturing, or Power &amp; Utilities, preferred.
 </li>
 <li>
 Demonstrated ability to engage and coach technical stakeholders across seniority levels with credibility and clarity.
 </li>
 <li>
 Experience facilitating technical workshops, co-design sessions, and escalation management with enterprise customers.
 </li>
 <li>
 Comfortable operating in matrixed, fast-moving SaaS environments where shared success and trust are key currencies.
 
 
 </li>
 </ul>
 
 Traits That Will Help You Be Successful
 
 
 
 <ul>
 <li>
 You are structured, detailed, and value operational excellence.
 </li>
 <li>
 You embrace a DevOps mindset and believe in scalable, supportable design.
 </li>
 <li>
 You take initiative and follow through on commitments.
 </li>
 <li>
 You believe in shared success and bring positive energy to collaboration.
 </li>
 <li>
 You are passionate about Cognite&rsquo;s mission &mdash; and want to be part of a team that&rsquo;s building something bold.
 </li>
 <li>
 You want to have fun while delivering world-class outcomes.
 
 
 </li>
 </ul>
 
 A snapshot of our many perks and benefits as a Cogniter
 
 
 
 <ul>
 <li>
 Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
 </li>
 <li>
 A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata 📷 to know more
 </li>
 <li>
 Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
 </li>
 <li>
 Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
 </li>
 <li>
 Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
 
 
 </li>
 </ul>
 
 Why choose Cognite? 🏆 🚀
 
 
 
 Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation ! And just recently, Frost &amp; Sullivan named Cognite a Technology Innovation Leader ! 🥇 Most recently Cognite Data Fusion&reg; Achieved Industry First DNV Compliance for Digital Twins 🥇
 
 
 
 Apply today!
 
 
 
 If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -
 
 
 We encourage you to follow us on Cognite LinkedIn ; we post all our openings there.
</div>

Technical Account Manager

CloudJune Technologies LLC

Senior AI/ML EngineerAs a Senior AI/ML Engineer at AI Factory, you will be a key leader in the entire lifecycle of our strategic AI/ML initiatives, from visionary ideation and rigorous experimentation to secure deployment and impactful scaling across entities. You will be instrumental in architecting and implementing sophisticated AI models, spanning both robust traditional methodologies and cutting-edge generative techniques, strategically leveraging the best of open-source and proprietary technologies. You will collaborate closely with government Business Subject Matter Experts (SMEs), visionary AI product designers, a talented team of Data Scientists and Engineers, and innovative Software Engineers to build robust, scalable, secure, and impactful AI-powered products that directly benefit the citizens, residents and visitors of Abu Dhabi.What You'll Do:&#9679; Design, development, and deployment of advanced AI models and end-to-end pipelines for a diverse portfolio of government applications, encompassing both traditional ML (e.g., classification, regression, time series forecasting, recommendation engines) and state-of-the-art Generative AI (e.g., large language models, photorealistic diffusion models, generative adversarial networks).&#9679; Masterfully work with complex and sensitive government datasets, strategic data preprocessing, insightful feature engineering, and rigorous analysis to prepare data for optimal model training, precise fine-tuning, model calibration and comprehensive evaluation.&#9679; Expertly utilize and potentially contribute to leading open-source AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and a range of specialized ML/GenAI tools.&#9679; Architect and maintain robust and highly scalable AI pipelines leveraging open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP), ensuring security and compliance with government standards.&#9679; Proactively experiment with and strategically implement cutting-edge techniques in both traditional and Generative AI, continuously staying at the forefront of the latest research, advancements, and ethical considerations within the field.&#9679; Drive effective collaboration with diverse cross-functional teams, including government Business SMEs, fellow Data Scientists, experienced Data Engineers, innovative Software Engineers, user-centric Experience Designers, intuitive UI/UX Developers, and visionary Product Managers, to clearly define critical problem statements, co-develop impactful AI solutions, and seamlessly integrate AI/ML models into existing government technology ecosystems to significantly enhance business processes and user experiences.&#9679; Contribute significantly to the evolution of our internal AI/ML infrastructure and champion best practices, rigorously promoting code quality, ensuring reproducibility of results, and establishing efficient and secure workflows aligned with government regulations.&#9679; Critically evaluate model performance using appropriate government-centric metrics and proactively implement robust AI safeguard strategies to ensure ethical, transparent, and reliable AI solutions, driving continuous improvement and optimization.&#9679; Thoroughly document methodologies, well-commented code, and clearly articulated results for both technical and non-technical stakeholders within the government.&#9679; Expertly troubleshoot and effectively resolve complex issues related to AI/ML models and critical pipelines in live government production environments, ensuring minimal disruption to essential services.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a closely related quantitative field with a strong analytical foundation.&#9679; A minimum of 3 years of demonstrable and impactful hands-on experience in the end-to-end lifecycle of developing and deploying robust machine learning models or GenAI solutions in a demanding production environment.&#9679; Deep theoretical understanding and significant practical experience in a broad spectrum of traditional machine learning algorithms and techniques, with a proven ability to apply them effectively to real-world problems.&#9679; Strong demonstrated experience with the intricacies of generative AI models and techniques, including practical application of large language models (LLMs), diffusion models, and generative adversarial networks (GANs).&#9679; Exceptional proficiency in core programming languages essential for AI/ML, particularly Python, with a focus on writing clean, efficient, and well-documented code.&#9679; Extensive practical experience with key open-source AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) and a strong understanding of their underlying principles.&#9679; Proven experience in building and deploying resilient AI pipelines utilizing open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP, Docker, Kubernetes), with a focus on security and scalability.&#9679; Solid understanding of data engineering principles and substantial experience working with large, complex, and potentially sensitive government datasets and secure cloud-based data platforms (e.g., Azure).&#9679; Proven experience working with a variety of database systems including relational databases (e.g., PostgreSQL, MySQL), vector databases (e.g., Milvus, Pinecone, ChromaDB) and graph databases (e.g., Neo4j, ArangoDB) for modeling and querying complex relationships between entities.&#9679; Exceptional problem-solving and strong analytical skills with a proven ability to effectively translate complex government business requirements into robust and scalable technical AI solutions.&#9679; Outstanding communication and strong collaboration skills, with the ability to clearly and concisely explain complex technical AI concepts and findings to both highly technical and non-technical stakeholders across various government entities.&#9679; A proactive, highly self-driven, and results-oriented attitude with a genuine passion for continuous learning and staying at the absolute forefront of the latest advancements and ethical considerations in the dynamic field of AI/ML.Bonus Points For:&#9679; Proven experience implementing and leveraging AIOps practices and tools within a production environment.&#9679; Specific familiarity with the unique challenges and opportunities within the government sector or relevant industry domains within Abu Dhabi.&#9679; Hands-on experience with distributed training and efficient inference techniques for large-scale AI models.&#9679; Contributions to the open-source AI/ML community or publications in relevant AI/ML conferences or journals.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Python, TensorFlow, PyTorch, and cloud platforms: 5 years (Required)</li><li>AI ethics, data privacy, and MLOps: 3 years (Required)</li><li>AI/ML development : 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior AI/ML Engineer

consultant chss

Job Title: Senior ArchitectLocation: Abu Dhabi / UAEIndustry: Engineering ConsultancyExperience: Minimum 12 years total, with at least 3 years in a Senior Architect roleEducation: BSc in Architectural EngineeringAvailability: 1 MonthJob Description:We are looking for an experienced and detail-oriented Senior Architect to join our team in Abu Dhabi. The ideal candidate must have a strong background in designing and design review, with a minimum of 12 years of experience, including at least 3 years in a senior architectural position within a consultancy firm.The candidate must also have a strong understanding of Abu Dhabi regulations and approval processes (ADM, DMT, Estidama, etc.) and be capable of managing coordination between stakeholders, consultants, and government authorities.Key Responsibilities:<ul><li>Lead and oversee architectural design development for various project types (residential, commercial, institutional, etc.)</li><li>Review architectural designs and ensure compliance with client requirements, codes, and local regulations</li><li>Coordinate with multidisciplinary teams, clients, and external consultants</li><li>Handle submissions to relevant authorities and manage the approval process efficiently, especially within Abu Dhabi</li><li>Ensure all architectural documentation and deliverables meet quality and regulatory standards</li><li>Guide and mentor junior architects and design team members</li><li>Participate in meetings with clients, authorities, and internal project teams</li><li>Support business development by contributing to proposals and concept designs as needed</li></ul>Requirements:<ul><li>Bachelor's degree in Architectural Engineering (BSc. Arch. Eng.)</li><li>Minimum 12 years of professional experience in architecture</li><li>At least 3 years in a similar senior role within a consultancy environment</li><li>Proven experience in architectural design and design review</li><li>Strong knowledge of Abu Dhabi regulations and approval processes (ADM, DMT, Estidama, etc.)</li><li>Familiarity with Dubai authority processes (DDA, Dubai Municipality, etc.) is a plus</li><li>Proficient in AutoCAD, Revit, and other architectural design software</li><li>Strong leadership, coordination, and communication skills</li><li>UAE experience is mandatory</li></ul>Preferred Qualifications:<ul><li>Estidama PQP certification is an advantage</li><li>LEED accreditation is a plus</li><li>Experience with large-scale or high-profile projects</li><li>Arabic language skills are a bonus</li></ul>Job Type: Full-timePay: From AED20,000.00 per month

Senior Architect

Tabreed

<div>
 
 Job Objective:
 
 
 
 The Senior Consultant will play a pivotal role in driving the digital transformation initiatives at Tabreed. This role involves overseeing the liaison between the product/solution delivery team and all end-user stakeholders to ensure the resolution and close-out of all business process issues. The consultant will leverage emerging and advanced technologies to design products and solutions that significantly impact business output, increase visibility, and support process efficiency. Utilizing data-driven methods, the consultant will lead efforts to enhance business processes, integrate advanced technological capabilities, and provide innovative solutions to improve overall business performance.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop &amp; maintain the digital transformation strategy and support the digital transformation design and implementation across company and its entities
 </li>
 <li>
 Support the development and implementation of digital transformation solutions for internal and external clients across company and its entities
 </li>
 <li>
 Oversee the liaison between the product/solution delivery team and all end user stakeholders to ensure resolution and close-out of all business process issues
 </li>
 <li>
 Drive the automated business process management framework and improvement efforts cross-functionally across the enterprise, to increase growth potential and improve all business processes
 </li>
 <li>
 Support integration of digital and Artificial Intelligence (AI) technological capabilities across the various systems and processes at company and its entities towards building a digital customer experience
 </li>
 <li>
 Ensure the provision of digital innovation support for internal and external clients across the company and its entities and during IT projects
 </li>
 <li>
 Provide innovative and cost-effective solutions for stakeholders or for improving business processes
 </li>
 <li>
 Supervise the business analysis of current products and solutions and their effectiveness, value and return on investment
 </li>
 <li>
 Budget management
 
 
 </li>
 </ul>
 
 Qualifications
 
 :
 
 
 Bachelor's degree in Information Technology, Business Administration, or a related field
 
 
 At least 7 years of experience in Digital Transformation or related work experience
</div>

Senior Consultant Digital Transformation

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

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