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artificial intelligence engineer Jobs in Abu Dhabi

artificial intelligence engineer

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ai engineer (6 months contract) Jobs in Abu Dhabi

ai engineer (6 months contract)

ai engineers – agentic ai platform Jobs in Abu Dhabi

ai engineers – agentic ai platform

agentic ai engineer

Atain

<div>
 <p>
  <strong>
   Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;12 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  with strong expertise in
  <strong>
   Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
  </strong>
  to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
  <strong>
   Revenue Management domain
  </strong>
  is a strong advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI solutions using
   <strong>
    Azure Databricks
   </strong>
   , Python, and modern AI frameworks.
  </li>
  <li>
   Build and orchestrate
   <strong>
    Agentic AI
   </strong>
   applications using multi-agent architectures and autonomous workflows.
  </li>
  <li>
   Develop, integrate, and manage
   <strong>
    Model Context Protocol (MCP) Servers
   </strong>
   for secure tool and data access.
  </li>
  <li>
   Design and implement
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines for enterprise AI applications.
  </li>
  <li>
   Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
  </li>
  <li>
   Build scalable data pipelines using
   <strong>
    PySpark
   </strong>
   , SQL, and Delta Lake on Azure Databricks.
  </li>
  <li>
   Integrate AI applications with enterprise systems, APIs, and cloud services.
  </li>
  <li>
   Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
  </li>
  <li>
   Monitor AI model performance, ensure governance, security, and responsible AI practices.
  </li>
  <li>
   Stay updated with emerging AI technologies and recommend innovative solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   ,
   <strong>
    PySpark
   </strong>
   , Python, and SQL.
  </li>
  <li>
   Strong experience building
   <strong>
    Agentic AI
   </strong>
   solutions and multi-agent orchestration.
  </li>
  <li>
   Experience developing and deploying
   <strong>
    MCP Servers
   </strong>
   .
  </li>
  <li>
   Expertise in
   <strong>
    Large Language Models (LLMs)
   </strong>
   , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
  </li>
  <li>
   Experience with
   <strong>
    Azure AI Services
   </strong>
   , Azure OpenAI, or similar cloud AI platforms.
  </li>
  <li>
   Knowledge of REST APIs, microservices, and cloud-native architectures.
  </li>
  <li>
   Strong problem-solving skills and ability to work in Agile environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Atain:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   (http://www.atain.com)
  </strong>
 </p>
 <p>
  Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 </p>
</div>


Artificial Intelligence Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior AI Engineer

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.</p><p>
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.</p>
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul><p></p><p>
It would also be great if you have:</p><p></p><ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul><p></p><b><br>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior Full Stack Engineer

Lunate

<div>
 <p>
  <strong>
   Firm Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Duties and Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
  </li>
  <li>
   Leverage AI Tools to design and automate our pipelines.
  </li>
  <li>
   Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
  </li>
  <li>
   Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
  </li>
  <li>
   Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
  </li>
  <li>
   Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
  </li>
  <li>
   Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
  </li>
  <li>
   Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
  </li>
  <li>
   Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
  </li>
  <li>
   Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
  </li>
  <li>
   Contribute to engineering standards, patterns, and documentation as the data function scales.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of professional data engineering experience delivering production pipelines.
  </li>
  <li>
   Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
  </li>
  <li>
   Hands-on experience with dbt, including testing and environment management.
  </li>
  <li>
   Familiarity with modern ingestion tools such as Fivetran.
  </li>
  <li>
   Strong grounding in data modelling fundamentals (Kimball and relational).
  </li>
  <li>
   Python-native, comfortable writing production-quality pipeline and orchestration code.
  </li>
  <li>
   Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
  </li>
  <li>
   Experience building replayable, idempotent pipelines with backfill support.
  </li>
  <li>
   Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
  </li>
 </ul>
</div>


Senior Data Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Who we are
  <br/>
  <br/>
 </strong>
 With over 14,000 professionals globally, GHD is a leading multidisciplinary professional services company delivering engineering, design, and advisory solutions across water, energy, resources, environment, property &amp; buildings, and transportation sectors.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking an experienced and driven Lead Electrical Engineer to join our Global Data Centre Design Team (Mission Critical), based in our UAE offices. This is a high-profile leadership role for a technically accomplished engineer with a proven track record in the design and delivery of complex data centre projects.
 <br/>
 <br/>
 You will have the opportunity to lead the electrical engineering design on some of the most advanced AI and hyperscale data centre projects worldwide. These projects range from deploying and refining standardised, high-performance designs for global clients to delivering fully bespoke, cutting-edge facilities that set new benchmarks for innovation, resilience, and sustainability.
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 You will play a central role in influencing future data centre design approaches, working closely with clients, multidisciplinary teams, and industry experts to deliver efficient, sustainable, and commercially viable engineering solutions that meet the rapidly evolving demands of AI-driven infrastructure.
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 <strong>
  Key Responsibilities
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 </strong>
 <ul>
  <li>
   Lead the electrical design for mission critical facilities, covering all aspects including medium and low voltage power distribution, UPS systems, standby generation, lighting, earthing, and lightning protection.
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   Drive technical excellence by producing high-quality designs, specifications, reports, and calculations in accordance with client requirements, local regulations, and international standards.
  </li>
  <li>
   Conduct load assessments, redundancy strategy planning, fault/discrimination studies, and resilience planning for high-availability facilities.
  </li>
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   Coordinate with mechanical, structural, ICT, security, and other disciplines to ensure integrated, clash-free, and optimised designs.
  </li>
  <li>
   Provide technical leadership and mentoring, supporting the growth of less experienced engineers and fostering a culture of continuous improvement.
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   Oversee project budgets, deliverables, and programmes, ensuring compliance with contractual and quality requirements.
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   Maintain direct client engagement, presenting solutions, managing expectations, and offering proactive technical input during all project phases.
  </li>
  <li>
   Contribute to the development, adaptation, and improvement of client standard reference designs, as well as the design of bespoke facilities.
  </li>
  <li>
   Champion innovation, integrating energy efficiency, sustainability, and emerging technologies into design strategies.
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   <br/>
  </li>
 </ul>
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  Experience &amp; Qualifications
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 </strong>
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  <li>
   Bachelor&rsquo;s degree in Electrical Engineering (Master&rsquo;s degree or Chartered Engineer status preferred).
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   Minimum 10 years&rsquo; relevant experience, with at least 3 years in mission critical and/or data centre projects.
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   Proven expertise in MV/LV distribution systems, UPS and generator systems, and advanced redundancy schemes.
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   Strong understanding of cooling integration, ICT systems, and commissioning processes specific to high-availability environments.
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   Familiarity with hyperscale and AI data centre design considerations is highly desirable.
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   Proficiency in ETAP, Amtech, AutoCAD, Revit, and other relevant design tools.
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   Track record of producing detailed designs including schematic diagrams, fault and discrimination studies, technical reports, and specifications.
  </li>
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   Strong leadership, problem-solving, and stakeholder management skills.
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  <li>
   Excellent communication skills with the ability to lead discussions, influence decision-making, and collaborate across multiple disciplines.
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   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on globally significant projects, influencing the next generation of AI and hyperscale data centre design.
  </li>
  <li>
   Be part of a globally recognised, fast-growing mission critical team delivering projects that blend technical excellence, sustainability, and commercial success.
  </li>
  <li>
   Collaborate in a multi-disciplinary, innovative environment where your input shapes both standardised and bespoke solutions.
  </li>
  <li>
   Join a team that values knowledge-sharing, mentorship, and professional excellence.
  </li>
  <li>
   Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.
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   <br/>
  </li>
 </ul>
 <strong>
  Our Pledge to You
  <br/>
  <br/>
 </strong>
 At GHD, we don&rsquo;t just believe in the power of commitment, we live and breathe it every day.
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 That&rsquo;s why we pledge to empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.
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 See where your commitment could take you.
 <br/>
 <br/>
 That&rsquo;s the
 <strong>
  #PowerOfCommitment
 </strong>
</div>


Lead Electrical Engineer- Mission Critical (Data Centres)

RINA

<div></div><div><div><div><div><div>Posting Date: 2 Jul 2026
</div></div></div></div><div><div><div><div>City: Abu Dhabi
</div></div></div></div><div><div><div><div>Location:
<p>Abu Dhabi, Abu Dhabi, AE
</p></div></div></div></div><div><div><div><div>Contract Type: Fixed-Term
</div></div></div></div><div><div><div><div>Division: Electronics and System Engineering
</div></div></div></div><div><div><div><div>Level of experience: Intermediate
</div></div></div></div><div><div><div><div><p>RINA is currently recruiting for a <b>Railway System Engineer</b> to join its office in Abu Dhabi within the <b>Electronics and System Engineering</b> Division.
</p><div><div><div><h2 class="jobSectionHeader"><b>Mission</b></h2>
</div><div><p>The Railway System Engineer is responsible for designing, integrating, and optimizing railway systems to ensure safe, reliable, and efficient operations. This role involves system-level thinking, covering rolling stock, signaling, infrastructure, power supply, and communication systems.</p>
<p>The Railway System Engineer will join the RINA team as Interface Engineer in order to be part of national and international railway projects. His scope covers the entire lifecycle of railway projects, from concept to operation and maintenance. The successful candidate will have previous experience in requirements, interface and configuration management.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Accountabilities</b></h2>
</div><div><p>A. System Design &amp; Architecture</p>
<ul><li>Defining and managing railway system requirements, system architecture, interaction between subsystems (rolling stock, signaling, tracks, power supply).</li></ul>
<ul><li>Selecting appropriate technologies and configurations for new rail projects.</li></ul>
<p>B. System Integration</p>
<ul><li>Ensuring interoperability between different railway subsystems, interfaces between rolling stock, signaling, and infrastructure.</li></ul>
<ul><li>Validating system compatibility across national and international railway networks (e.g., ERTMS, CBTC, PTC).</li></ul>
<p>C. Performance Optimization</p>
<ul><li>Enhancing railway system efficiency in terms of capacity, energy consumption, and operational reliability.</li></ul>
<p>D. Verification &amp; Validation</p>
<ul><li>Ensuring railway systems adhere to the performance and characteristics required by the project requirements, standards, laws, &hellip;</li></ul>
<ul><li>Defining and monitoring the execution of the V&amp;V plan</li></ul>
<p>E. Lifecycle Management</p>
<ul><li>Managing railway system upgrades and modernization projects.</li></ul>
<ul><li>Supporting asset management and maintenance planning to maximize system longevity.</li></ul>
<p>F. Digitalization &amp; Smart Rail Technologies</p>
<ul><li>Implementing IoT, AI, and Big Data solutions for predictive maintenance and automation.</li></ul>
<ul><li>Working with Digital Twin, Remote Monitoring, and Smart Signaling technologies.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Education</b></h2>
</div><div><div>Bachelor&rsquo;s Degree</div>
<div>Master&rsquo;s Degree in Electrical Engineering or Mechanical Engineering</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><ul><li>5+ years of experience in system engineering for railway domain projects</li></ul>
<ul><li>Rolling Stock (Locomotives, EMUs, DMUs, High-Speed Trains)</li></ul>
<ul><li>Signaling Systems (ETCS, CBTC, PTC, Interlocking)</li></ul>
<ul><li>Electrification (25kV AC, 750V DC, 3kV DC systems)</li></ul>
<ul><li>Track Infrastructure (Standard gauge, High-Speed Rail, Light Rail, Metro)</li></ul>
<ul><li>Requirements and Configuration management.</li></ul>
<ul><li>Interface management between hardware, software, and infrastructure.</li></ul>
<ul><li>Managing mixed traffic operations (High-speed, freight, commuter trains).</li></ul>
<ul><li>CENELEC Standards: EN 50126 (RAMS), EN 50128 (Software), EN 50129 (Safety)</li></ul>
<ul><li>ETCS/ERTMS (European Train Control System)</li></ul>
<ul><li>IEC 62290 (Urban Rail Control Systems)</li></ul>
<ul><li>UIC, AAR, and FRA Regulations (for different railway regions)</li></ul>
<ul><li>Systems Engineering: DOORS, Enterprise Architect</li></ul>
<ul><li>Failure &amp; Safety Analysis: ReliaSoft, FMECA, FTA Tools</li></ul>
<ul><li>Electrical &amp; Mechanical Design: MATLAB, Simulink, CATIA</li></ul>
<ul><li>Working with V-Model, Agile, or Waterfall methodologies.</li></ul>
<ul><li>Managing large-scale railway system deployment projects.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Competencies</b></h2>
</div><ul><li>WORKPLACE DYNAMICS - Resourcefulness in shaping progress and working efficiently.</li>
<li>PERSONAL EMPOWERMENT - Ownership for life, work and results, striving to grow professionally and personally.
</li><li>INTERPERSONAL INFLUENCE - Skills and strategies we use to interact effectively with others.</li>
<li>DOMAIN &amp; BUSINESS ACUMEN - Applying a scientific approach and critical thinking in operations and solution development within area of expertise.</li>
<li>FORESIGHT &amp; INSIGHT - Context awareness adopting a systemic perspective and informed decision making.</li><br>
</ul></div></div><p></p><p>RINA is a multinational company providing a wide range of services in the energy, marine, certification, infrastructure &amp; mobility, industry, research &amp; development sectors. Our business model covers the full process of project development, from concept to completion.</p><br>
<p></p><p><i>At RINA, we endeavor to create a work environment where every single person is valued and encouraged to develop new ideas. We provide equal employment opportunities and are committed to creating a workplace where everyone feels respected and safe from discrimination or harassment of any kind. We are also compliant to the Italian Law n. 68/99.</i></p>
<div>#LI-AE1</div></div></div></div></div></div><p></p>

Railway System Engineer

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