ai solutions architect

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

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)

Microsoft

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.
 <br/>
 <br/>
 We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.
 <br/>
 <br/>
 The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
  </li>
  <li>
   AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
  </li>
  <li>
   Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes
  </li>
  <li>
   Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations
  </li>
  <li>
   Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health
  </li>
  <li>
   Customer Impact: Improve security posture with scalable, resilient, and high-performing designs
  </li>
  <li>
   Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes
  </li>
  <li>
   Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers
  </li>
  <li>
   Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security
  </li>
  <li>
   Practice Development: Contribute to capability building across CSA community and complex solution delivery
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  </li>
  <li>
   Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
  </li>
  <li>
   Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)
  </li>
  <li>
   Microsoft Sentinel
  </li>
  <li>
   Microsoft Entra (identity, Conditional Access, lifecycle governance)
  </li>
  <li>
   Microsoft Purview (data security, compliance, governance)
  </li>
  <li>
   Demonstrated experience securing AI‑powered workloads, including:
  </li>
  <li>
   Identity, access control, and least‑privilege enforcement
  </li>
  <li>
   Data protection and information governance
  </li>
  <li>
   Threat detection, posture management, and incident response for AI systems
  </li>
  <li>
   Hands‑on understanding of agentic architectures, including:
  </li>
  <li>
   AI agents, copilots, or autonomous systems
  </li>
  <li>
   Agent identity, lifecycle, and access management concepts
  </li>
  <li>
   Observability, logging, and behavioural monitoring for autonomous systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms
  </li>
  <li>
   Familiarity with AI security architecture patterns, including:
  </li>
  <li>
   Secure model access and isolation
  </li>
  <li>
   Guardrails, policy enforcement, and content safety
  </li>
  <li>
   AI workload discovery and posture management
  </li>
  <li>
   Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification
  </li>
  <li>
   Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
  </li>
  <li>
   Microsoft certifications such as:
  </li>
  <li>
   SC‑100: Cybersecurity Architect
  </li>
  <li>
   SC-200: Security Operations Analyst Associate
  </li>
  <li>
   SC-300: Identity and Access Administrator Associate
  </li>
  <li>
   AI-900: Microsoft Azure AI Fundamentals
  </li>
  <li>
   AZ-500: Azure Security Engineer Associate
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Skills &amp; Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands‑on engineering mindset with architectural thinking
  </li>
  <li>
   Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
  </li>
  <li>
   Comfortable working across security, AI, and platform teams
  </li>
  <li>
   Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
  </li>
  <li>
   Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem
  </li>
  <li>
   Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams
  </li>
  <li>
   Ability to engage with CISOs, security architects, and IT leadership
  </li>
  <li>
   Proven customer‑facing delivery experience
  </li>
  <li>
   The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.
   <br/>
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Cloud Solution Architecture-Security

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

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3584
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Responsibilities
<br>
<ul><li>Strategic Leadership:
</li></ul>Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
<br>
<ul><li>Technical Excellence:
</li></ul>Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
<br>
<ul><li>Team Leadership:
</li></ul>Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
<br>
<ul><li>Stakeholder Engagement:
</li></ul>Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
<br>
<ul><li>Governance &amp; Compliance:
</li></ul>Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
<br>
<ul><li>Operational Excellence:
</li></ul>Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
<br>
<ul><li>Expert Knowledge Application:
</li></ul>Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
<br>
<ul><li>Complex Problem Solving:
</li></ul>Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
<br>
<ul><li>Professional Know-How:
</li></ul>Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div><div><p>Responsibilities and Accountabilities:</p>
<ul><li>Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
</li><li>Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
</li><li>Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
</li><li>Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
</li><li>Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
</li></ul>Responsibilities and Accountabilities:
<ul><li>Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
</li><li>Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
</li><li>Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
</li><li>Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
</li><li>Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
</li><li>Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
</li><li>Ensure robust documentation, explainability, and auditability of all models and analytics solutions</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div><div><p>Relevant certifications in AI/ML, MLOps, and Data Governance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments</p>
<p>Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><p>8 years of relevent experience</p></div></div></div></div></div></div></div></div><p></p>

Data Science Expert

ENEC Operations

<div>
 Job Title: Data Science Expert
 <br/>
 <br/>
 Posting Date: 7 Jul 2026
 <br/>
 <br/>
 Requisition ID: 3584
 <br/>
 <br/>
 Location: HQ - Abu Dhabi
 <br/>
 <br/>
 Posting Status: Active Recruitment
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.
 <br/>
 <br/>
 Key Activities, Responsibility &amp; Accountability
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Technical Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
 <br/>
 <br/>
 <ul>
  <li>
   Team Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
 <br/>
 <br/>
 <ul>
  <li>
   Stakeholder Engagement:
   <br/>
   <br/>
  </li>
 </ul>
 Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Governance &amp; Compliance:
   <br/>
   <br/>
  </li>
 </ul>
 Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
 <br/>
 <br/>
 <ul>
  <li>
   Operational Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
 <br/>
 <br/>
 <ul>
  <li>
   Expert Knowledge Application:
   <br/>
   <br/>
  </li>
 </ul>
 Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
 <br/>
 <br/>
 <ul>
  <li>
   Complex Problem Solving:
   <br/>
   <br/>
  </li>
 </ul>
 Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
 <br/>
 <br/>
 <ul>
  <li>
   Professional Know-How:
   <br/>
   <br/>
  </li>
 </ul>
 Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.
 <br/>
 <br/>
 <strong>
  Responsibilities &amp; Accountabilities (contd.)
  <br/>
  <br/>
 </strong>
 Responsibilities and Accountabilities:
 <br/>
 <br/>
 <ul>
  <li>
   Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
  </li>
  <li>
   Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
  </li>
  <li>
   Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
  </li>
  <li>
   Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities And Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
  </li>
  <li>
   Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
  </li>
  <li>
   Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
  </li>
  <li>
   Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
  </li>
  <li>
   Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
  </li>
  <li>
   Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
  </li>
  <li>
   Ensure robust documentation, explainability, and auditability of all models and analytics solutions
   <br/>
   <br/>
  </li>
 </ul>
 Professional Certifications
 <br/>
 <br/>
 Relevant certifications in AI/ML, MLOps, and Data Governance.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments
 <br/>
 <br/>
 Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 8 years of relevent experience
</div>


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