data architect

Norton Blake

<div>
 <p>
  <strong>
   Senior Erwin Data Modeler, 6 months Contract, Start ASAP, UAE, Erwin
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're looking for an experienced
  <strong>
   Erwin Data Modeler
  </strong>
  to lead the establishment of an enterprise data modelling capability for a large-scale transformation programme.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This will be a long term contract (initially 6months), UAE based on site 5 days a week.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on role where you'll be responsible for designing and governing conceptual, logical and physical data models while helping shape enterprise-wide data standards and governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Configure and administer Erwin Data Modeler and Erwin Mart
  </li>
  <li>
   Design conceptual, logical and physical data models
  </li>
  <li>
   Define and document authoritative data registers
  </li>
  <li>
   Develop physical models for IBM DB2 Warehouse and Databricks Delta Lake
  </li>
  <li>
   Reverse engineer existing database structures where required
  </li>
  <li>
   Ensure full traceability between business requirements and data models
  </li>
  <li>
   Work closely with data governance and metadata teams, including Microsoft Purview
  </li>
  <li>
   Produce modelling documentation and approval packs
  </li>
  <li>
   Facilitate stakeholder workshops and drive modelling best practice
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Experience
  </strong>
 </p>
 <ul>
  <li>
   Extensive commercial experience with Erwin Data Modeler
  </li>
  <li>
   Strong background in conceptual, logical and physical data modelling
  </li>
  <li>
   Experience administering Erwin Mart
  </li>
  <li>
   IBM DB2 Warehouse experience
  </li>
  <li>
   Databricks Delta Lake knowledge
  </li>
  <li>
   Enterprise Data Governance and Metadata Management
  </li>
  <li>
   Data lineage and traceability
  </li>
  <li>
   Strong stakeholder engagement and workshop facilitation skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Highly Desirable
  </strong>
 </p>
 <ul>
  <li>
   Microsoft Purview
  </li>
  <li>
   Government or public sector experience
  </li>
  <li>
   Enterprise Architecture
  </li>
  <li>
   Data governance frameworks
  </li>
  <li>
   GIM / UDM knowledge
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're an experienced Enterprise Data Modeller with deep Erwin expertise and are looking for your next contract, we'd love to hear from you.
 </p>
 <p>
  <br/>
 </p>
</div>


Data Modeler

DICETEK LLC

<div><p><b>Role Summary</b></p><p>
The Senior Engineer &ndash; Data Governance &amp; Platform Lead (IB&amp;M) is a hands-on senior technical role responsible for defining, implementing, and governing the IB&amp;M Data Platform with a strong focus on data governance, quality, lineage, security, and platform standards.</p><p>
The role will work closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams to ensure data is trusted, compliant, and scalable across the enterprise. This is not a people‑management role but requires strong technical leadership and ownership across the data lifecycle.</p><p>
<b>Key Responsibilities</b></p><ul><li>
Define and govern the IB&amp;M Data Platform, ensuring strong data governance, quality, lineage, security, and compliance.
</li><li>Lead the design and implementation of scalable data platform standards across Azure Lakehouse (ADLS, Databricks, Delta Lake).
</li><li>Provide technical leadership on data architecture, platform engineering, and governance best practices.
</li><li>Collaborate with Global Markets, Risk, Compliance, Analytics, and engineering teams to deliver trusted and compliant data solutions.
</li><li>Review solution designs, establish platform standards, and ensure scalability, performance, security, and regulatory compliance.</li></ul><p></p><p><b><br>
Experience</b></p><ul><li><b>10+ years</b> of experience in <b>Data Engineering, Data Platforms, or Data Architecture</b></li><li>Proven experience leading <b>data governance initiatives</b> in large, regulated environments (Banking / Financial Services preferred)</li><li>Strong background supporting <b>Global Markets / Investment Banking</b> data domains is highly desirable</li></ul><p><b>
Technical Skills</b></p><ul><li>Strong hands-on experience with:
</li></ul><p>o <b>Azure Data Lake (ADLS)</b></p><p>
o <b>Databricks / Delta Lake / Lakehouse architectures</b></p><p>
o Data quality, schema enforcement, and validation frameworks</p><ul><li>Experience with <b>data cataloging and governance tools</b> (e.g., Unity Catalog, Informatica Axon or similar)
</li><li>Solid understanding of:
</li></ul><p>o Data modeling (analytical and canonical models)</p><p>
o Metadata management and lineage</p><p>
o Secure data access and entitlements</p><ul><li>Good understanding of <b>AI/ML and analytics enablement</b> within governed data platforms</li></ul><p><b>
Soft Skills</b></p><ul><li>Strong ownership mindset with ability to work independently</li><li>Excellent stakeholder management and communication skills</li><li>Ability to translate regulatory and business requirements into technical solutions</li><li>Comfortable working in <b>complex, multi‑vendor, enterprise environments</b></li></ul></div><p></p>

Data Governance & Platform Lead – IB&M

J10 Consulting

<div><p><b>The Role</b></p><p>
Our Multi National Supervision Consultancy client has a new requirement for a well experienced Site Architect to join their team in Abu Dhabi, UAE. Successful candidates will have a proven background as a Site Architect on new build projects in the UAE and ideally have worked for a recognised design or engineering consultancy company previously,</p><p>
This role is available for immediate joining and is for an initial 5 month contract as an outsourced employee through J10 Consulting.</p><p>
Key Responsibilities:</p><ul><li>The Site Architect will be based on-site and will support the implementation of the architectural design during the construction phase. The role involves monitoring architectural works, ensuring that works are executed in accordance with approved drawings, specifications, and relevant local authority regulations and project standards, while assisting in coordination with contractors and other disciplines. The Site Architect will work closely with the Senior Architect and the wider project team to maintain design integrity, resolve site issues, and monitor construction quality and progress.</li></ul>
&bull; Review architectural shop drawings and material submittals to ensure compliance with approved design documents and project specifications. Highlight discrepancies and coordinate with the Senior Architect for final approval. &bull; Monitor daily site activities to ensure architectural works are executed according to approved drawings, specifications, and quality standards.<br>
<ul><li>Conduct regular site inspections to verify workmanship, material quality, and adherence to design intent. Report non-conformities and follow up on corrective actions.</li><li>Assist in coordinating architectural works with other disciplines such as structural, MEP, landscape, and ID to ensure seamless integration on-site.</li><li>Support the Senior Architect in resolving design-related issues by preparing sketches, clarifications, and coordinating with the design office when required.</li><li>Attend site meetings and coordination sessions, documenting discussions, action items, and ensuring timely follow-up on assigned tasks.</li><li>Maintain organized records of drawings, RFIs, submittals, site instructions, and correspondence.</li><li>Ensure compliance with local regulations and safety standards by monitoring site practices and reporting any violations.</li><li>Assist in reviewing mock-ups and material samples to ensure alignment with design intent and project requirements.</li><li>Prepare site reports summarizing progress, issues, inspections, and observations for submission to the Senior Architect or Resident Engineer.</li><li>Support the preparation and verification of as-built drawings throughout the construction process.</li><li>Coordinate with contractors to clarify design requirements and ensure timely execution of architectural works.</li><li>Identify potential delays or risks related to architectural works and escalate them to the Senior Architect for action.</li></ul><p><b>
Requirements</b></p><p>
Site Architect Experience:</p><ul><li>Bachelor&rsquo;s degree in Architecture</li><li>Minimum 5&ndash;8 years of architectural experience, with at least 3&ndash;5 years working on-site in the UAE or GCC region.</li><li>Good understanding of UAE building codes and construction regulations.</li><li>Strong technical knowledge of architectural detailing, materials, and construction methodologies.</li><li>Proficiency in AutoCAD, Revit, and other architectural software; familiarity with BIM workflows is a plus.</li><li>Strong communication and coordination skills with the ability to work effectively with contractors, consultants, and multidisciplinary teams.</li><li>Solid problem-solving abilities with a proactive approach to addressing site challenges.</li><li>High attention to detail and commitment to maintaining design quality on-site.</li><li>Understanding of construction sequencing and site management practices.</li></ul><p><b>
About the company</b></p><p>
J10 Consulting are Construction Recruitment experts in the Middle East.</p><p>
We help businesses and careers grow by delivering Temporary Contract &amp; Permanent Contingency hiring solutions within Construction &amp; Engineering in the UAE, Saudi Arabia, Qatar, Oman, Bahrain &amp; Kuwait</p><p>
J10 Consulting provide collaborative engagement and a deep understanding of both client and candidate requirements to cover temporary and permanent requirements across a number of vertical markets within Construction &amp; Engineering.</p></div>

Site Architect

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><b>Overview</b><div><p><br>
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.</p><p>
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.</p></div><div><p>
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.</p></div><b><br>
Responsibilities</b><p></p><div><ul><li><p><br>
Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
</p></li></ul></div><div><ul><li><p>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.
</p></li></ul></div><div><ul><li><p>Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes</p></li></ul></div><div><ul><li><p>
Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations</p></li></ul></div><div><ul><li><p>
Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health</p></li></ul></div><div><ul><li><p>
Customer Impact: Improve security posture with scalable, resilient, and high-performing designs</p></li></ul></div><div><ul><li><p>
Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes</p></li></ul></div><div><ul><li><p>
Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers</p></li></ul></div><div><ul><li><p>
Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security</p></li></ul></div><div><ul><li><p>
Practice Development: Contribute to capability building across CSA community and complex solution delivery</p></li></ul></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
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.</p></li></ul></div><div><ul><li><p>
Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
</p></li></ul></div><div><ul><li><p>Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)</p></li></ul></div></div><div><div><ul><li><p>
Microsoft Sentinel</p></li></ul></div><div><ul><li><p>
Microsoft Entra (identity, Conditional Access, lifecycle governance)</p></li></ul></div><div><ul><li><p>
Microsoft Purview (data security, compliance, governance)</p></li></ul></div><div><ul><li><p>
Demonstrated experience securing AI‑powered workloads, including:
</p></li></ul></div><div><ul><li><p>Identity, access control, and least‑privilege enforcement</p></li></ul></div><div><ul><li><p>
Data protection and information governance</p></li></ul></div><div><ul><li><p>
Threat detection, posture management, and incident response for AI systems
</p></li></ul></div><div><ul><li><p>Hands‑on understanding of agentic architectures, including:
</p></li></ul></div><div><ul><li><p>AI agents, copilots, or autonomous systems</p></li></ul></div><div><ul><li><p>
Agent identity, lifecycle, and access management concepts</p></li></ul></div><div><ul><li><p>
Observability, logging, and behavioural monitoring for autonomous systems
</p></li></ul></div><div><p><b>Preferred Qualifications</b></p></div><div><ul><li><p>
Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms</p></li></ul></div><div><ul><li><p>
Familiarity with AI security architecture patterns, including:
</p></li></ul></div><div><ul><li><p>Secure model access and isolation</p></li></ul></div><div><ul><li><p>
Guardrails, policy enforcement, and content safety</p></li></ul></div><div><ul><li><p>
AI workload discovery and posture management</p></li></ul></div><div><ul><li><p>
Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification</p></li></ul></div><div><ul><li><p>
Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
</p></li></ul></div><div><ul><li><p>Microsoft certifications such as:
</p></li></ul></div></div><div><div><ul><li><p>SC‑100: Cybersecurity Architect</p></li></ul></div><div><ul><li><p>
SC-200: Security Operations Analyst Associate</p></li></ul></div><div><ul><li><p>
SC-300: Identity and Access Administrator Associate</p></li></ul></div><div><ul><li><p>
AI-900: Microsoft Azure AI Fundamentals</p></li></ul></div><div><ul><li><p>
AZ-500: Azure Security Engineer Associate</p></li></ul><div><p><b>
Core Skills &amp; Attributes :</b></p></div><div><ul><li><p>
Strong hands‑on engineering mindset with architectural thinking
</p></li></ul></div><div><ul><li><p>Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
</p></li></ul></div><div><ul><li><p>Comfortable working across security, AI, and platform teams
</p></li></ul></div><div><ul><li><p>Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
</p></li></ul></div><div><ul><li><p>Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem</p></li></ul></div><div><ul><li><p>
Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams</p></li></ul></div><div><ul><li><p>
Ability to engage with CISOs, security architects, and IT leadership</p></li></ul></div><div><ul><li><p>
Proven customer‑facing delivery experience</p></li></ul></div><div><ul><li><p>
The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><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<b>.</b></p></div>

Cloud Solution Architecture-Security

<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>


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

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