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artificial intelligence engineer Jobs in Abu Dhabi

artificial intelligence engineer

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ai engineers – agentic ai platform Jobs in Abu Dhabi

ai engineers – agentic ai platform

cloud solution architecture-security Jobs in Abu Dhabi

cloud solution architecture-security

ai solutions architect

EPAM Systems

<div>
 <p>
  EPAM is seeking a highly skilled and experienced
  <strong>
   AI Solutions Architect
  </strong>
  to join our team. The ideal candidate will be responsible for designing and implementing innovative solutions using
  <strong>
   Azure AI
  </strong>
  and
  <strong>
   Azure OpenAI
  </strong>
  services. This role is critical in automating and enhancing system maintenance notifications through AI-driven text generation, classification and validation, contributing to scalable and efficient system performance. You will work across the entire lifecycle of the product, from concept and design to deployment, ensuring seamless integration and continuous improvement.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design robust, scalable and secure cloud-native solutions that leverage Azure AI and OpenAI technologies and services
  </li>
  <li>
   Oversee the implementation process, ensuring alignment with business objectives and industry best practices
  </li>
  <li>
   Develop automated processes for classification, validation and generating text suggestions using Azure AI
  </li>
  <li>
   Integrate AI solutions into existing systems to optimize communication and data processing
  </li>
  <li>
   Establish and maintain a CI/CD pipeline for continuous integration and delivery using Azure DevOps
  </li>
  <li>
   Monitor cloud implementations and make recommendations for improvements in terms of performance, cost-efficiency and security
  </li>
  <li>
   Ensure that all cloud solutions comply with industry regulations and security standards
  </li>
  <li>
   Work closely with clients to understand their business needs and technical requirements
  </li>
  <li>
   Provide expert guidance and architectural recommendations for cloud modernization, configurations and optimizations
  </li>
  <li>
   Lead proof of concept (PoC) initiatives to validate proposed solutions and demonstrate their feasibility
  </li>
  <li>
   Foster a collaborative environment and ensuring successful project delivery
  </li>
  <li>
   Stay abreast of the latest Azure services and technologies
  </li>
  <li>
   Advocate for innovative Gen-AI cloud solutions that can enhance business performance and provide competitive advantages
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems or a related field
  </li>
  <li>
   At least 5-7 years of experience working with Microsoft Azure, covering solution design, implementation and management in a cloud environment
  </li>
  <li>
   At least 2-3 years of experience with AI/Gen-AI technologies, specifically with Azure AI and Azure OpenAI services
  </li>
  <li>
   Extensive experience in architecting, deploying and managing solutions using Azure AI and Azure OpenAI services
  </li>
  <li>
   Deep understanding of Azure architecture, services and best practices
  </li>
  <li>
   Strong knowledge of natural language processing (NLP) and automated text generation
  </li>
  <li>
   Expertise in designing serverless architectures and integrating AI-driven automation solutions
  </li>
  <li>
   Hands-on experience with CI/CD pipelines and Azure DevOps
  </li>
  <li>
   Deep understanding of software development lifecycles and best practices in cloud environments
  </li>
  <li>
   Azure Solutions Architect Expert certification or other relevant Azure certifications
  </li>
  <li>
   Excellent verbal and written communication abilities; proficient at engaging with clients and stakeholders at all levels
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to lead projects and collaborate with multiple stakeholders
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Fluency in Arabic is strongly preferred for this role, as it will facilitate effective communication and collaboration with our regional teams and stakeholders
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   We offer
  </strong>
 </p>
 <ul>
  <li>
   End of service gratuity
  </li>
  <li>
   Private healthcare and life insurance
  </li>
  <li>
   Employee assistance program
  </li>
  <li>
   Wellness program
  </li>
  <li>
   Annual air travel allowance for expatriates
  </li>
  <li>
   Regular performance feedback and salary reviews
  </li>
  <li>
   Global travel medical and accident insurance
  </li>
  <li>
   Referral bonuses
  </li>
  <li>
   Learning and development opportunities including in-house training and coaching, professional certifications, and courses
  </li>
 </ul>
</div>


Azure AI Solution Architect

ENEC Operations

<div>
 <p>
  The Data and AI Engineering Expert is a senior hands-on technical authority responsible for the design, development, and operationalization of enterprise data and AI platforms across ENEC. This role leads the engineering delivery of scalable, secure, and compliant data pipelines, AI/ML solutions, and analytics platforms leveraging technologies such as Databricks (Delta Lake, Unity Catalog, MLflow, Delta Live Tables), Microsoft Azure (Azure Data Factory, Azure ML, Microsoft Fabric, Azure AI Foundry, Copilot Studio), Collibra (Data Governance &amp; Data Quality), Power BI, and OT/industrial data systems including PI System, SCADA, and DCS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Expert applies deep engineering expertise to architect and deliver production-grade solutions, ensures data governance and quality standards are upheld, and drives the adoption of AI and analytics capabilities that directly support ENEC's mission of safe, innovative, and efficient nuclear energy generation. This role acts as a principal technical contributor and mentor, enabling operational excellence and digital transformation at scale.
 </p>
 <p>
  Activity: Data Engineering Architecture &amp; Platform Development
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Design, build, and maintain scalable, secure, and high-performance data platforms including Lakehouse architectures using Databricks Delta Lake, Unity Catalog, and Delta Live Tables (DLT).
 </p>
 <p>
  &bull; Develop and operationalize robust data pipelines, ETL/ELT workflows, and integration frameworks using Azure Data Factory, Databricks Workflows, and related orchestration tools.
 </p>
 <p>
  &bull; Architect and implement data models, semantic layers, and data products that serve enterprise analytics, AI, and reporting needs.
 </p>
 <p>
  &bull; Ensure seamless integration of OT and industrial data sources &mdash; including PI System, SCADA, and DCS &mdash; into enterprise data platforms.
 </p>
 <p>
  &bull; Design and implement APIs, data contracts, and integration frameworks to enable enterprise-wide data consumption.
 </p>
 <p>
  &bull; Ensure platform scalability, resilience, high availability, and disaster recovery capabilities in compliance with nuclear and regulatory requirements.
 </p>
 <p>
  &bull; Apply and enforce data standards, naming conventions, and metadata management practices across all data assets using Collibra and Unity Catalog.
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Design, develop, and deploy production-grade machine learning, deep learning, and generative AI models using Azure ML, MLflow, and Databricks ML.
 </p>
 <p>
  &bull; Engineer end-to-end MLOps pipelines covering model training, versioning, validation, deployment, monitoring, and retraining &mdash; ensuring reliability and reproducibility.
 </p>
 <p>
  &bull; Build and operationalize AI-powered solutions including predictive analytics, anomaly detection, natural language processing (NLP), and GenAI/LLM-based applications using Azure AI Foundry and Copilot Studio.
 </p>
 <p>
  &bull; Develop BI and semantic models in Microsoft Fabric and Power BI, enabling self-service analytics and executive reporting across the organization.
 </p>
 <p>
  &bull; Apply Responsible AI principles and governance frameworks to all AI and ML solutions, ensuring explainability, fairness, and compliance.
 </p>
 <p>
  &bull; Conduct rigorous model evaluation, performance benchmarking, and validation to ensure solutions meet accuracy, reliability, and safety standards.
 </p>
 <p>
  &bull; Contribute to the continuous improvement of AI engineering standards, patterns, and reusable components across the enterprise.
 </p>
 <p>
  Activity: Advanced Subject Matter Knowledge
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Demonstrates deep, hands-on expertise in enterprise data engineering, AI/ML platform development, and cloud-native architectures within highly regulated environments.
 </p>
 <p>
  &bull; Maintains current knowledge of global trends in data engineering, MLOps, GenAI, cloud technologies (Azure, hybrid, on-premise), and nuclear industry compliance requirements.
 </p>
 <p>
  &bull; Understands the full lifecycle of data and AI platforms including design, development, testing, deployment, monitoring, and decommissioning.
 </p>
 <p>
  &bull; Applies comprehensive knowledge of data governance frameworks (Collibra, Unity Catalog), master data management, data quality, and lineage management.
 </p>
 <p>
  &bull; Possesses strong awareness of OT/IT convergence, industrial data systems (PI System, SCADA, DCS), and their integration into enterprise analytics environments.
 </p>
 <p>
  &bull; Maintains expert-level proficiency in programming languages and frameworks including Python, SQL, Spark, and relevant AI/ML libraries.
 </p>
 <p>
  Activity: Complex Problem Solving &amp; Innovation
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Tackles complex, ambiguous engineering challenges in data platform architecture, AI model development, and system integration &mdash; delivering innovative, compliant, and production-ready solutions.
 </p>
 <p>
  &bull; Leads root cause analysis and corrective/preventive actions for platform incidents, data quality failures, model degradation, and system disruptions.
 </p>
 <p>
  &bull; Develops and implements robust engineering solutions to address performance bottlenecks, scalability constraints, and integration challenges.
 </p>
 <p>
  &bull; Navigates conflicting technical requirements, evolving regulatory standards, and stakeholder needs to deliver optimal engineering outcomes.
 </p>
 <p>
  &bull; Drives continuous improvement by benchmarking against global engineering best practices, evaluating emerging technologies, and implementing lessons learned.
 </p>
 <p>
  &bull; Leads proof-of-concept and pilot initiatives to evaluate new data and AI technologies and engineering approaches
 </p>
 <p>
  <br/>
 </p>
 <p>
  Activity: Applied Skills &amp; Professional Know-How
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Expertly engineers, deploys, and operates scalable, secure, and compliant data and AI platforms across Databricks, Azure, and OT environments.
 </p>
 <p>
  &bull; Applies hands-on proficiency in building data pipelines, ML models, GenAI solutions, BI semantic models, and governance frameworks in production environments.
 </p>
 <p>
  &bull; Mentors and develops junior and mid-level data engineers, data scientists, and analytics engineers &mdash; building future-ready technical capabilities.
 </p>
 <p>
  &bull; Leads technical design reviews, code reviews, and architecture assessments to uphold engineering quality and best practices.
 </p>
 <p>
  &bull; Effectively translates complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
 </p>
 <p>
  &bull; Documents solutions, engineering patterns, and technical standards to build institutional knowledge and enable knowledge transfer.
 </p>
 <p>
  Activity: Security, Governance &amp; Compliance
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Design and enforce data security, access control, and privacy frameworks across all data and AI platforms using Unity Catalog, Collibra, and Azure security controls.
 </p>
 <p>
  &bull; Ensure all data engineering and AI solutions comply with national and international nuclear regulations, FANR requirements, and Responsible AI principles.
 </p>
 <p>
  &bull; Maintain comprehensive data lineage, audit trails, and documentation to support regulatory, audit, and governance requirements.
 </p>
 <p>
  &bull; Implement and enforce data quality frameworks and data governance policies using Collibra Data Quality and Unity Catalog.
 </p>
 <p>
  &bull; Conduct regular platform security assessments, data quality audits, and compliance reviews.
 </p>
 <p>
  &bull; Oversee risk management, audit readiness, and the implementation of robust technical controls for all platform operations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum
  </strong>
 </p>
 <p>
  &bull; Bachelor&rsquo;s degree in computer science, Information Technology, Data Management, Engineering, or related discipline.
 </p>
 <p>
  &bull; Minimum 12+ years' hands-on experience in enterprise data engineering, AI/ML platform development, and cloud-native architectures, including production deployment and operations.
 </p>
 <p>
  &bull; Experience embedding governance within modern data platforms (preferably Databricks) and integrating SAP/Oracle ERP domains.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Master&rsquo;s degree in a relevant field.
 </p>
 <p>
  &bull; Experience in energy, utilities, nuclear, financial services, government, or other highly regulated sectors.
 </p>
 <p>
  &bull; Demonstrated AI governance experience (provenance, bias monitoring, model data requirements) in data bricks or similar AI/analytics platforms exposure.
 </p>
 <p>
  &bull; Demonstrated experience leading large-scale data and AI engineering programs
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certification -
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Multiple cloud and AI certifications. Microsoft Fabric, Azure AI Foundry, or Databricks Unity Catalog specialty certifications. Industry publications or contributions in data engineering or AI.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Relevant certifications in one or more of: Databricks (Data Engineer Associate/Professional, ML Professional), Microsoft Azure (Data Engineer, AI Engineer, Solutions Architect), MLOps, or Data Governance (Collibra).
 </p>
</div>


Data and AI Engineering Expert

D4 Insight

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 5+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
We are seeking AI Engineer to build and orchestrate advanced Agentic AI solutions within a banking AI Center of Excellence. The role focuses on Intelligent Document Processing (IDP), LLM-powered workflows, LangGraph orchestration, and enterprise AI deployments.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Design and develop Agentic AI workflows using LangGraph.</li>
<li>Build LLM-powered extraction and document processing pipelines.</li>
<li>Integrate Azure AI services, APIs, and MCP tools.</li>
<li>Implement HITL (Human-in-the-Loop) validation mechanisms.</li>
<li>Define prompt governance, model evaluation, and AI guardrails.</li>
<li>Collaborate with business teams to translate banking requirements into AI solutions.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>Python</li>
<li>LangGraph &amp; Agentic AI Frameworks</li>
<li>Azure AI Services</li>
<li>Prompt Engineering</li>
<li>APIs &amp; Integrations</li>
<li>AI Evaluation Frameworks</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

AI Engineer – Agentic AI & Intelligent Document Processing

Atain

<div>
 <p>
  We are seeking a highly skilled AI Engineer with strong expertise in Microsoft Dynamics integrations and Microsoft Copilot enablement within the Dynamics ecosystem. The ideal candidate will have hands-on experience designing AI-powered enterprise solutions, integrating Dynamics 365 with internal and external platforms, and configuring Copilot capabilities to enhance business operations and customer experiences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
  Candidates with prior experience in the airline or aviation industry will be strongly preferre
 </p>
 <p>
  <br/>
 </p>
 <p>
  d
  <br/>
  Key Responsibilitie
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   s:
   <br/>
   Design, develop, and maintain AI-driven solutions integrated with Microsoft Dynamics
  </li>
  <li>
   365Configure and enable Microsoft Copilot capabilities across the Dynamics ecosys
  </li>
  <li>
   temBuild and support integrations between Dynamics 365 and enterprise systems using APIs, middleware, and cloud servi
  </li>
  <li>
   cesCollaborate with business stakeholders to identify AI automation and productivity opportunit
  </li>
  <li>
   iesImplement conversational AI, intelligent workflows, and copilots for customer service, operations, and employee productiv
  </li>
  <li>
   ityWork with Azure AI services, OpenAI integrations, and Microsoft Power Platform technolog
  </li>
  <li>
   iesDevelop secure and scalable data pipelines for AI model consumption and enterprise report
  </li>
  <li>
   ingOptimize Dynamics workflows using AI-assisted automation and predictive capabilit
  </li>
  <li>
   iesSupport deployment, monitoring, and governance of AI-enabled enterprise applicati
  </li>
  <li>
   onsEnsure compliance with enterprise security, privacy, and governance standa
  </li>
  <li>
   rdsParticipate in architecture discussions, solution design, and technical documentat
  </li>
 </ul>
 <p>
  <br/>
 </p>
 ion
</div>


Microsoft Dynamics Consultant

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 AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 <br/>
 <br/>
 At DeepLight, we don't believe in "off-the-shelf" 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.
 <br/>
 <br/>
 The Senior AI DevOps Engineer is a senior technical leadership position responsible for designing and implementing secure, scalable, and highly compliant cloud architectures across both Azure and AWS for core banking and AI platforms. Operating at the intersection of enterprise architecture and automated platform engineering, this role translates complex business requirements into robust high-level (HLD) and low-level designs (LLD). The successful candidate leads the institution's hybrid-cloud strategy, FinOps optimization, and zero-trust security implementations, ensuring all cloud-native platforms maintain absolute alignment with financial regulations (e.g., PCI-DSS, ISO/IEC 27001) while providing technical mentorship to engineering squads.
 <br/>
 <br/>
 <strong>
  You responsibilities within this role include:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid Cloud Architectural Design: Architect and engineer secure, resilient multi-cloud infrastructures spanning Azure and AWS, creating comprehensive high-level and low-level technical designs
  </li>
  <li>
   Security, Compliance &amp; Governance: Implement enterprise-grade cloud governance frameworks, enforcing automated compliance-as-code and zero-trust network boundaries to meet strict financial regulatory baselines
  </li>
  <li>
   FinOps &amp; Resource Optimization: Establish cloud cost-management frameworks and resource optimization strategies to ensure high-performance infrastructure remains cost-effective
  </li>
  <li>
   CI/CD &amp; Pipeline Governance: Design and secure end-to-end multi-cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls
  </li>
  <li>
   Technical &amp; Stakeholder Leadership: Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade-offs clearly
  </li>
  <li>
   Engineering Mentorship: Provide technical guidance and mentorship to mid-level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management
   <br/>
   <br/>
  </li>
 </ul>
 Senior leaders at DeepLight are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.
 <br/>
 <br/>
 <strong>
  Coaching
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Growing future leaders through mentorship and feedback
  </li>
  <li>
   Empowering your teams to think independently and learn continuously
  </li>
  <li>
   Fostering a culture of curiosity, reflection, and resilience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Aligning strategy with execution and ensuring delivery excellence
  </li>
  <li>
   Setting clear goals and objectives, driving accountability, and supporting performance
  </li>
  <li>
   Leading with transparency, integrity, and trust
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  As an AI consultancy, our greatest asset is the expertise of our people.
  <br/>
  <br/>
  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.
  <br/>
  <br/>
  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.
  <br/>
  <br/>
  You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
  <br/>
  <br/>
  If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
  <br/>
  <br/>
 </em>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 We need you to have:
 <br/>
 <br/>
 <ul>
  <li>
   In-depth technical architecture knowledge across both AWS and Azure environments, specifically touching identity ecosystems, serverless workloads, and database engines
  </li>
  <li>
   Deep practical knowledge of designing architectures that strictly comply with banking standards such as PCI-DSS, ISO/IEC 27001, and local financial regulations
  </li>
  <li>
   Advanced capability in drafting complex, modular, and reusable enterprise infrastructure templates utilizing tools like Terraform or Bicep
  </li>
  <li>
   Proficiency in structuring secure network typologies, cloud-native firewalls, private service endpoints, and cross-cloud secure mesh routings
  </li>
  <li>
   Exceptional capability to articulate abstract technical architectures into concrete business value summaries for senior non-technical leadership
  </li>
  <li>
   A minimum of 8 years in infrastructure engineering, cloud operations, or systems architecture, with at least 3 years explicitly spent operating as a Senior Engineer or Tech Lead across dual-cloud environments
  </li>
  <li>
   Documented experience designing and engineering automated infrastructure within a regulated tier-1 or tier-2 banking or insurance institution
  </li>
  <li>
   A proven track record of authoring, defending, and delivering production-ready High-Level Designs (HLDs) and Low-Level Designs (LLDs) to corporate architecture boards
  </li>
  <li>
   Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross-functional platform delivery squads
   <br/>
   <br/>
  </li>
 </ul>
 It would also be an advantage if you have:
 <br/>
 <br/>
 <ul>
  <li>
   High-level certifications such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, CISSP, or advanced FinOps credentials
  </li>
  <li>
   Conceptual or hands-on mastery over enterprise Kubernetes platforms (AKS/EKS), including automated policy engines and workload identity controls
  </li>
  <li>
   Familiarity with deploying and scaling cloud infrastructure optimized for machine learning data pipelines, model registries, and LLM orchestration layers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  The benefits you'll enjoy as part of this role include:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  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.
  <br/>
  <br/>
  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.
  <br/>
  <br/>
 </em>
 <em>
  Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
  <br/>
  <br/>
 </em>
 <em>
  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.
 </em>
</div>


Senior AI DevOps Engineer

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