listing agent

AMLAK ONE Real Estate L.L.C

<p>Job Summary</p><p>Amlak One Real Estate is seeking a motivated and results-driven Listing Agent to join our growing team. The ideal candidate will be responsible for securing exclusive property listings, building strong relationships with property owners, and ensuring all listings are accurately marketed across company platforms. The successful candidate should have excellent communication, negotiation, and sales skills with a passion for the real estate industry.</p><p>Key Responsibilities</p><ul><li>Generate new property listings through prospecting, networking, and referrals.</li><li>Meet with property owners to evaluate and secure exclusive listings.</li><li>Conduct property inspections and collect accurate property information.</li><li>Coordinate professional photography, videos, and marketing materials.</li><li>Prepare listing agreements and ensure all documentation is complete.</li><li>Upload and maintain property listings on CRM systems and property portals.</li><li>Monitor market trends and provide pricing recommendations to property owners.</li><li>Build and maintain long-term relationships with landlords and property investors.</li><li>Work closely with the sales team to maximize property exposure and close transactions.</li><li>Achieve monthly listing and performance targets.</li><li>Ensure compliance with UAE real estate regulations and company policies.</li></ul><p>Requirements</p><ul><li>Previous experience in UAE real estate is preferred.</li><li>Strong communication and negotiation skills.</li><li>Ability to generate leads and build client relationships.</li><li>Good knowledge of Abu Dhabi real estate market.</li><li>Valid UAE driving license is preferred.</li><li>Self-motivated, target-oriented, and professional.</li><li>Proficiency in Microsoft Office and CRM systems.</li></ul><p>Benefits</p><ul><li>Basic Salary: AED 4,000 per month</li><li>Attractive commission structure</li><li>Professional training and career development</li><li>Marketing support and CRM tools</li><li>Opportunity to grow within a leading real estate brokerage</li></ul><p>Join Amlak One Real Estate and become part of a dynamic team committed to delivering exceptional real estate services while building a rewarding career.</p><p>Work Location: In person</p>

Listing Agent

La Maison Real Estate

<p>We are Hiring <b>Listing Coordinator</b> at <b>La Maison Real Estate.</b></p><p>Are you a detail-oriented professional with at least 1 year of real estate experience? Do you thrive in organized, fast-paced environments and take pride in making every listing flawless? Join our award-winning team as a <b>Listing Coordinator</b>, where your work powers our success and your growth matters!</p><p><b>About La Maison Real Estate</b></p><p>We&rsquo;re proud to be a <i><b>Great Place to Work&reg;</b></i> Certified organization, a testament to our supportive culture, collaborative spirit, and commitment to our team&rsquo;s well-being. At <b>La Maison Real Estate</b> we combine innovation, integrity, and client-focused service to deliver exceptional real estate experiences every day.</p><p><b>Key Responsibilities</b></p><p>&middot; Conduct in-depth property and ownership research using database.</p><p>&middot; Qualify leads based on motivation, timeline, property condition, and market readiness</p><p>&middot; Experience preparing or managing MOUs, lease agreements, Tawtheeq, SPA and ownership verification documents</p><p>&middot; Excellent interpersonal and communication skills, with the ability to engage professionally with landlords and owners</p><p><b>What You Bring</b></p><p>&middot; Minimum 1 year of hands-on experience in residential real estate as a Listing Coordinator</p><p>&middot; Strong organizational skills with the ability to manage 10+ active listings simultaneously</p><p>&middot; Excellent communication and proactive problem-solving abilities</p><p><b>Why You&rsquo;ll Love Working With Us</b></p><p>✅ Competitive basic salary plus commission</p><p>✅ Work at a Great Place to Work&reg; Certified company that values trust, respect, and inclusion</p><p>✅ Collaborative, supportive team environment</p><p>✅ Real career growth in a high-performing real estate organization</p><p>Ready to build your future with a team that invests in you?</p><p>Send your resume and a brief note about your real estate experience to</p><p>heba.a@lamaison-re.com</p><p>We can&rsquo;t wait to welcome you!</p><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Listing Coordinator: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

MASCORP HOLDING

<p><b>Position Overview</b></p><p>The Listing Agent will be responsible for sourcing new properties, maintaining relationships with property owners, and securing quality listings for the company's sales and leasing divisions. This role is ideal for individuals with strong networking and negotiation skills who are passionate about the Abu Dhabi real estate market.</p><p><b>Key Responsibilities</b></p><ul><li>Source residential and commercial properties for sale and lease across Abu Dhabi</li><li>Build and maintain strong relationships with landlords, property owners, and investors</li><li>Conduct property inspections and gather accurate property information</li><li>Secure new property listings and exclusive mandates</li><li>Negotiate listing agreements and terms with property owners</li><li>Coordinate with marketing and portal teams to ensure timely and accurate property advertising</li><li>Maintain updated property records and documentation within the CRM system</li><li>Monitor market trends and competitor activity to identify listing opportunities</li><li>Follow up with property owners regularly to maintain strong business relationships</li><li>Achieve monthly listing acquisition targets</li></ul><p><b>Requirements</b></p><ul><li>1&ndash;2 years of experience in Abu Dhabi real estate, preferably in listings, sales, leasing, or property acquisition</li><li>Strong communication, negotiation, and relationship-building skills</li><li>Knowledge of the Abu Dhabi property market and real estate processes</li><li>Ability to work independently and achieve performance targets</li><li>Good organizational and time-management skills</li><li>Familiarity with CRM systems and property portals is an advantage</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Immediate joiners preferred</li></ul><p><b>Benefits</b></p><ul><li>Competitive salary package</li><li>Attractive performance-based commission</li><li>Employment visa provided</li><li>Career growth and professional development opportunities</li><li>Supportive and collaborative work environment</li></ul><p><b>Application</b></p><p>Interested candidates may apply through Indeed.</p><p>Only shortlisted candidates will be contacted.</p><p>Pay: Up to AED5,000.00 per month</p><p>Work Location: In person</p>

Listing Officer - Real Estate

Arcus Search

<div>
 <p>
  This is a contract role - Remote - Upto 30,000 AED/ month
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 <p>
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  <br/>
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  Senior LLM / AI Engineer &ndash; Agentic AI &amp; Platform Engineering
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 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  We are building an AI-powered enterprise platform that uses agentic AI to transform unstructured domain data into structured, actionable intelligence. As a Senior LLM / AI Engineer, you will design and build the core AI orchestration layer: multi-agent workflows, retrieval-augmented generation pipelines, tool-calling infrastructure, and the deterministic reasoning systems that make LLM outputs reliable enough for production use.
 </p>
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  <br/>
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  This is not a research role. You will build production application services that real users depend on. You need to be equally strong in LLM engineering (prompting, structured outputs, evaluation) and software engineering (APIs, databases, deployment). We are looking for someone who can architect an agentic system from scratch, implement it in FastAPI, evaluate it rigorously, and operate it in production.
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  <strong>
   Key Responsib
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    ilities
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  <em>
   Agentic AI &amp; Multi-Agent Orches
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  tration
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  <br/>
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 <ul>
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   Design and implement multi-agent systems where specialised agents collaborate on complex tasks: planning agents, execution agents, validation agents, and human-in-the-loop review steps
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   Build agentic workflows using LangGraph, LangChain, or custom state machines with clear state management, conditional routing, retry logic, and graceful failure handling
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   Implement tool-calling infrastructure: define tool schemas, manage tool registries, handle tool execution with timeouts and error recovery
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   Design context management strategies for long-running agent sessions: conversation memory, working memory, context window optimisation, token budget management, and multi-turn state t
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    racking
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  <em>
   RAG &amp; Knowledge R
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  etrieval
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   Build and optimise retrieval-augmented generation (RAG) pipelines: document chunking strategies, embedding model selection, vector store management (FAISS, Qdrant, pgvector, Pinecone), and hybrid search
  </li>
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   Implement advanced RAG patterns: multi-hop reasoning, reranking, query decomposition, self-querying retrieval, and citation grounding
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   Design and maintain knowledge indexing pipelines that ingest, transform, and index domain-specific data
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    at scale
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   Deterministic Workflows &amp; Structur
  </em>
  ed Output
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   Design deterministic workflows that guarantee consistent, reliable outputsfrom LLMs
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   Implement comprehensive input/output validation using Pydantic models, JSON Schema constraints, and structured output parsing
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   Build hybrid pipelines combining deterministic business logic with LLM-powered
   <em>
    reasoning
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  <br/>
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  <em>
   Evaluation, Testing &amp; Op
  </em>
  timisation
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   Build evaluation frameworks for LLM-powered features: automated test suites, regression benchmarks, and continuous production monitoring
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   Implement token optimisation strategies: prompt compression, caching, response streaming, batching, and model selection
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   Design A/B testing infrastructure for prompt variants, model versions, and pipeline conf
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    igurations
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   Platform &amp; Application
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  Development
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   Build production APIs using FastAPI: endpoint design, async handlers, WebSocket/SSE for streaming responses, and graceful degradation
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   Design and implement MCP (Model Context Protocol) server setups for standardised tool integration
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   Work with PostgreSQL, Redis, and Elasticsearch for application state, caching, and search
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   Containerise AI services with Docker and collaborate with DevOps on Kubernetes deployment
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  and scaling
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   Required Qualifications
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   4+ years of software engineering experience, with at least 2 years focused on LLM-powered application developmentin production
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   Strong proficiency in Python; experience with FastAPI or similar async frameworks required
  </li>
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   Deep hands-on experience with agentic AI frameworks: LangGraph, LangChain, or custom agent architectures
  </li>
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   Proven experience building RAG systems: embedding pipelines, vector databases, retrieval strategies, and multi-hop reasoning
  </li>
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   Strong understanding of LLM fundamentals: prompting, structured output, token management, and model selection trade-offs
  </li>
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   Working knowledge of PostgreSQL, Redis, and at least one vector database
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   Experience with evaluation and testing of LLM outputs in production environments
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   Solid understanding of REST APIs, WebSockets, and API lifecycle management
  </li>
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  <strong>
   Preferred Experience
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  <li>
   Experience with MCP architecture: building MCP servers and integrating external systems
  </li>
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  as agent tools
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   Familiarity with parameter-efficient fine-tuning methods (LoRA, QLoRA)
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   Experience building multi-tenant AI applications with organisation-
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   level isolation
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   LLM observability experience: tracing, token usage tracking, latency profiling
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   Familiarity with Elasticsearch and hybrid search(BM25 + vector)
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   Cloud deployment experience (AWS preferred): EKS,S3, SQS, Lambda
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   Contributions to open-source AI/LLM projects or published work in NLP or agentic AI
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</div>


Senior AI Engineer

Cognizant

<div>
 <p>
  We are seeking an AI-Native Software Engineer who views AI not just as an autocomplete tool, but as a core collaborative partner in software delivery. In this role, you will spend less time manually writing boilerplate and more time architecting systems, designing precise technical specifications, and orchestrating multi-agent workflows.
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  <br/>
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  <strong>
   Core Responsibilities
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  <li>
   <strong>
    System Architecture &amp; Design:
   </strong>
   Define high-level system structures, API contracts, and data models before instructing AI tools to implement them. Own the design, not just the execution.
  </li>
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    Context Engineering &amp; Spec Writing:
   </strong>
   Author rigorous, unambiguous technical specifications and context rules to guide AI agents toward deterministic, reviewable outputs.
  </li>
  <li>
   <strong>
    RAG Pipeline Design:
   </strong>
   Architect and own end-to-end Retrieval-Augmented Generation pipelines, document ingestion, chunking strategy, embedding selection, vector store configuration, hybrid retrieval, and relevance evaluation.
  </li>
  <li>
   <strong>
    Agentic Workflow Management:
   </strong>
   Build and operate agent harnesses using orchestration frameworks (e.g. LangGraph, LangChain, AutoGen) including tool definitions, routing logic, guardrails, fallback paths, and evaluation hooks.
  </li>
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   <strong>
    Human-in-the-Loop Validation:
   </strong>
   Design and enforce HITL gates for agentic write operations. Know when to automate and when to require human sign-off, especially for irreversible or high-stakes actions.
  </li>
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   Review, test, and audit AI-generated code for security vulnerabilities, performance characteristics, edge cases, and architectural alignment before it reaches production.
  </li>
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  <strong>
   Required Technical Skills
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    Engineering Fundamentals:
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   Strong mastery of computer science fundamentals &mdash; data structures, algorithms, distributed systems, and system design. You must be able to catch and correct AI errors because you understand the underlying systems.
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    Code Review &amp; Auditing:
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   Exceptional ability to read, evaluate, and critique AI-generated code across multiple languages rapidly.
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   <strong>
    Agentic System Design:
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   Hands-on production experience building agent harnesses, multi-agent orchestration pipelines, and supervisor/routing patterns using frameworks such as LangGraph, LangChain, or equivalent.
  </li>
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   <strong>
    RAG &amp; Retrieval Engineering:
   </strong>
   Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search, Reciprocal Rank Fusion, and retrieval quality evaluation.
  </li>
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   <strong>
    AI Tooling Proficiency:
   </strong>
   Advanced hands-on experience with AI-native IDEs (e.g. Cursor, Windsurf, GitHub Copilot) and command-line agentic tools (e.g. Claude Code, Aider, Codex CLI).
  </li>
  <li>
   <strong>
    Context &amp; Prompt Engineering:
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   Proven ability to manage AI context windows, system instructions, tool schemas, and prompt structure to produce consistent, auditable outputs.
  </li>
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   <strong>
    Cloud &amp; API Integration:
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   Solid experience with cloud-native deployment (Azure, AWS, or GCP), RESTful API design, async patterns, and enterprise identity/auth integration.
  </li>
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    Testing &amp; CI/CD:
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   Strong experience writing automated test suites to validate AI-generated logic inside modern CI/CD pipelines, including adversarial and edge-case coverage.
  </li>
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  <br/>
 </p>
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  <br/>
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  <strong>
   Preferred Qualifications
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   Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent deep production experience.
  </li>
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   Experience integrating with enterprise HR, workforce, or ERP platforms (e.g. SAP SuccessFactors, Workday, Concur, or Oracle HCM) &mdash; particularly in an agentic or API integration context.
  </li>
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   <strong>
    Hands-on ML experience beyond API consumption:
   </strong>
   model fine-tuning, training pipelines, evaluation frameworks, or MLOps deployment.
  </li>
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   Familiarity with enterprise identity providers (e.g. OKTA, Azure AD) and secure token handling in agentic contexts.
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   A portfolio or GitHub repository demonstrating projects built primarily via agentic or spec-driven development methodologies.
  </li>
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 <p>
 </p>
</div>


AI-Native Engineer

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>


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