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engineering lead platform architect

Visionary Tech Services

<div>
 We are looking for a hands-on Engineering Lead / Platform Architect to help build and scale a complex AI-driven platform. This role is ideal for someone who can combine strong technical architecture skills with practical delivery leadership.
 
 
 The successful candidate will work closely with the AI/product lead to translate strategic vision into a scalable, secure, and well-governed engineering roadmap. They will provide technical oversight, guide implementation, define architecture standards, and coordinate multiple developers as the team grows.
 
 
 This is not a pure management role. We need someone who can actively shape the platform, make sound engineering decisions, and lead by doing.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Own the technical architecture for a multi-module AI-driven platform
 </li>
 <li>
 Define and maintain service boundaries, integration patterns, APIs, schemas, and engineering standards
 </li>
 <li>
 Lead day-to-day technical execution across multiple developers
 </li>
 <li>
 Translate product and AI strategy into clear, buildable engineering plans
 </li>
 <li>
 Ensure the platform remains cohesive, scalable, secure, and maintainable as new modules are introduced
 
 
 </li>
 </ul>
 Establish best practices for:
 
 
 <ul>
 <li>
 System design
 </li>
 <li>
 Code quality
 </li>
 <li>
 Documentation
 </li>
 <li>
 Testing
 </li>
 <li>
 Deployment
 </li>
 <li>
 Observability
 </li>
 <li>
 Identify and manage technical risks, dependencies, and architectural trade-offs
 </li>
 <li>
 Support hiring, onboarding, and mentoring of engineers as the team expands
 </li>
 <li>
 Work closely with leadership to balance speed of delivery with oversight and governance
 </li>
 <li>
 Act as the technical bridge between innovation, architecture, and execution
 
 
 </li>
 </ul>
 
 What This Role Owns:
 
 
 
 Engineering oversight, platform architecture, technical delivery structure, developer coordination and quality and scalability of implementation.
 
 
 
 Required Experience:
 
 
 
 <ul>
 <li>
 Proven experience as an Engineering Lead, Staff Engineer, Principal Engineer, or Solutions/Platform Architect
 </li>
 <li>
 Strong background designing and delivering scalable software platforms
 </li>
 <li>
 Experience leading developers in a fast-moving product or platform environment
 </li>
 <li>
 Deep understanding of: Distributed systems, API and integration design, event-driven or service-oriented architecture and cloud-based deployment patterns, ability to make practical architectural decisions while keeping delivery moving
 </li>
 <li>
 Strong communication skills, with the ability to align technical and non-technical stakeholders
 </li>
 <li>
 Comfortable operating in an evolving environment where structure is still being defined:
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 Experience working on AI-enabled products or data-intensive platforms
 </li>
 <li>
 Exposure to security, intelligence, risk, or decision-support systems
 </li>
 <li>
 Familiarity with governance, auditability, and operational controls in complex platforms
 </li>
 <li>
 Experience setting up engineering processes for a growing team
 
 
 </li>
 </ul>
 
 Ideal Candidate Profile
 
 
 
 The ideal candidate is:
 
 
 <ul>
 <li>
 Technically strong and credible with engineers
 </li>
 <li>
 Structured and disciplined in architecture
 </li>
 <li>
 Practical and delivery-oriented
 </li>
 <li>
 Comfortable taking ownership
 </li>
 <li>
 Capable of leading without creating bureaucracy
 </li>
 <li>
 Able to bring order, clarity, and momentum to a growing technical function
 </li>
 </ul>
</div>

Engineering Lead / Platform Architect

Blackford Technologies LLC-SPC

<div>We are looking for a hands-on Engineering Lead / Platform Architect to help build and scale a complex AI-driven platform. This role is ideal for someone who can combine strong technical architecture skills with practical delivery leadership.
The successful candidate will work closely with the AI/product lead to translate strategic vision into a scalable, secure, and well-governed engineering roadmap. They will provide technical oversight, guide implementation, define architecture standards, and coordinate multiple developers as the team grows.
This is not a pure management role. We need someone who can actively shape the platform, make sound engineering decisions, and lead by doing. 
Requirements 
<ul><li>
Own the technical architecture for a multi-module AI-driven platform</li><li>
Define and maintain service boundaries, integration patterns, APIs, schemas, and engineering standards</li><li>
Lead day-to-day technical execution across multiple developers</li><li>
Translate product and AI strategy into clear, buildable engineering plans</li><li>
Ensure the platform remains cohesive, scalable, secure, and maintainable as new modules are introduced</li></ul>
Establish best practices for:<ul><li>
System design</li><li>
Code quality</li><li>
Documentation</li><li>
Testing</li><li>
Deployment</li><li>
Observability</li><li>
Identify and manage technical risks, dependencies, and architectural trade-offs</li><li>
Support hiring, onboarding, and mentoring of engineers as the team expands</li><li>
Work closely with leadership to balance speed of delivery with oversight and governance</li><li>
Act as the technical bridge between innovation, architecture, and execution.</li></ul>
What This Role Owns:
Engineering oversight, platform architecture, technical delivery structure, developer coordination and quality and scalability of implementation.
Required Experience:<ul><li>
Proven experience as an Engineering Lead, Staff Engineer, Principal Engineer, or Solutions/Platform Architect.</li><li>
Strong background designing and delivering scalable software platforms.</li><li>
Experience leading developers in a fast-moving product or platform environment.</li><li>
Deep understanding of: Distributed systems, API and integration design, event-driven or service-oriented architecture and cloud-based deployment patterns, ability to make practical architectural decisions while keeping delivery moving.</li><li>
Strong communication skills, with the ability to align technical and non-technical stakeholders</li><li>
Comfortable operating in an evolving environment where structure is still being defined:</li></ul>
Preferred Experience<ul><li>
Experience working on AI-enabled products or data-intensive platforms</li><li>
Exposure to security, intelligence, risk, or decision-support systems</li><li>
Familiarity with governance, auditability, and operational controls in complex platforms</li><li>
Experience setting up engineering processes for a growing team</li></ul>
Ideal Candidate Profile
The ideal candidate is:<ul><li>
Technically strong and credible with engineers</li><li>
Structured and disciplined in architecture</li><li>
Practical and delivery-oriented</li><li>
Comfortable taking ownership</li><li>
Capable of leading without creating bureaucracy</li><li>
Able to bring order, clarity, and momentum to a growing technical function</li></ul></div>

<div>The Security &amp; Detection Engineering Manager is responsible for owning and leading the detection engineering and security platform strategy across a multi-SIEM, multi-tenant MSSP environment.
This role governs detection architecture, ATT&amp;CK coverage, platform interoperability, multi-tenant isolation, cost engineering, quality assurance and automation governance across a hybrid tooling environment. 
Requirements 
1. Detection Strategy &amp; Architecture<ul><li>
Define and maintain a 12&ndash;24 month Detection Engineering Roadmap.</li><li>
Own adversary-aligned detection strategy mapped to MITRE ATT&amp;CK.</li><li>
Establish detection maturity targets per platform and service tier.</li><li>
Maintain a centralised detection content abstraction model (e.g., Sigma/internal DSL).</li><li>
Govern detection lifecycle: design validation deployment tuning retirement.</li><li>
Prevent detection sprawl and duplication across platforms.</li></ul>
2. MITRE ATT&amp;CK Coverage Governance<ul><li>
Maintain formal ATT&amp;CK coverage matrix.</li><li>
Track and report coverage percentage by tactic and technique.</li><li>
Conduct quarterly coverage gap analysis.</li><li>
Validate detection coverage through simulation and adversary emulation exercises.</li><li>
Produce ATT&amp;CK coverage reporting for executive leadership and audit functions.</li></ul>
3. Multi-Tenant Detection Governance<ul><li>
Define detection inheritance and baseline models across tenants.</li><li>
Govern tenant-level tuning while preserving engineering consistency.</li><li>
Enforce strict cross-tenant rule isolation and data scoping controls.</li><li>
Maintain metadata-only forwarding controls where required for sovereignty models.</li><li>
Prevent cross-tenant configuration contamination.</li><li>
Maintain version control and tenant-level detection lineage.</li></ul>
4. Platform Interoperability &amp; Schema Governance<ul><li>
Own cross-platform detection portability strategy.</li><li>
Govern schema alignment across a multi-SIEM environment</li><li>
Define translation and normalisation pipelines.</li><li>
Ensure detection parity across supported platforms.</li><li>
Govern ingestion mapping and telemetry integrity.</li></ul>
5. Cost Engineering &amp; Optimisation<ul><li>
Own ingestion efficiency model and cost per GB governance.</li><li>
Monitor cost per alert generated.</li><li>
Optimise:</li><li>
Retention tiers (hot/warm/cold)</li><li>
Query performance</li><li>
Rule execution frequency</li><li>
Define and track detection efficiency (signal-to-noise ratio).</li><li>
Contribute to platform licensing and cost optimisation decisions.</li></ul>
6. Detection Quality Assurance Framework<ul><li>
Establish formal Detection QA process including:</li><li>
Peer review prior to deployment</li><li>
Pre-production validation environment</li><li>
False positive regression testing</li><li>
Simulation-based testing</li><li>
Implement detection health scoring system.</li><li>
Track detection decay and stale logic.</li><li>
Maintain detection change traceability.</li></ul>
7. Continuous Service Improvement<ul><li>
Establish structured SOC-to-Engineering feedback loop.</li><li>
Conduct regular analyst review sessions.</li><li>
Track false positive patterns and alert fatigue metrics.</li><li>
Maintain closed-loop improvement tracking.</li><li>
Continuously improve detection fidelity and SOC effectiveness.</li><li>
Conduct post-incident detection and control gap analysis.</li></ul>
8. Automation &amp; Response Engineering Governance<ul><li>
Govern SOAR and response automation across platforms.</li><li>
Define tiered automation model (manual / assisted / autonomous).</li><li>
Establish human-in-the-loop controls for high-risk actions.</li><li>
Enforce automation regression testing and version control.</li><li>
Monitor automation success and failure rates.</li></ul>
9. Preventative Control Operationalisation &amp; Validation<ul><li>
Implement Security Architect&ndash;approved hardening baselines (CIS-aligned).</li><li>
Operationalise secure configuration standards across:</li><li>
Endpoints</li><li>
Identity platforms</li><li>
Cloud environments</li><li>
Network security controls</li><li>
Monitor configuration drift and control degradation.</li><li>
Integrate preventative control telemetry into SIEM and detection pipelines.</li><li>
Validate control effectiveness using detection and incident data.</li><li>
Provide structured feedback to the Security Architect on control performance gaps.</li><li>
Support exposure reduction initiatives through engineering execution.</li></ul>
10. Compliance &amp; Audit Evidence Ownership<ul><li>
Maintain full audit trail for detection changes.</li><li>
Provide evidence for ISO 27001, NIST CSF and regional regulatory audits.</li><li>
Maintain detection version history.</li><li>
Ensure automated response actions are logged and traceable.</li><li>
Maintain control compliance dashboards and operational metrics.</li><li>
Provide ATT&amp;CK coverage documentation to auditors.</li></ul>
11. Engineering Leadership &amp; Capability Development<ul><li>
Define detection engineering competency framework.</li><li>
Mentor and develop Detection Engineers and SIEM Engineers.</li><li>
Establish certification roadmap (Elastic, Microsoft, Google).</li><li>
Implement technical performance scorecards.</li><li>
Develop succession planning and redundancy controls.</li><li>
Maintain backlog governance and engineering delivery cadence.</li></ul>
Technical Requirements
Platform Expertise (Required)<ul><li>
Elastic Security (EQL, index lifecycle, ECS governance)</li><li>
Microsoft Defender XDR &amp; Sentinel (KQL, ASIM)</li></ul>
Platform Expertise (Desired)<ul><li>
Google SecOps (UDM schema, detection engineering)</li><li>
BindPlane (log routing and telemetry aggregation architecture)</li></ul>
Detection Engineering<ul><li>
Behaviour-based detection design</li><li>
Correlation engineering</li><li>
Sigma rule governance</li><li>
Detection-as-code practices</li><li>
ATT&amp;CK mapping and coverage measurement</li></ul>
Automation &amp; Engineering<ul><li>
SOAR workflow design</li><li>
Python / PowerShell scripting</li><li>
CI/CD for detection content</li><li>
API integrations (REST/JSON)</li><li>
Infrastructure-as-Code fundamentals</li></ul>
Preventative Control Engineering<ul><li>
Implement and operationalise architect-approved hardening baselines (CIS-aligned) across endpoints, identity, cloud and network environments.</li><li>
Monitor configuration drift and validate control effectiveness using telemetry integrated into SIEM platforms.</li><li>
Enforce tenant-level configuration isolation and prevent cross-tenant control contamination in multi-tenant environments.</li><li>
Translate architectural security controls into enforceable technical configurations and measurable compliance outcomes.</li><li>
Maintain automated control validation, regression testing and compliance-ready reporting for regulatory and audit purposes.</li></ul>
Data &amp; Schema Governance<ul><li>
Log normalisation and parsing</li><li>
Schema conformity validation</li><li>
Ingestion health monitoring</li><li>
Data completeness validation</li></ul>
Experience Requirements<ul><li>
7+ years in security engineering or detection engineering</li><li>
2+ years in technical leadership or management</li><li>
Experience in MSSP or multi-tenant SOC environments</li><li>
Proven experience with at least two of:</li><li>
Elastic</li><li>
Microsoft Security Suite</li><li>
Google SecOps</li><li>
Experience implementing ingestion frameworks (BindPlane or equivalent/ Native Collectors)</li></ul>
Key Performance Indicators
Detection Effectiveness<ul><li>
ATT&amp;CK coverage percentage</li><li>
Detection fidelity score</li><li>
False positive rate</li><li>
Missed detection rate</li><li>
Detection decay rate</li></ul>
Operational Performance<ul><li>
Mean Time to Detect (MTTD)</li><li>
Mean Time to Respond (MTTR)</li><li>
Detection deployment lead time</li><li>
Detection retirement cycle time</li></ul>
Cost &amp; Efficiency<ul><li>
Cost per GB ingested</li><li>
Cost per alert generated</li><li>
Query efficiency score</li><li>
Storage optimisation ratio</li></ul>
Quality &amp; Governance<ul><li>
Detection QA pass rate</li><li>
Automation success rate</li><li>
Automation failure rate</li><li>
Schema conformity percentage</li><li>
Ingestion failure rate</li></ul>
Engineering Leadership<ul><li>
Backlog delivery velocity</li><li>
Certification completion rate</li><li>
Cross-platform detection parity percentage</li></ul></div>

Security & Detection Engineering Manager

Global Prima Indotek Engineering Ltd

About the Role Are you the architect of the digital future in an industrial world? Global Prima Indotek Engineering Ltd is seeking a Senior Director of Software Engineering to lead our digital transformation in Abu Dhabi.This is a high-impact leadership role at the convergence of Operational Technology (OT) and Information Technology (IT). You will not just be managing code; you will be building the software ecosystems that power massive engineering infrastructure. We are looking for a visionary technologist who can scale high-performing development teams, architect secure industrial IoT (IIoT) platforms, and bridge the gap between physical engineering and digital intelligence. If you are ready to lead a software division where your code moves the physical world, this is your platform.Key Responsibilities<ul><li>Technical Strategy: Define and execute the long-term software roadmap, aligning technical innovation with the company&rsquo;s industrial engineering goals (Digital Twins, Smart Infrastructure, Automation).</li><li>Team Leadership: Scale and mentor a world-class engineering organization, managing Engineering Managers, Architects, and DevOps leads across distributed teams.</li><li>Architecture &amp; Delivery: Oversee the end-to-end software development lifecycle (SDLC), ensuring robust architecture, scalable cloud infrastructure (Azure/AWS), and strict adherence to Agile/DevSecOps methodologies.</li><li>Product Innovation: Collaborate with Product Management and Industrial Engineering heads to translate complex physical requirements into intuitive software solutions.</li><li>Quality &amp; Security: Enforce rigorous code quality standards and cybersecurity protocols, critical for software operating in high-stakes industrial environments.</li><li>Stakeholder Management: Act as the technical voice of the company to the Board and external partners, translating complex technical risks and opportunities into business value.</li></ul>What We Are Looking For<ul><li>Experience: 15+ years in Software Engineering, with at least 7 years in a senior leadership role (Director or VP level) managing teams of 50+ engineers.</li><li>Domain Expertise: Strong background in Industrial IoT, Enterprise SaaS, or Engineering Tech. Experience bridging hardware and software is a massive plus.</li><li>Technical Depth: Deep understanding of modern tech stacks (Microservices, Python/Java/Go, Kubernetes), Cloud Native architectures, and Data Engineering.</li><li>Education: Master&rsquo;s degree in Computer Science or Software Engineering. MBA is preferred.</li><li>Strategic Vision: Proven track record of transforming legacy systems into modern, scalable platforms.</li></ul>Why Work With Global Prima Indotek Engineering Ltd? Abu Dhabi is rapidly becoming a global hub for deep-tech and industrial innovation. At Global Prima Indotek, we provide the stability of an established engineering giant with the agility of a tech startup. You will have significant budget autonomy, access to cutting-edge projects, and the opportunity to build a legacy in the region&rsquo;s digital landscape.Job Types: Full-time, PermanentPay: AED65,000.00 - AED80,000.00 per monthWork Location: In person

Senior Director of Software Engineering

Delphi Consulting Middle East

<div>
 
 We are looking for a GenAI Architect to lead the enterprise-scale architecture of our Agentic AI platform. This role blends distributed systems, applied AI, and platform engineering to deliver secure, scalable, production-grade GenAI solutions.
 
 
 The ideal candidate is tool-agnostic and architecture-focused, with the ability to combine Microsoft&rsquo;s AI ecosystem with best-in-class open-source frameworks.
 
 
 
 
 
 
 What You Will Do
 
 
 
 
 
 
 
 Agentic System Architecture
 
 
 <ul>
 <li>
 Architect and implement multi-agent systems using frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, CrewAI, or AutoGen
 </li>
 <li>
 Design hybrid orchestration combining agentic reasoning and deterministic workflows
 </li>
 <li>
 Implement agent-to-agent communication and Model Context Protocol for tool discovery and invocation
 </li>
 </ul>
 
 
 Retrieval, Reasoning, and Knowledge Systems
 
 
 <ul>
 <li>
 Build enterprise-grade RAG and Agentic-RAG pipelines using Azure AI Search or open-source vector platforms such as LlamaIndex, Haystack, Milvus, Weaviate, or Qdrant
 </li>
 <li>
 Enable multi-hop reasoning across structured and unstructured data
 </li>
 <li>
 Integrate with Microsoft Fabric, Dataverse, Cosmos DB, and enterprise data lakes
 </li>
 </ul>
 
 
 AI Governance, Safety, and Observability
 
 
 <ul>
 <li>
 Design governance layers for prompt filtering, PII protection, content moderation, and policy enforcement
 </li>
 <li>
 Implement observability for prompts, agent actions, cost, latency, and risk
 </li>
 <li>
 Use tools such as Microsoft Purview, AI Content Safety, Guardrails AI, NeMo Guardrails, Arize Phoenix, LangSmith, MLflow, or OpenTelemetry
 </li>
 </ul>
 
 
 LLMOps and Model Infrastructure
 
 
 <ul>
 <li>
 Own the full LLM lifecycle including prompt flows, routing, evaluation, versioning, and deployment
 </li>
 <li>
 Work with Azure OpenAI and open-source models such as Llama, Mistral, and Qwen
 </li>
 <li>
 Build CI/CD pipelines using GitHub Actions, Azure DevOps, MLflow, BentoML, or similar
 </li>
 <li>
 Design scalable inference on Kubernetes and cloud using vLLM, TGI, KubeRay, SkyPilot, or managed services
 </li>
 </ul>
 
 
 Backend and Integration
 
 
 <ul>
 <li>
 Build AI control planes in Python (FastAPI, asyncio, Pydantic) and/or C# (.NET)
 </li>
 <li>
 Implement tool-calling APIs, workflows, agent memory, and enterprise system integrations
 </li>
 </ul>
 
 Human-in-the-Loop Interfaces
 
 <ul>
 <li>
 Build real-time AI interfaces using React and TypeScript
 </li>
 <li>
 Enable streaming responses via WebSockets or Server-Sent Events
 </li>
 <li>
 Create dashboards for approval, override, and guidance of agent actions
 </li>
 <li>
 Integrate solutions into Microsoft Teams, web portals, developer tools, and VS Code AI Toolkit
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 
 
 
 
 
 Core Engineering
 
 
 <ul>
 <li>
 8+ years in backend, platform, or distributed systems
 </li>
 <li>
 Strong expertise in Python and/or C#
 </li>
 <li>
 Experience building APIs, microservices, and event-driven systems
 </li>
 </ul>
 
 
 GenAI and Agent Systems
 
 
 <ul>
 <li>
 3+ years building production-grade GenAI solutions
 </li>
 <li>
 Experience with agent frameworks, RAG, tool-calling, and agent memory
 </li>
 </ul>
 
 
 Data and Search
 
 
 <ul>
 <li>
 Experience with Azure AI Search or vector databases
 </li>
 <li>
 Strong understanding of embeddings, hybrid search, and retrieval pipelines
 </li>
 </ul>
 
 
 AI Safety and Observability
 
 
 <ul>
 <li>
 Experience implementing guardrails, policy engines, and LLM monitoring
 </li>
 <li>
 Tracing, evaluation, and telemetry for AI systems
 </li>
 </ul>
 
 
 LLMOps and Infrastructure
 
 
 <ul>
 <li>
 CI/CD for AI workloads
 </li>
 <li>
 Model experimentation and tracking
 </li>
 <li>
 Azure, Docker, Kubernetes, Terraform or Pulumi
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 
 At Delphi, we provide a supportive, growth-focused environment. You will receive competitive compensation, performance-based incentives, and comprehensive health benefits. We invest in your growth through company-sponsored certifications, training programs, and continuous learning opportunities.
 
 
 We promote an inclusive and flexible culture with remote work options, fully supported work-from-home setups, wellness programs, and a strong focus on mental well-being.
 
</div>

Gen AI Architect

AceNet

<div>
 
 About Us:
 
 
 AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
 
 
 Job Summary
 
 
 We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.
 
 
 Key Responsibilities:
 
 
 * Design and maintain enterprise-grade Azure AI resources.
 
 
 * Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.
 
 
 * Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.
 
 
 * Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.
 
 
 * Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.
 
 
 * Implement least-privilege RBAC models and ensure secure identity integration.
 
 
 * Enforce governance controls using Azure Policy and Management Groups.
 
 
 * Review AI solution architectures and participate in architecture review boards.
 
 
 * Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.
 
 
 * Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.
 
 
 * Support CI/CD pipelines and controlled change and release management processes.
 
 
 * Develop operational runbooks and ensure smooth transition of AI services to operations teams.
 
 
 * Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.
 
 
 
 
 
 
 
 
 Role Requirements and Qualification
 
 
 * 10+ years in IT infrastructure/cloud architecture
 
 
 * 5+ years of hands-on Azure architecture experience
 
 
 * Experience operating within a centralized Cloud CoE model
 
 
 * Deep hands-on expertise in Microsoft Azure and Azure AI services
 
 
 * Strong experience designing AI landing zones and enterprise cloud architectures
 
 
 * Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity)
 
 
 * Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault
 
 
 * Experience with Microsoft Defender for Cloud and enterprise security monitoring
 
 
 * Hands-on experience with Infrastructure as Code and CI/CD pipelines
 
 
 * Strong FinOps mindset and experience managing Azure cost optimization
 
 
 Preferred Certifications
 
 
 * Microsoft Certified: Azure Solutions Architect Expert
 
 
 * Microsoft Certified: Azure Security Engineer Associate
 
 
 * Microsoft Certified: Azure AI Engineer Associate
 
 
 * Microsoft Certified: Azure Administrator Associate
 
 
 
 
 
 Why Join Us
 
 
 * Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors
 
 
 * Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling
 
 
 * Competitive compensation &amp; benefits, ESOPs and international assignments
 
 
 * Supportive environment with healthy work-life balance and a focus on employee well-being
 
 
 * Open culture that values diverse perspectives, encourages transparent communication and rewards contributions
 
 
 
 
 
 .
 
</div>

Senior Azure AI Infrastructure Architect

Acenet consulting

<div><div>Experience: 10 to 20 years
 
Location: Abu Dhabi
 
Job code: 101444
 
Posted on: Mar 05, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary 
We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.
<div>Key Responsibilities: 
<ul><li>Design and maintain enterprise-grade Azure AI resources.
</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.
</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.
</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.
</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.
</li><li>Implement least-privilege RBAC models and ensure secure identity integration.
</li><li>Enforce governance controls using Azure Policy and Management Groups.
</li><li>Review AI solution architectures and participate in architecture review boards.
</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.
</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.
</li><li>Support CI/CD pipelines and controlled change and release management processes.
</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.
</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.
</li></ul> 
Role Requirements and Qualification: 
<ul><li>10+ years in IT infrastructure/cloud architecture.
</li><li>5+ years of hands-on Azure architecture experience.
</li><li>Experience operating within a centralized Cloud CoE model.
</li><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.
</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.
</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).
</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.
</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.
</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.
</li><li>Strong FinOps mindset and experience managing Azure cost optimization.
</li></ul></div><div>Preferred Certifications:
 
<ul><li>Microsoft Certified: Azure Solutions Architect Expert
</li><li>Microsoft Certified: Azure Security Engineer Associate
</li><li>Microsoft Certified: Azure AI Engineer Associate
</li><li>Microsoft Certified: Azure Administrator Associate
</li></ul></div><div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Explore 958+ Engineering lead platform architect in Abu Dhabi this March. Find roles across top companies and apply now to boost your career.

958 engineering lead platform architect jobs In Abu Dhabi

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