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iot solutions architect - abu dhabi, uae

cloud solution architecture security

Microsoft

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

Cloud Solution Architecture-Security

<div>
 
 Overview
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Core Skills &amp; Attributes
 
 
 
 <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.
 
 
 </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.
 
 
 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
 
 requesting accommodations.
 
</div>

Presight

<div>
 
 
 Job Description: Lead Engineer - Data Centre &amp; Smart Infrastructure
 
 
 
 
 Location: Abu Dhabi
 
 
 
 
 About Presight
 
 
 
 
 
 
 Presight &mdash; ADX-listed, G42-backed, and the region's leading GenAI analytics company &mdash; is hiring a Solution Architect who is equally comfortable drawing integration blueprints and sitting in front of a client boardroom.
 
 
 This is not a purely pre-sales or design role. We need someone who has lived inside data centre programmes from concept through commissioning, owned stakeholder relationships end-to-end, and can still roll up their sleeves when it matters.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking a highly experienced, hands-on Lead Engineer to drive the design, integration, and delivery of complex smart infrastructure solutions across data centres, SCADA, BMS/DCIM, IoT, and enterprise AI platforms. This role demands an ideal blend of deep technical expertise and delivery leadership &mdash; someone who can own end-to-end engineering outcomes while collaborating across multi-vendor, cross-functional teams. In later project phases, the role will progressively take on project management responsibilities, steering delivery planning, stakeholder coordination, and operational handover.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end solution design and implementation for integrated systems spanning data centres, SCADA/OT, BMS, CCTV, access control, fire alarm, and AI/analytics platforms.
 </li>
 <li>
 Translate business requirements into scalable, secure, and high-performance architectures, ensuring alignment with business objectives and AI-driven solutions.
 </li>
 <li>
 Define and manage integration architecture across multi-vendor platforms, including APIs, middleware, data pipelines, and OT/IoT protocols (BACnet, Modbus, MQTT, REST).
 </li>
 <li>
 Develop and review high-level and low-level design documents (HLD/LLD), architectural blueprints, and vendor proposals, ensuring system feasibility and seamless cross-platform integration.
 </li>
 <li>
 Define and document data flows across systems &mdash; from IoT sensors and gateways through to DCIM/BMS, CCTV/VMS, analytics engines, and command &amp; control dashboards.
 </li>
 <li>
 Act as the technical bridge from initial design discussions through to final delivery, working closely with project managers, business analysts, architects, developers, and external partners.
 </li>
 <li>
 Coordinate with the PMO and product managers to assess resource requirements, delivery goals, and potential risks; identify risks and implement mitigation strategies to minimize impact on project quality and timelines.
 </li>
 <li>
 Oversee system integration testing (SIT), UAT, and commissioning activities, validating that delivered solutions meet performance, security, and regulatory requirements.
 </li>
 <li>
 Prepare and maintain high-quality technical documentation including architecture documents, integration diagrams, data flow diagrams, test plans, SOPs, and acceptance criteria.
 </li>
 <li>
 Provide cost modelling and technical inputs for financial forecasts, including BoMs, CAPEX/OPEX estimates, and TCO projections based on solution design.
 </li>
 <li>
 Support value engineering and scenario analysis, ensuring architecture decisions are cost-optimized, risk-aware, and aligned with budget and business case objectives.
 </li>
 <li>
 Ensure compliance with industry standards and regulations for security systems and drive adherence to security, compliance, and performance best practices, while considering long-term scalability.
 </li>
 <li>
 Cultivate a supportive team environment by valuing input from team members, mentoring junior engineers, and encouraging professional growth.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 10+ years of experience in system engineering, solution architecture, or technical lead roles within smart infrastructure, data centre, or mission-critical environments.
 </li>
 <li>
 Proven experience with OT systems integration &mdash; BMS, DCIM, SCADA, CCTV/VMS, PSIM, access control, and fire alarm systems.
 </li>
 <li>
 Strong understanding of OT/IoT protocols such as BACnet, Modbus, MQTT, and REST/HTTP APIs.
 </li>
 <li>
 Hands-on experience with multi-vendor platform integrations involving AI platforms, video management systems, connectivity, and IoT sensors.
 </li>
 <li>
 Strong understanding of edge vs. cloud-based architectures, including deployment trade-offs and performance considerations.
 </li>
 <li>
 Solid understanding of data centre concepts &mdash; power, cooling, racks, DCIM/BMS, monitoring, incident and change management.
 </li>
 <li>
 Experience with Agile/Scrum delivery practices, including backlog management and sprint planning.
 </li>
 <li>
 Exceptional interpersonal, stakeholder management, and client-facing skills, with a collaborative and empathetic approach.
 </li>
 <li>
 Strong organizational, planning, and problem-solving skills, with attention to detail and a proactive mindset.
 </li>
 <li>
 Excellent communication and documentation skills with the ability to translate complex technical concepts into business-friendly language.
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in mission-critical facilities &mdash; data centres, critical infrastructure, smart buildings, or industrial IoT environments.
 </li>
 <li>
 Exposure to digital twin platforms, 3D modelling, or BIM-based systems.
 </li>
 <li>
 Experience with AI/ML and analytics use cases for operations, security, and automation.
 </li>
 <li>
 Familiarity with cloud-native IoT platforms (e.g., Azure IoT, Kafka) and enterprise system integration.
 </li>
 <li>
 Background in system integrator firms or large-scale infrastructure delivery programmes.
 </li>
 </ul>
 
 
 
 
 Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
 
 
 
 
 
 
 What Working at Presight Offers
 
 
 <ul>
 <li>
 
 Culture:
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 </li>
 <li>
 
 Career:
 
 Outstanding learning, development &amp; growth opportunities via structured training programmes and innovative, high-tech projects.
 </li>
 <li>
 
 Rewards:
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 </li>
 </ul>
 
 
</div>

Lead Software Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Engineering FZ LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Applications Engineering
General Summary:
About Qualcomm IE‑IoT
 
Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
Role Summary
 
The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers.
Key Responsibilities
Solution Architecture &amp; Technical Leadership
<ul><li>Define and own scalable IoT and Edge AI solution blueprints for priority verticals
</li><li>Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations
</li><li>Produce reference architectures, design guides, and deployment playbooks
</li><li>Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability
</li></ul>Customer &amp; Partner Engagement
<ul><li>Act as technical lead and trusted advisor for strategic customers from discovery through production
</li><li>Translate business use‑cases and KPIs into system‑level technical architectures
</li><li>Lead executive‑level architecture reviews and roadmap alignment
</li><li>Collaborate with OEMs, ISVs, system integrators, and cloud partners
</li><li>Support POCs, pilots, and commercial launches
</li></ul>Hands‑On Prototyping &amp; Validation
<ul><li>Lead system bring‑up, prototyping, benchmarking, and optimization
</li><li>Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines
</li><li>Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms
</li></ul>Hybrid Edge AI Architecture
<ul><li>Design distributed AI architectures across on‑device, on‑prem edge, and cloud
</li><li>Enable offline/online operation, observability, fleet management, and secure enterprise integration
</li></ul>Cross‑Functional Leadership
<ul><li>Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
</li><li>Feed real‑world deployment insights into platform, SDK, and roadmap improvements
</li><li>Represent Qualcomm in customer workshops and industry forums
</li></ul>Technical Profile
<ul><li>Strong system‑level expertise in IoT, embedded systems, and Edge AI
</li><li>Hands‑on software experience in Python and/or C/C++
</li><li>Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools)
</li><li>Background in computer vision and/or generative AI inference
</li><li>Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G
</li></ul>Preferred Experience
<ul><li>Delivering production IoT or Edge AI systems in customer‑facing roles
</li><li>Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
</li><li>Hybrid edge/cloud architectures
</li><li>Executive‑level communication and product roadmap influence through deployments
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
<ul><li>4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
</li><li>4+ years of experience with debugging techniques.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

IoT Solutions Architect - Abu Dhabi, UAE

<div>
 
 Company
 
 
 
 Qualcomm Engineering FZ LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Applications Engineering
 
 
 
 General Summary
 
 
 
 
 About Qualcomm IE‑IoT
 
 
 
 Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
 
 
 
 Role Summary
 
 
 
 The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers.
 
 
 
 Key Responsibilities
 
 
 
 
 Solution Architecture &amp; Technical Leadership
 
 
 
 <ul>
 <li>
 Define and own scalable IoT and Edge AI solution blueprints for priority verticals
 </li>
 <li>
 Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations
 </li>
 <li>
 Produce reference architectures, design guides, and deployment playbooks
 </li>
 <li>
 Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability
 
 
 
 </li>
 </ul>
 
 Customer &amp; Partner Engagement
 
 
 
 <ul>
 <li>
 Act as technical lead and trusted advisor for strategic customers from discovery through production
 </li>
 <li>
 Translate business use‑cases and KPIs into system‑level technical architectures
 </li>
 <li>
 Lead executive‑level architecture reviews and roadmap alignment
 </li>
 <li>
 Collaborate with OEMs, ISVs, system integrators, and cloud partners
 </li>
 <li>
 Support POCs, pilots, and commercial launches
 
 
 
 </li>
 </ul>
 
 Hands‑On Prototyping &amp; Validation
 
 
 
 <ul>
 <li>
 Lead system bring‑up, prototyping, benchmarking, and optimization
 </li>
 <li>
 Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines
 </li>
 <li>
 Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms
 
 
 
 </li>
 </ul>
 
 Hybrid Edge AI Architecture
 
 
 
 <ul>
 <li>
 Design distributed AI architectures across on‑device, on‑prem edge, and cloud
 </li>
 <li>
 Enable offline/online operation, observability, fleet management, and secure enterprise integration
 
 
 
 </li>
 </ul>
 
 Cross‑Functional Leadership
 
 
 
 <ul>
 <li>
 Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
 </li>
 <li>
 Feed real‑world deployment insights into platform, SDK, and roadmap improvements
 </li>
 <li>
 Represent Qualcomm in customer workshops and industry forums
 
 
 
 </li>
 </ul>
 
 Technical Profile
 
 
 
 <ul>
 <li>
 Strong system‑level expertise in IoT, embedded systems, and Edge AI
 </li>
 <li>
 Hands‑on software experience in Python and/or C/C++
 </li>
 <li>
 Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools)
 </li>
 <li>
 Background in computer vision and/or generative AI inference
 </li>
 <li>
 Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G
 
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 Delivering production IoT or Edge AI systems in customer‑facing roles
 </li>
 <li>
 Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
 </li>
 <li>
 Hybrid edge/cloud architectures
 </li>
 <li>
 Executive‑level communication and product roadmap influence through deployments
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
 <ul>
 <li>
 4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 4+ years of experience with debugging techniques.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Atain

<div>
 
 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.
 
 
 
 
 
 
 Candidates with prior experience in the airline or aviation industry will be strongly preferre
 
 
 
 
 
 d
 
 Key Responsibilitie
 
 
 
 
 <ul>
 <li>
 s:
 
 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>
 
 
 
 ion
</div>

Microsoft Dynamics Consultant

EDGE

<div>
 
 Position Title &ndash; IT Integration Specialist (Emirati Talent)
 
 
 Reports To: Chief Technology Officer
 
 
 
 
 
 About: We are an innovative UAV development company focused on rapidly designing and deploying cutting-edge unmanned aerial systems to address needs in both military and civilian sectors. We specialize in agile development, leveraging proven subsystems and advanced technologies to deliver unique UAV solutions.
 
 
 
 
 
 Overview:
 
 
 
 IT Expert
 
 is responsible for designing, implementing, and maintaining a
 
 secure, high-performance IT ecosystem
 
 that enables rapid UAV development, testing, and operations. The role combines
 
 enterprise IT, cybersecurity, and engineering infrastructure support
 
 .
 
 
 
 
 
 Key Responsibilities:
 
 
 
 1. Secure Development Environment
 
 
 <ul>
 <li>
 Establish and manage
 
 isolated development networks
 
 (on-prem + private cloud)
 </li>
 <li>
 Implement
 
 access control, endpoint security, and data protection
 
 </li>
 <li>
 Ensure compliance with
 
 defense-grade security practices (OpSec / air-gapped options)
 
 </li>
 </ul>
 
 
 2. Infrastructure &amp; Systems
 
 
 <ul>
 <li>
 Deploy and maintain:
 </li>
 <li>
 On-prem servers &amp; storage
 </li>
 <li>
 Firewalls, VPNs, and secure gateways
 </li>
 <li>
 Backup &amp; disaster recovery systems
 </li>
 <li>
 Support
 
 high availability and performance
 
 </li>
 </ul>
 
 
 3. Engineering Support
 
 
 <ul>
 <li>
 Enable environments for:
 </li>
 <li>
 Embedded systems development
 </li>
 <li>
 Simulation (SIL/HIL setups)
 </li>
 <li>
 Flight control software workflows
 </li>
 <li>
 Manage tools like version control, CI/CD, and artifact storage
 </li>
 </ul>
 
 
 4. Cybersecurity &amp; Risk Mitigation
 
 
 <ul>
 <li>
 Protect against
 
 data breaches, IP leakage, and external threats
 
 </li>
 <li>
 Conduct vulnerability assessments and enforce security policies
 </li>
 <li>
 Monitor and respond to incidents
 </li>
 </ul>
 
 
 5. IT Operations &amp; Support
 
 
 <ul>
 <li>
 Manage end-user systems (limited, controlled devices)
 </li>
 <li>
 Support internal teams (engineering, production, admin)
 </li>
 <li>
 Ensure minimal downtime and fast issue resolution
 </li>
 </ul>
 
 
 6. Vendor &amp; Solution Management
 
 
 <ul>
 <li>
 Evaluate and manage
 
 IT vendors and subcontractors
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Key Profile
 
 <ul>
 <li>
 Strong background in:
 </li>
 <li>
 Network architecture &amp; cybersecurity
 </li>
 <li>
 Linux/Windows server environments
 </li>
 <li>
 Secure DevOps / DevSecOps
 </li>
 <li>
 Experience in:
 </li>
 <li>
 Aerospace, defense, or high-security environments (highly preferred)
 </li>
 <li>
 Mindset:
 </li>
 <li>
 
 &ldquo;Secure by design&rdquo; + &ldquo;enable speed, not block it&rdquo;
 
 </li>
 <li>
 Hands-on, problem solver, startup mentality
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Technology, Computer Science, Software Engineering, or related field.
 </li>
 <li>
 5+ years of experience in system integration, software development, or IT infrastructure.
 </li>
 <li>
 Strong experience with APIs, web services, and data formats (JSON, XML).
 </li>
 <li>
 Proficiency in programming or scripting languages (e.g., Python, Java, JavaScript).
 </li>
 <li>
 Experience with integration platforms (e.g., MuleSoft, Dell Boomi, Azure Integration Services, or similar).
 </li>
 <li>
 Knowledge of cloud environments (AWS, Azure, or GCP).
 </li>
 <li>
 Experience with databases (SQL/NoSQL) and data mapping techniques.
 </li>
 <li>
 Strong problem-solving skills and ability to work in a fast-paced, multidisciplinary environment.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 </ul>
 
 
 
 
 Preferred:
 
 <ul>
 <li>
 Experience integrating UAV systems, IoT platforms, or real-time data environments.
 </li>
 <li>
 Familiarity with cybersecurity principles and secure data exchange.
 </li>
 <li>
 Experience working in defence, aerospace, or high-tech R&amp;D environments.
 </li>
 </ul>
 
 
</div>

IT Integration Engineer

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IT Integration Engineer