ai solutions consultant

ai systems architect & developer Jobs in Abu Dhabi

ai systems architect & developer

applied scientist

associate engineer

ai automation engineer architect of agentic ai automator

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI &mdash; a high-performance decentralized AI inference network that transforms the global computing landscape by turning consumer and enterprise GPUs into a unified AI engine. Following a successful alpha launch in internet cafes across the UAE, we are scaling infrastructure to onboard large-scale gaming cafe fleets and top-tier data centers worldwide.We&rsquo;re looking for an AI Automation Engineer (Agent Systems Builder) who can design and deploy multi-agent systems that operate across the company &mdash; from internal workflows to product-level automation.This is a hands-on role focused on building structured, reliable AI systems. You will turn LLMs into coordinated agents that can reason, take action, and operate within defined environments.03. WHO YOU ARE<ul><li>LLM Engineer</li><li>You understand how language models actually work &mdash; tokenisation, logits, prompting, and system behaviour.</li><li>Agent Systems Builder</li></ul>You&rsquo;ve worked with or built multi-agent systems and understand orchestration, roles, and control flows.<ul><li>Automation Thinker</li></ul>You design systems that take action &mdash; not just generate outputs.You can wrap agents into APIs, manage integrations, and handle async workflows.You understand access control, permissions, and how to prevent unsafe behaviour in agent systems.04. RESPONSIBILITIES<ul><li>Backend Engineer</li><li>Security-Aware</li><li>Prompt Engineering &amp; System Design</li><li>Design structured, multi-layered prompt systems with context management, self-correction, and reliability controls.</li><li>AI Hub Development</li></ul>Build and configure internal AI systems (Claude, GPT, open-source models) connected to company data, tools, and APIs.<ul><li>Multi-Agent Architecture</li></ul>Design and implement hierarchical agent systems (orchestrators, specialised agents, execution layers) with clear responsibilities and control flows.Integrate AI agents with internal systems &mdash; CRM, databases, messaging platforms, CI/CD &mdash; enabling real actions and workflows.Build and maintain tools that allow agents to interact with external systems (APIs, services, internal infrastructure).05. REQUIREMENTS<ul><li>Integration &amp; Automation</li><li>Tooling &amp; Execution</li><li>Strong understanding of LLM internals (tokenisation, logits, temperature, system prompts, RAG).</li><li>Experience building or working with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or custom systems).</li><li>Strong backend experience (Python or TypeScript).</li><li>Experience building APIs, handling async workflows, and integrating external systems.</li><li>Experience implementing function calling, tools, and agent execution workflows.</li><li>Understanding of prompt security, injection risks, and hallucination control.</li><li>Experience integrating AI systems into real business processes or products.</li></ul>06. NICE TO HAVE<ul><li>Experience building multi-agent systems in production.</li><li>Experience integrating agents with CRM, databases, or CI/CD pipelines.</li><li>Experience with Model Context Protocol (MCP) or similar tooling approaches.</li><li>Experience working in fast-paced or AI-first environments.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimization</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you're working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>08. HOW TO APPLYAs part of your application, please share:<ul><li>A diagram or description of a multi-agent system you've built (or would build).</li><li>An example of a complex prompt using tools/function calling.</li><li>Your approach to enforcing access control across agent systems.</li></ul>Application Question(s):<ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT)? (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+).</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul>Work Location: In person

AI Automation Engineer / Architect of Agentic AI (Automator)

MVP Application and game design L.L.C

We are looking for an Agentic AI Developer who can design, build, and optimize advanced AI systems that go beyond simple chatbot or basic RAG implementations. The ideal candidate should have hands-on experience creating multi-agent workflows, tool-using AI agents, retrieval systems, reasoning pipelines, orchestration layers, and production-ready AI architectures.This role requires someone who understands how to build complex AI systems where multiple components work together, including LLMs, vector databases, APIs, memory, tools, workflows, permissions, guardrails, and backend services. The candidate should be able to think architecturally, break down business problems into AI workflows, and design systems that are scalable, secure, reliable, and suitable for enterprise or government environments.The candidate should also have basic to intermediate knowledge of Node.js, enough to connect AI services with backend APIs, build lightweight services, integrate third-party tools, and support implementation with the engineering team.Technical RequirementsThe candidate should have hands-on experience with:<ul><li>Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layers</li><li>Agent loops, planning/execution flows, task decomposition, reflection, validation, and human-in-the-loop workflows</li><li>Tool calling / function calling, structured outputs, JSON schemas, API execution, and tool safety controls</li><li>Stateful AI workflows, including state machines, graph-based orchestration, session state, and workflow persistence</li><li>Advanced RAG pipelines, including:</li><li>Chunking strategies</li><li>Embedding model selection</li><li>Hybrid search</li><li>Metadata filtering</li><li>Query rewriting</li><li>Reranking</li><li>Context compression</li><li>Retrieval evaluation</li><li>Hallucination mitigation</li><li>Memory architecture, including:</li><li>Short-term memory</li><li>Long-term memory</li><li>User-specific memory</li><li>Vector memory</li><li>Persistent knowledge stores</li><li>LLM guardrails, including:</li><li>Prompt injection protection</li><li>Permission-aware retrieval</li><li>Output validation</li><li>Policy checks</li><li>Tool execution safety</li><li>Response verification</li><li>LLM observability and evaluation, including:</li><li>Tracing</li><li>Prompt/version management</li><li>Eval datasets</li><li>Regression testing</li><li>Latency analysis</li><li>Cost monitoring</li><li>Failure analysis</li><li>Enterprise integrations, including REST APIs, databases, CRMs/ERPs, document stores, webhooks, queues, and workflow engines</li><li>Vector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma, pgvector, Elasticsearch, or OpenSearch</li><li>Secure deployment architectures for private cloud, on-premise, offline, or government-secure environments</li><li>Node.js basics, including API development, async workflows, service integration, and connecting AI systems to backend applications</li></ul>Important NoteThis role is not for someone who has only built a basic chatbot or RAG over a few PDFs.We are looking for someone who can architect real agentic AI systems with:<ul><li>Agents</li><li>Tools</li><li>Memory</li><li>Retrieval</li><li>Validation</li><li>Orchestration</li><li>Security</li><li>Monitoring</li><li>Production deployment</li></ul>Work location:Abu Dhabi - in officeJob Type: Full-timePay: AED10,000.00 - AED11,000.00 per monthApplication Question(s):<ul><li>What is the difference between a basic RAG chatbot and an agentic AI system?</li><li>⁠How would you handle user permissions when the agent retrieves documents from multiple departments?</li><li>How would you evaluate and audit an agent&rsquo;s decisions, tool calls, and retrieved sources in production?</li></ul>Experience:<ul><li>AI Agent &amp; Routing Engineer: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI Systems Architect & Developer

AppliedAI

<div>
 
 
 AI Solutions Consultant
 
 
 
 On-site | Abu Dhabi
 
 
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, UAE. We are committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services.
 
 
 
 
 
 AppliedAI is at the forefront of redefining the future of work through cutting-edge AI solutions. We empower organizations by automating complex, document-heavy processes, ensuring unparalleled efficiency and accuracy.
 
 
 
 
 
 Our commitment to synergizing human intelligence with artificial intelligence helps our clients excel in highly regulated industries, including healthcare, finance, and insurance.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 We are seeking a Solutions Consultant to join our growing post-sales Delivery Team, responsible for ensuring client success with our agentic AI workflow orchestration platform,
 
 Opus
 
 .
 
 
 
 
 
 In this role, you will work directly with enterprise clients after the sale to translate requirements into detailed technical designs and guide implementation.
 
 
 
 
 
 You&rsquo;ll demonstrate strong technical confidence and analytical skills, and will have the ability to balance solution design with hands-on technical oversight and stakeholder management.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Client Engagement &amp; Discovery
 
 
 
 
 
 <ul>
 <li>
 Lead deep-dive discovery sessions to identify needs and drivers beyond surface-level requirements.
 </li>
 <li>
 Partner with client teams to define workflows and align on architecture decisions while building internal advocates and champions.
 </li>
 <li>
 Build trusted technical relationships with client stakeholders, acting as a go-to adviser for orchestration design.
 </li>
 <li>
 Navigate complex organizational dynamics to ensure alignment between IT and Operations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Solution Design &amp; Documentation
 
 
 
 
 
 <ul>
 <li>
 Architect business cases that quantify ROI and P&amp;L impact to create urgency for change.
 </li>
 <li>
 Define integration points with client systems including APIs, data sources, and cloud infrastructure.
 </li>
 <li>
 Maintain design decision logs, system interface definitions, and solution playbooks for each engagement.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technical Leadership
 
 
 
 
 
 <ul>
 <li>
 Provide deep technical guidance to both Provide clear and actionable instructions to client teams and internal implementation engineers.
 </li>
 <li>
 Identify and resolve technical blockers and system constraints during the delivery phase.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Outcome-Focused Delivery
 
 
 
 
 
 <ul>
 <li>
 Conduct demonstrations that focus on business outcomes rather than just feature tours.
 </li>
 <li>
 Serve as an escalation point for complex technical challenges during delivery.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Key Requirements:
 
 
 
 
 
 <ul>
 <li>
 Experience 5+ years in solutions consulting, technical consulting, or technical business analysis roles.
 </li>
 <li>
 Proven post-sales experience working directly with enterprise clients
 </li>
 <li>
 Strong background in workflow automation, distributed systems, or AI/ML-driven platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technical Skills
 
 
 
 
 
 <ul>
 <li>
 
 Technical Confidence
 
 : Expert in discussing AI, APIs, and integrations (e.g., webhooks) without requiring regular engineering support.
 </li>
 <li>
 
 Requirements Engineering:
 
 Expert in translating vague use cases into robust technical solutions and sequence diagrams.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Effective Stakeholder Engagement:
 
 Ability to re-frame scepticism and stay calm when challenged by stakeholders.
 </li>
 <li>
 
 Executive Presence:
 
 Comfortable challenging C-suite thinking and shifting from features to strategic impact.
 </li>
 <li>
 
 Collaborative Mindset:
 
 Able to interface effectively with client engineers, architects, and executives.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to shape the marketing analytics strategy at a leading AI company.
 </li>
 <li>
 Exposure to cutting-edge AI/ML applications in real-world business contexts.
 </li>
 <li>
 Collaborative, innovative, and growth-driven work environment.
 </li>
 <li>
 Competitive compensation, benefits, and career advancement opportunities.
 </li>
 </ul>
</div>

AI Solutions Consultant

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul> 

Requirements 
We need you to have:<ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul>
It would also be great if you:<ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

DevOps Engineer

Qualcomm

<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>

IoT Solutions Architect - Abu Dhabi, UAE

<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>

Tazweed Employment Services

.We are looking for highly skilled Solution Architect. The Solution Architect is responsible for designing secure, scalable, and cost-effective technology solutions that align with business objectives and enterprise architecture standards. The role works closely with business stakeholders, project managers, developers, infrastructure teams, security teams, vendors, and integration teams to translate business requirements into practical technical designs.The Solution Architect ensures that proposed solutions are fit for purpose, technically sound, reusable, maintainable, and compliant with organizational standards, security policies, and industry best practices.Key Responsibilities&middot; Analyze business requirements and translate them into end-to-end technical solution designs.&middot; Prepare architecture documents such as High-Level Design, Solution Design Document, integration design, deployment architecture, and technical specifications.&middot; Design solutions across applications, APIs, databases, cloud, infrastructure, security, and integration layers.&middot; Ensure solutions are scalable, secure, reliable, maintainable, and aligned with enterprise architecture principles.&middot; Review and assess current systems, identify gaps, and recommend improvements or modernization approaches.&middot; Work with development teams to guide implementation and ensure alignment with approved architecture.&middot; Define integration patterns using APIs, middleware, message queues, gateways, or enterprise service bus platforms.&middot; Support cloud, hybrid, and on-premises solution design based on organizational needs.&middot; Review security, compliance, data privacy, identity, access management, and authentication requirements.&middot; Evaluate technology options, vendor products, platforms, and tools.&middot; Participate in architecture review boards, change advisory boards, and technical governance meetings.&middot; Support project estimation, technical planning, risk assessment, and implementation of roadmaps.&middot; Ensure proper documentation of architecture decisions, assumptions, dependencies, risks, and constraints.&middot; Collaborate with infrastructure, DevOps, cybersecurity, database, application, and business teams.&middot; Provide technical leadership and guidance during project delivery and troubleshooting.&middot; Promote reusable components, standard design patterns, and enterprise technology standards.Familiar with standards ISO, UAE and others.Required Skills and Experience&middot; Strong experience in solution architecture, software design, enterprise systems, or technology consulting.&middot; Good understanding of application architecture, APIs, databases, integrations, infrastructure, and security.&middot; Experience with cloud platforms such as Azure, AWS, or Google Cloud is preferred.&middot; Knowledge of microservices, REST APIs, event-driven architecture, authentication, authorization, and API gateways.&middot; Experience preparing HLD, SDD, architecture diagrams, technical proposals, and implementation plans.&middot; Understanding DevOps, CI/CD, monitoring, logging, performance, and availability concepts.&middot; Familiarity with enterprise architecture frameworks such as TOGAF is an advantage.&middot; Strong knowledge of security principles, including IAM, SSO, OAuth2, OpenID Connect, MFA, encryption, and secure API design.&middot; Ability to evaluate technical risks and propose mitigation plans.&middot; Strong communication, stakeholder management, and presentation skills.&middot; Ability to explain complex technical concepts to both technical and non-technical stakeholders.Preferred Technical Knowledge&middot; Microsoft .NET&middot; Angular, React, or modern frontend frameworks.&middot; SQL Server, Oracle, noSQL, or other database platforms.&middot; Azure services, containers, Kubernetes, Docker, or serverless platforms.&middot; API management, ESB, message queues, Kafka, RabbitMQ, or integration gateways.&middot; Monitoring and logging tools such as ELK, Dynatrace, and Application Insights.&middot; SharePoint, Power Platform, ServiceNow, CRM, ERP, or enterprise platforms.&middot; AI, data, analytics, or automation platforms would be an added advantage.Qualifications&middot; Bachelor's degree in computer science, Information Technology, Software Engineering, or a related field.&middot; 10+ years of IT experience, including 3+ years in solution architecture or technical design roles.&middot; Certifications such as TOGAF, Azure Solutions Architect are preferred.Salary and Other Benefits: To be discussedExperience:<ul><li>Solution Architect: 10 years (Preferred)</li></ul>Work Location: In person

Solution Architect

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