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enterprise ai architect

Nagarro

<div>
 
 Job Description
 
 
 
 We are seeking an
 
 AI Architecture Leader
 
 to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines
 
 technical leadership, solution design, and strategic advisory
 
 , focusing on
 
 Generative AI, agentic systems, and cloud-native engineering
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Define enterprise AI operating models, governance, and architectural standards.
 </li>
 <li>
 Lead multi-year AI transformation roadmaps and platform modernization.
 </li>
 <li>
 Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.
 </li>
 <li>
 Establish modular, reusable patterns for scalable and compliant AI platforms.
 </li>
 <li>
 Partner with business and tech leaders to shape AI strategy and value propositions.
 </li>
 <li>
 Conduct technical workshops, pre-sales reviews, and solution design sessions.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design (Strong)
 </li>
 <li>
 Cloud-Native GenAI Development (Strong)
 </li>
 <li>
 Data Science on Azure (Strong)
 </li>
 <li>
 Machine Learning Solution Design (Strong)
 </li>
 <li>
 Advanced RAG Workflow Design (Strong)
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems.
 
 
 </li>
 </ul>
 
 Nice-to-Have:
 
 
 
 <ul>
 <li>
 Experience with Compass AI services.
 </li>
 <li>
 Arabic language proficiency (verbal &amp; written).
 
 
 </li>
 </ul>
 Join us to
 
 shape enterprise AI architecture and accelerate digital transformation across the UAE
 
 .
</div>

Enterprise AI Architect

<div>
 
 Job Description
 
 
 
 Design and deliver
 
 enterprise-grade AI solutions
 
 across LLM, ML, and knowledge engineering domains. Work with engineering teams to build
 
 scalable, secure, and cloud-native AI architectures
 
 aligned with enterprise standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
 </li>
 <li>
 Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
 </li>
 <li>
 Implement vector databases with advanced indexing and low-latency retrieval.
 </li>
 <li>
 Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
 </li>
 <li>
 Collaborate with stakeholders and communicate technical decisions clearly.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design
 </li>
 <li>
 Cloud-Native GenAI Development
 </li>
 <li>
 Data Science on Azure
 </li>
 <li>
 Machine Learning Solution Design
 </li>
 <li>
 Advanced RAG Workflow
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems
 
 
 </li>
 </ul>
 Arabic proficiency is a plus.
</div>

AI Solution Architect

Greenfield Marine Technologies

We are looking for a hands-on GenAI Engineer to design, build, and deploy production-grade AI applications powered by Large Language Models (LLMs). This role is focused on turning business use cases into reliable, scalable AI solutions such as copilots, knowledge assistants, document intelligence tools, and workflow automation systems.The ideal candidate combines strong software engineering skills with practical experience in LLM application development, Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and API integration. This person should be comfortable moving from prototype to production while optimizing for quality, latency, security, and cost. This builds on the original JD&rsquo;s emphasis on LLM apps, RAG, integrations, vector databases, and cloud deployment.Key Responsibilities:<ul><li>Design, develop, and deploy GenAI applications using LLMs for real-world business workflows.</li><li>Build AI-powered solutions such as chatbots, copilots, knowledge assistants, search assistants, and workflow automation tools</li><li>Architect and optimize RAG pipelines using structured and unstructured enterprise data.</li><li>Develop robust prompt strategies, guardrails, and response orchestration for accuracy and safety.</li><li>Integrate AI capabilities into web applications, backend systems, APIs, and enterprise platforms.</li><li>Work with vector databases and retrieval systems to improve relevance and response quality.</li><li>Evaluate model performance using defined quality metrics, test cases, and user feedback loops.</li><li>Improve production performance across latency, cost, scalability, observability, and reliability.</li><li>Collaborate with product, engineering, and business teams to translate use cases into deployable AI features.</li><li>Stay updated with emerging GenAI tools, frameworks, and model capabilities, and recommend practical adoption where relevant.</li></ul>Must-Have Skills: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong hands-on programming experience in Python. Experience building GenAI applications using frameworks such as LangChain, LlamaIndex, or equivalent orchestration tools. Experience working with OpenAI APIs, Anthropic, Bedrock, Azure OpenAI, or similar LLM platforms. Strong understanding of prompt engineering, RAG architecture, and LLM application design. Experience integrating AI models with REST APIs, web applications, and backend services. Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or similar. Good understanding of machine learning and NLP fundamentals.Experience deploying production-ready applications on AWS, Azure, or GCP.Ability to evaluate and improve model quality, including hallucination reduction and retrieval performance.Understanding of security, access control, and safe handling of enterprise data in AI applications.Preferred Skills : Experience with Amazon Bedrock. Experience with multimodal AI applications involving text, images, PDFs, and document processing. Familiarity with fine-tuning, adapters, or domain adaptation techniques for LLMs.Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps workflows.Exposure to observability and monitoring tools for AI systems.Experience building domain-specific assistants for operations, compliance, technical support, or enterprise knowledge systems.Experience Required:2&ndash;3 years of experience in software engineering, machine learning, or AI application development.At least 1&ndash;2 years of practical experience working on GenAI / LLM-based applications in production or advanced PoCs.Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Visa Status?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Visa Expiry Date?</li><li>Duration of Notice Period?</li><li>Mention your available dates for an online interview</li></ul>Experience:<ul><li>GenAI: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

GenAI Engineer

Cognite

<div>
 Cognite operates at the forefront of
 
 industrial digitalization, building AI
 
 and data solutions that solve some of the world&rsquo;s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
 
 
 Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
 
 
 What Cognite is Relentless to achieve
 
 
 We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you&rsquo;ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
 
 
 How you&rsquo;ll demonstrate
 
 Ownership
 
 
 
 The Enterprise Field Engineering team leads the technical relationship as a customer scales beyond initial implementations and deployments into broader expansion and full enterprise-wide adoption. Enterprise Field Engineers help to validate technology fit, architect and demonstrate new use cases and support deployment and operationalization as adoption expands. They are also essential in enabling our partner ecosystem, ensuring solution integrity, and elevating the Cognite experience through feedback loops to Product and Customer Enablement.
 
 
 The Enterprise Field Engineering team works in close partnership with the Account Management team to grow and expand customers to enterprise scale and beyond.
 
 
 The Impact you bring to Cognite
 
 
 
 Client Engagement and Solution Development
 
 
 
 <ul>
 <li>
 You act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps to secure their willingness and confidence to scale and expand their use of Cognite Data Fusion&reg;.
 </li>
 <li>
 Your close collaboration with Account Managers and Sales teams results in identified and prioritized client opportunities that drive mutual business value.
 
 
 </li>
 </ul>
 
 Client Education and Technical Representation
 
 
 
 <ul>
 <li>
 You educate clients on Cognite Data Fusion&reg; and related offerings, leading to successful adoption, solution integration, and value realization.
 </li>
 <li>
 You develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.
 </li>
 <li>
 You represent Cognite in client meetings, workshops, and technical briefings to leverage your technical expertise to build client confidence.
 
 
 </li>
 </ul>
 
 Internal Collaboration and Product Alignment
 
 
 
 <ul>
 <li>
 You act as a bridge between clients and Cognite&rsquo;s Product organization, translating client feedback and needs into clear, actionable product requirements.
 </li>
 <li>
 You ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite&rsquo;s broader product strategy.
 </li>
 <li>
 You provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.
 
 
 </li>
 </ul>
 
 Sales and Field Engineering Enablement
 
 
 
 <ul>
 <li>
 You partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.
 </li>
 <li>
 You serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.
 </li>
 <li>
 You organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.
 
 
 </li>
 </ul>
 
 Technical Leadership and Best Practices
 
 
 
 <ul>
 <li>
 You develop and promote best practices, frameworks, and reference architectures to strengthen Cognite&rsquo;s position as a leader in client-focused industrial solutions.
 </li>
 <li>
 You mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.
 </li>
 <li>
 You share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
 </li>
 <li>
 Hands-on in Python, as well as good hands-on expertise with software development best practices.
 </li>
 <li>
 Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.
 </li>
 <li>
 Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.
 </li>
 <li>
 Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance &mdash; particularly in cloud and hybrid environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Education or practical experience relevant to our key industry focus areas. (E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.)
 </li>
 <li>
 Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.
 </li>
 <li>
 Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.
 </li>
 <li>
 Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.
 </li>
 <li>
 Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.
 
 
 </li>
 </ul>
 
 
 Equal Opportunity
 
 
 
 
 
 Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
 
</div>

Enterprise / Principal Field Engineer

Salt

<div>
 
 
 
 Oracle Fusion Solution Architect &ndash; Procurement - 6 Month Contract (extendable)
 
 
 
 
 
 
 
 📍 Abu Dhabi (Onsite)
 
 
 🕒 6-Month Contract - long term project so this can be extended
 
 
 🚀 Immediate / Short Notice Preferred (max 30 days)
 
 
 
 
 
 We&rsquo;re supporting a major client in Abu Dhabi who is looking for a highly capable
 
 Oracle Fusion Solution Architect
 
 with deep expertise across
 
 Procurement modules
 
 .
 
 
 
 
 
 This is a hands-on, client-facing architecture role where you&rsquo;ll shape solution design, lead functional conversations, and ensure Oracle Fusion Procurement is configured and aligned to business objectives.
 
 
 
 
 
 
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Strong experience as an
 
 Oracle Fusion Solution Architect
 
 </li>
 <li>
 Deep expertise across
 
 Fusion Procurement
 
 (P2P, Sourcing, Supplier Management, Contracts, etc.)
 </li>
 <li>
 Proven experience designing end-to-end solutions in complex enterprise environments
 </li>
 <li>
 Excellent client-facing presence &ndash; able to lead workshops, challenge constructively, and advise at senior level
 </li>
 <li>
 Clear, confident communicator who can translate technical design into business language
 </li>
 <li>
 Available immediately or on short notice
 </li>
 </ul>
 
 
 
 
 
 The Environment:
 
 
 <ul>
 <li>
 Large-scale programme
 </li>
 <li>
 On-site engagement in Abu Dhabi
 </li>
 <li>
 High-visibility stakeholder exposure
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re a strong Oracle Fusion Architect who can own procurement design and engage confidently with senior stakeholders, I&rsquo;d be keen to speak.
 
</div>

Oracle Fusion Solution Architect

Datacube Consultancy & Solutions

<div>Job summary:

We are looking for a Solution Architect responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop, mobile &amp; Tablet) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.

Responsibilities:
<ul>
<li>Translate application storyboards and use cases into functional applications.</li>
<li>Design, build, and maintain efficient, reusable, and reliable Java code.</li>
<li>Ensure the best possible performance, quality, and responsiveness of the applications.</li>
<li>Identify bottlenecks and bugs, and devise solutions to these problems.</li>
<li>Help maintain code quality, organization, and automatization.</li>
<li>Managing team and successfully delivering the project.</li>
</ul>
Qualification:
<ul>
<li>Senior professional with 13 + years of experience.</li>
<li>S. or higher in Computer Science or other technical discipline, or related practical experience</li>
<li>5+ years of professional software development experience.</li>
<li>5+ years of experience designing, executing, and supporting IT cloud solutions.</li>
<li>Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required</li>
<li>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</li>
<li>Experience and expertise in delivering architectures for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</li>
<li>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</li>
<li>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, AWS Cloud (good to have Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</li>
<li>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</li>
<li>Proficient in Java &amp; Java EE, Python with a good knowledge of its ecosystems and skill to write reusable components/Java libraries.</li>
<li>Deep familiarity with TOGAF, Generative AI, LLM and cloud platforms such as AWS (mandatory), Azure (good to have) or Google (good to have).</li>
<li>Work experience in Spring boot 2.x , Spring cloud, Angular &gt; 12 /React JS and knowledge on Node JS.</li>
<li>Familiarity with concepts of Generative AI, LLM, OOPS, MVC, JDBC, and RESTful and Experience with WSDL, XML, XSD, JSON and Swagger Open API specification.</li>
<li>Experience in NoSQL (AWS DynamoDB preferable) and RDBMS DB (Oracle, PostgreSQL), In memory Database. Should be able to write complex SQL queries / procedure and functions.</li>
<li>Design &amp; Creating database schemas that represent and support business processes.</li>
<li>Work experience in Spring framework (Spring core / Spring Batch / AOP / Spring Data / Spring JDBC / Spring Boot), Hibernate ORM. And Working experience in Spring Security and OAuth2 implementation.</li>
<li>Experience with messaging technology like JMS, Active MQ, IBM MQ and Experience with Apache Kafka.</li>
<li>Good to have experience in container-based architecture &ndash; Kubernetes, docker, CI/CD like Jenkins and Gitlab CI/CD.</li>
<li>Implementing automated testing platforms and unit tests</li>
<li>Proficient understanding of code versioning tools, such as RTC, GIT.</li>
<li>Familiarity with build tools such as Ant, Maven, and Gradle.</li></ul></div>

Solution Architect

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 Engineering Lead 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.
<div></div>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><div></div>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 Engineering Lead - Abu Dhabi, UAE

Explore 80+ Enterprise ai architect in Abu Dhabi this April. Find roles across top companies and apply now to boost your career.