sales engineer

senior architect

automation specialist

technical sales engineer

ai / ml engineer

ai solutions architect

Naffco

<div></div><div>Experience: 2 - 8 yrs. | Opening: 1
 
Education:Any Graduation 
Nationality: Any Nationality 
Industry Type:Industrial Products / Heavy Machinery 
Functional Area:Software Development / Application Development (IT Software) Sep 16,2025 
<div><div>
</div></div><div></div><h3 class="jobSectionHeader">Job Description</h3>
<div>Job Purpose:
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle &mdash; from model training to deployment &mdash; ensuring scalable and business-aligned solutions.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>AI Module Development &amp; Integration &ndash; Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.</li><li>Machine Learning Model Lifecycle &ndash; Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.</li><li>System &amp; Platform Integration &ndash; Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.</li><li>Model Training&ndash; Prepare data, select algorithms, and train models with high accuracy and scalability.</li><li>Production Deployment &ndash; Deploy, monitor, and optimize ML models in production environments (cloud and edge).</li><li>Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.</li></ul><h3 class="jobSectionHeader"> 
Qualifications &amp; Skills:</h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).</li><li>Proven hands-on experience in ML model training and production deployment.</li><li>Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).</li><li>Experience in data engineering &amp; API integration.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).</li></ul><h3 class="jobSectionHeader">
Key Competencies:</h3><ul><li>End-to-end ownership of ML model lifecycle.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to bridge technical solutions with business impact.</li></ul> 

</div><div>Keyword: AI Software Developer,AI,AI Platform Engineer,IoT,AI Solutions Architect,Machine Learning,AI Engineer,Deep Learning,AI Module Developer,AI Systems Engineer,IoT AI Specialist,Machine Learning Engineer,Embedded AI Engineer,TensorFlow,PyTorch</div></div>

AI Module Development Engineer – IoT & Digital Platforms

Deeplight

<div><h3 class="jobSectionHeader">About the Role</h3>
We&rsquo;re looking for a GenAI Solutions Architect to join our growing AI delivery team. You&rsquo;ll design and build large language model (LLM) systems that move beyond experimentation and into real-world production&mdash;powering search, summarization, knowledge assistants, and automation for enterprise clients.
This is a hands-on, execution-focused role. You&rsquo;ll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won&rsquo;t be buried in research or building theoretical models&mdash;you&rsquo;ll be deploying actual systems that users rely on every day.
Requirements<h3 class="jobSectionHeader">
What You&rsquo;ll Do</h3><ul>
<li>Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines</li>
<li>Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant)</li>
<li>Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints</li>
<li>Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind</li>
<li>Collaborate with cross-functional teams&mdash;translating complex GenAI architectures into stable, maintainable features that support product delivery</li>
<li>Write and review technical design documents and remain actively involved in implementation decisions</li>
<li>Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)</li>
</ul><h3 class="jobSectionHeader">What You&rsquo;ll Bring</h3><ul>
<li>Proven experience building and deploying GenAI-powered applications, ideally in enterprise or regulated environments</li>
<li>Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g., RAG, prompt injection protection, tool use with agents)</li>
<li>Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs
</li><li>Experience with vector databases such as FAISS, Qdrant, or Pinecone</li>
<li>Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization)</li>
<li>A delivery mindset&mdash;you know how to balance speed, quality, and feasibility in fast-moving projects</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3><ul>
<li>Experience building multi-tenant GenAI platforms
</li><li>Exposure to enterprise-grade AI governance and security standards</li>
<li>Familiarity with multi-modal architectures (e.g., text + image or audio)</li>
<li>Knowledge of cost-optimization strategies for LLM inference and token usage</li>
</ul><h3 class="jobSectionHeader">This Role Is Not For</h3><ul>
<li>ML researchers focused on academic model development without delivery experience</li>
<li>Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture</li>
<li>Engineers who haven&rsquo;t shipped GenAI products into production environments</li>
</ul>Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</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.</div>

GenAI Solutions Architect

Weatherford

<div>Job Overview:
 
In MENA, we are pioneering digital transformation in oilfield services, integrating AI and advanced analytics into drilling, production, reservoir management, and support functions. As part of this journey, we are seeking an AI Expert to accelerate adoption and create tangible business impact. The AI Expert will spearhead the development and deployment of AI-driven solutions across Weatherford MENA operations. The ideal candidate will combine strong technical AI/ML capabilities with an ability to understand oilfield services challenges and deliver business-relevant solutions. This role requires close collaboration with operations, engineering, IT, and functions teams to ensure AI projects deliver measurable efficiency, cost, safety, and sustainability gains.
Key Responsibilities:
<ul><li>Partner with operations, engineering, and business stakeholders to identify high-value use cases for AI in drilling, completions, production, functions (finance, supply chain, HR, HSE etc).
</li><li>Design, develop, and deploy AI/ML models tailored to oilfield data (e.g., drilling parameters, production logs, equipment telemetry, geoscience data).
</li><li>Build and operationalize ML pipelines and LLM-backed solutions (e.g., RAG assistants for engineers, predictive maintenance models, AI copilots for technical workflows).
</li><li>Ensure robust data governance, security, and compliance with regional regulations (UAE, Saudi, Algeria, etc.).
</li><li>Integrate AI solutions with Weatherford&rsquo;s digital platforms, field applications and enterprise systems.
</li><li>Lead POCs and pilot deployments to demonstrate tangible business outcomes, then scale across MENA operations.
</li><li>Train and mentor internal teams to adopt AI tools and develop &ldquo;citizen AI&rdquo; capabilities.
</li><li>Stay at the forefront of emerging AI technologies (LLMs, generative AI, edge AI) and adapt them to MENA oilfield use cases
</li></ul>Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related discipline.
</li><li>Proven experience applying AI/ML and data science preferably in industrial or energy domains (oil &amp; gas preferred).
</li><li>Strong coding skills in Python; familiarity with FastAPI, PyTorch, LangChain/LangGraph, vector DBs, Docker, CI/CD.
</li><li>Hands-on experience with productionizing models and managing MLOps pipelines.
</li><li>Ability to analyze and process large time-series and unstructured datasets (logs, images, sensor data).
</li>Excellent communication and cross-functional collaboration skills; ability to explain AI concepts to non-technical stakeholders. 
<li>
</li></ul>Preferred Qualifications:
<ul><li>Domain expertise in Oilfield Services is a plus (e.g., drilling optimization, predictive maintenance, production forecasting).
</li><li>Proficiency in programming languages such as Python, R, or Java.
</li><li>Experience with the following tech stack: Python, FastAPI, PyTorch, LangChain/LangGraph, vector DBs (pgvector/FAISS), Docker, CI/CD, Postgres, OpenAI/Anthropic + OSS LLMs, Langfuse, OpenTelemetry.
</li><li>Experience with GPU acceleration, model optimization, and edge deployment for field environments.
</li><li>Exposure to cloud environments (AWS/Azure/GCP) and hybrid/on-prem deployments.
</li><li>Awareness of data privacy, PII handling, and regional compliance requirements.
</li><li>Ability to design lightweight UIs (React/TypeScript) for internal users.
</li><li>Familiarity with generative AI use cases for technical documentation, knowledge management, and training.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li></ul>#LI-MD1</div>

AI & Analytics Lead

<div>
 In Financial Accounting &amp; Advisory Services (FAAS) within Assurance, we assist our clients to address the accounting and financial reporting challenges facing their business. You will be part of a team that provides insight and services that accelerate analytics, decision-making and innovation to build a stronger and more efficient finance function. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching.
 
 
 That is how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.
 
 
 Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
 
 
 
 The opportunity
 
 
 
 This opportunity is within our Data &amp; AI team and provides advisory services focused on AI Engineering and Generative AI (GenAI).
 
 
 As an AI Engineering professional, you will help businesses unlock value by designing, building, and operationalizing scalable AI solutions using modern MLOps pipelines and cloud-native technologies. You will work on integrating large language models (LLMs), automating workflows with GenAI, and embedding AI capabilities into business processes. The consultant will collaborate with data scientists, engineers, and business leaders to ensure the AI-driven solutions are aligned with strategic goals and deliver tangible business impact.
 
 
 This role will be based in Riyadh and center of excellence in Jordan and Egypt and will remotely support MENA client engagements. Based on business need, travel will be a requirement.
 
 
 In this fast-moving space, you will be a key driver in identifying opportunities, shaping offerings, and supporting business development efforts.
 
 
 
 Your Key Responsibilities
 
 
 
 In this exciting new role, you will manage up to two projects alongside senior business leaders such as Directors and Partners, and enable clients to define an AI-driven FAAS strategy that appropriately addresses risk and maximizes value from emerging technologies. You will help clients realize business value through AI use-cases&mdash;including
 
 LLMs,GenAI applications, and MLOps implementation
 
 .
 
 
 The role will also involve ensuring timely delivery in compliance with regulatory requirements, effective execution of the FAAS service delivery framework, working with other service lines for integrated service delivery, and monitoring engagement team performance against the budget. You will stay on top of emerging AI trends, evaluate innovative AI/GenAI tools, and support go-to-market efforts.
 
 
 
 Skills And Attributes For Success
 
 
 
 Proactivity, accountability, and results-driven mindset will be crucial in this environment. You&rsquo;ll need to manage competing priorities, communicate effectively with both technical and non-technical stakeholders, and drive high-quality, innovative deliverables.
 
 
 
 To qualify for the role, you must have
 
 
 
 <ul>
 <li>
 A bachelor's degree and approximately 3 to 4 years of related work experience
 </li>
 <li>
 Demonstrated work experience of at least 2 years in a global consulting firm
 </li>
 <li>
 Practical experience in AI and ML development with Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP)
 </li>
 <li>
 Hands-on experience building and fine-tuning LLMs, working with frameworks like LangChain, HuggingFace, or OpenAI APIs
 </li>
 <li>
 Experience designing MLOps pipelines, AI solution architecture, and deploying AI models in production
 </li>
 <li>
 Exposure to GenAI use cases such as document summarization, chatbots, intelligent assistants, and code generation
 </li>
 <li>
 Domain knowledge in one or more of the following: Government, Healthcare, Financial Services, Retail, Telecom
 </li>
 <li>
 Strong ability to translate complex business problems into AI solutions with measurable impact
 </li>
 <li>
 Knowledge of data privacy, ethical AI, and responsible AI principles
 </li>
 <li>
 Flexibility and willingness to travel on short notice, as necessary
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also have
 
 
 
 <ul>
 <li>
 Track record with a leading consulting firm
 </li>
 <li>
 Experience with GenAI tooling ecosystems such as Azure OpenAI, Google Vertex AI, or AWS Bedrock
 </li>
 <li>
 Proficiency in the Arabic language
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 We are seeking ambitious leaders, who are passionate about applying AI and GenAI to solve complex client problems. You should have an entrepreneurial mindset, be accountable for results, and eager to mentor the next generation of talent within EY.
 
 
 
 What We Offer
 
 
 
 We offer a competitive compensation package where you&rsquo;ll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:
 
 
 <ul>
 <li>
 Continuous learning: You&rsquo;ll develop the mindset and skills to navigate whatever comes next.
 </li>
 <li>
 Success as defined by you: We&rsquo;ll provide the tools and flexibility, so you can make a meaningful impact, your way.
 </li>
 <li>
 Transformative leadership: We&rsquo;ll give you the insights, coaching and confidence to be the leader the world needs.
 </li>
 <li>
 Diverse and inclusive culture: You&rsquo;ll be embraced for who you are and empowered to use your voice to help others find theirs.
 
 
 </li>
 </ul>
 If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
 
 
 
 The Exceptional EY Experience. It&rsquo;s Yours To Build.
 
 
 
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

Consultant, AI Software Engineer, FAAS, Dubai

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Lab49
 
 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
 
 
 
 Lab49
 
 is hiring a Lead AI Engineer for an exciting opportunity in one of the worlds most dynamic business hubs. This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.
 
 
 
 Job Summary
 
 
 
 As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI&ndash;based solution for a major B2C company in Dubai, a market leader in its sector.
 
 
 The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client&rsquo;s existing digital and enterprise systems.
 
 
 You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Solution Design:
 </li>
 <li>
 Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
 </li>
 <li>
 Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
 </li>
 <li>
 Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
 </li>
 <li>
 Application Development:
 </li>
 <li>
 Build and maintain production-grade agentic AI services in Python
 </li>
 <li>
 Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
 </li>
 <li>
 Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
 </li>
 <li>
 Develop and integrate RAG pipelines, vector stores, and structured output parsing
 </li>
 <li>
 Contribute to re-usable libraries and accelerators
 </li>
 <li>
 Write clean, testable code and ensure robust CI/CD and deployment pipelines are in place
 </li>
 <li>
 Technical Leadership:
 </li>
 <li>
 Provide technical guidance to junior and mid-level developers
 </li>
 <li>
 Conduct code reviews and maintaining high standards of software quality
 </li>
 <li>
 Collaborate closely with product managers, front-end developers, and Lab49&rsquo;s and Client&rsquo;s architecture and QA teams
 </li>
 <li>
 Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Required experience and skills:
 </li>
 <li>
 Bachelors degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred
 </li>
 <li>
 5 to 10 years of hands-on software engineering experience
 </li>
 <li>
 Strong expertise in Python and modern backend development practices
 </li>
 <li>
 At least 2 years implementing LLM and Agentic AI solutions
 </li>
 <li>
 Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
 </li>
 <li>
 Solid understanding of cloud-native AI services, preferably on AWS
 </li>
 <li>
 Experience working in an agile, product-oriented delivery environment
 </li>
 <li>
 Desired experience and skills:
 </li>
 <li>
 Experience with RAG architectures, information extraction, and vector databases is desirable
 </li>
 <li>
 Experience with Agno is a strong plus.
 </li>
 <li>
 Details of the hybrid model: the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://on.iongroup.com/3QN0vLD Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
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</div>

Lead AI Engineer UAE

Algotery

About Algotery Algotery is an AWS Partner and AI-native software development company delivering scalable, secure, and modern cloud solutions. We work with enterprises and startups to design and implement future-ready infrastructures on AWS and beyond.Role Overview We are seeking a Cloud Architect to design and oversee the implementation of cloud-native solutions for client projects. You will be responsible for defining cloud strategies, high-level architectures, and ensuring best practices around scalability, security, and cost optimization.Key Responsibilities<ul><li>Design end-to-end cloud architectures on AWS (and multi-cloud when required).</li><li>Translate business requirements into scalable, secure, and resilient architectures.</li><li>Provide architectural guidance across infrastructure, data, and application domains.</li><li>Define governance, compliance, and security models.</li><li>Automate implementation teams to ensure smooth project delivery.</li><li>Conduct cost analysis and design for optimized cloud spend.</li></ul>Qualifications<ul><li>7+ years of experience in cloud solution design (AWS mandatory, Azure/GCP a plus).</li><li>Strong expertise in VPC design, IAM, security, networking, and multi-account setups.</li><li>Experience with Kubernetes, container orchestration, and serverless architectures.</li><li>Familiarity with Infrastructure as Code (Terraform/CloudFormation/CDK).</li><li>Strong knowledge of data platforms (RDS, Aurora, Redshift, S3, Lake Formation).</li><li>AWS Certified Solutions Architect Professional (preferred).</li></ul>Role Type: Remote, Project-based/ContractorJob Type: Contract Contract length: 6 months

Cloud Architect (Remote)

Explore 2734+ Ai solutions architect in Dubai this October. Find roles across top companies and apply now to boost your career.

2734 ai solutions architect jobs IN Dubai

AI Module Development Engineer – IoT & Digital Platforms

GenAI Solutions Architect

AI & Analytics Lead

Consultant, AI Software Engineer, FAAS, Dubai

Lead AI Engineer UAE

Lead AI Engineer UAE

Cloud Architect (Remote)