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associate ui designer - trading platform user interface

ai conversational ux designer

Nagarro

<div>Job Description 
We are looking for an experienced UX Designer (8&ndash;12 years) to design and optimize AI-driven conversational experiences across chatbots, voice assistants, and Generative AI interfaces. You will craft intuitive dialogue flows, engineer prompts, and ensure seamless user interaction with AI systems.
Key Responsibilities:<ul><li>
Design dialogue flows, intents, and responses for chatbots and voice assistants.</li><li>
Apply UX, linguistics, and cognitive psychology principles to conversational design.</li><li>
Build and maintain prompt libraries, fallback strategies, and evaluation frameworks.</li><li>
Conduct user research, develop personas, and analyze conversation logs for improvements.</li><li>
Collaborate with product managers and engineers in agile squads.</li></ul>
Must-Have Skills:<ul><li>
Strong Generative AI fundamentals.</li><li>
Expertise in conversational design and prompt engineering.</li><li>
Arabic language proficiency (verbal &amp; written).</li></ul></div>

AI Conversational UX Designer

AppliedAI

<div>
 
 
 Principal / Lead Designer
 
 
 
 Onsite | Abu Dhabi
 
 
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services.
 
 
 
 
 
 We are seeking a skilled and dynamic Principal Designer to join our team and help shape intuitive, powerful user experiences on our Opus platform.
 
 
 
 
 
 We are building a category-defining AI platform, and we need a Principal/Lead Product Designer who blends world-class craft, systems thinking, and deep AI literacy. Someone who can imagine experiences that don&rsquo;t exist yet - then bring them to life with elegance, precision, and speed.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Define the Vision
 
 
 
 
 
 <ul>
 <li>
 Create a north-star experience for how users interact with AI - intuitive, human, and beautifully simple.
 </li>
 <li>
 Shape the design language, patterns, motion principles, and identity that define our product for years to come.Translate business goals into cohesive product concepts and experience strategies.
 </li>
 </ul>
 
 
 
 
 
 Own &amp; Ship World-Class Product
 
 
 
 
 
 <ul>
 <li>
 Own a major product area end-to-end: research, user flows, prototyping, visuals, interactions, and implementation.
 </li>
 <li>
 Drive features from concept to prototype to shipped experience, ensuring every detail is polished and intentional.
 </li>
 <li>
 Collaborate closely with engineering to ensure craft, behaviours, animations, and micro-interactions survive the build process.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Leadership
 
 
 
 
 
 <ul>
 <li>
 Influence and align stakeholders across engineering, product, AI teams, and leadership.
 </li>
 <li>
 Communicate design rationale clearly to both technical and non-design audiences.
 </li>
 <li>
 Act as a thought partner to senior product and engineering leads on strategy and trade-offs.
 </li>
 </ul>
 
 
 
 
 
 Research, Insights &amp; Data
 
 
 
 
 
 <ul>
 <li>
 Partner with research to understand user behaviours, needs, and pain points.
 </li>
 <li>
 Use qualitative and quantitative data to guide decisions and measure success.
 </li>
 <li>
 Run iterative experiments, define goals, track metrics, and refine designs based on insights.
 </li>
 </ul>
 
 
 
 
 
 Raise the Bar for Craft
 
 
 
 
 
 <ul>
 <li>
 Set an exceptionally high bar for UX, visual design, interaction quality, and emotional experience.
 </li>
 <li>
 Mentor other designers and elevate the design culture.
 </li>
 <li>
 Own and evolve the design system - ensuring scalability, consistency, and delight.
 </li>
 </ul>
 
 
 
 
 
 AI-Specific Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design new interaction paradigms for AI agents, automation, co-pilots, and generative experiences.
 </li>
 <li>
 Partner with AI model training teams to prototype behaviours, prompt patterns, and explainability features.
 </li>
 <li>
 Experiment with new modalities (text, voice, workflow automation, predictive UX, intelligent defaults).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 Required
 
 
 
 
 
 <ul>
 <li>
 7&ndash;12+ years of product design experience in high-craft, product-forward companies or design agency
 </li>
 <li>
 Portfolio demonstrating end-to-end ownership and shipped, world-class digital products.
 </li>
 <li>
 Experience defining a design language or design system.
 </li>
 <li>
 Proven ability to lead complex, ambiguous projects through to polished implementation.
 </li>
 <li>
 Strong system thinking + visual design + interaction design.
 </li>
 <li>
 Ability to work fast and iteratively in startup-like environments
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred
 
 
 
 
 
 <ul>
 <li>
 Experience designing AI-driven or data-intensive products.
 </li>
 <li>
 Experience collaborating with AI model training or LLM teams.
 </li>
 <li>
 Track record of setting design vision in a high-growth or high-impact environment.
 </li>
 <li>
 Experience partnering with major technology companies or external design teams.
 </li>
 <li>
 Motion design or prototyping expertise (Figma, ProtoPie, Principle, Framer).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a leading AI technology company.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Growing, entrepreneurial and forward-thinking culture.
 </li>
 <li>
 Career growth and professional development opportunities.
 </li>
 <li>
 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
 </li>
 <li>
 21 days of paid annual leave.
 </li>
 <li>
 Comprehensive private health insurance.
 </li>
 <li>
 Visa sponsorship for international candidates.
 </li>
 </ul>
</div>

Principal / Lead Designer

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

<div>Job Description 
Build and implement production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure. Ensure reliability, scalability, and continuous improvement across AI workloads.
Key Responsibilities:<ul><li>
Develop modular Python code for LLM, RAG, and ML components.</li><li>
Build APIs, orchestration scripts, and integration layers for enterprise apps.</li><li>
Implement RAG workflows, vector DB configurations, and prompt engineering.</li><li>
Deploy and monitor AI models using containerization and CI/CD pipelines.</li><li>
Collaborate with architects and product teams to refine designs and deliverables.</li></ul>
Must-Have Skills:<ul><li>
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design</li><li>
Python (Strong) and advanced RAG Workflow experience</li><li>
Hands-on with agentic GenAI components and ML pipelines</li></ul>
Arabic proficiency is a plus.</div>

AI Platform & Application Engineer

<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

<div>Job Description 
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:<ul><li>
Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.</li><li>
Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.</li><li>
Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.</li><li>
Translate research into applied solutions and lead PoC evaluations.</li><li>
Manage end-to-end delivery, UAT, and production rollout readiness.</li></ul>
Must-Have Skills:<ul><li>
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design</li><li>
Python (Strong) and advanced RAG Workflow experience</li><li>
Hands-on with agentic workflows and scalable LLM integrations</li></ul>
Arabic proficiency is a plus.</div>

Lead Gen AI Engineer

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.
The Project Lead drives the design, delivery, and operational rollout of an internal AI-powered text-to-SQL query platform that enables natural language access to enterprise data across multiple BI systems. This role sits at the intersection of LLM engineering, semantic data modeling, BI metadata management, and pragmatic delivery leadership.
The role leads a focused 5&ndash;7 person team to deliver a production-ready conversational query layer in a fast-paced window. This role requires an individual who thrives on execution, cuts through complexity, and knows how to ship working AI solutions quickly and safely.
Key Responsibilities of the role include:
AI &amp; Data Delivery<ul><li>
Lead end-to-end delivery of an internal conversational AI interface that converts natural language questions into SQL queries.</li><li>
Drive the evaluation and implementation of semantic model generation approaches (vendor-based and in-house custom development).</li><li>
Build and operationalize a query stack hosted inside the company&rsquo;s VPC.</li></ul>
Semantic Layer &amp; BI Integration<ul><li>
Design, refine, and implement a semantic layer that supports accurate text-to-SQL translation.</li><li>
Integrate the solution across existing BI platforms (MicroStrategy, Power BI, Tableau) without requiring tool migration.</li><li>
Ensure alignment with enterprise data governance and the company&rsquo;s &ldquo;Data for AI&rdquo; initiative.</li></ul>
Vendor &amp; Tooling Strategy<ul><li>
Assess capabilities of MicroStrategy&rsquo;s AI features, Microsoft Azure-native tools, and emerging startup solutions.</li><li>
Provide a balanced BI tooling recommendation based on operational needs and platform capabilities.</li><li>
Mitigate vendor lock-in by evaluating multiple options and architecting flexible solutions.</li></ul>
Cross-Functional Leadership<ul><li>
Work with domain SMEs in Finance and Retail to incorporate business context into the semantic layer.</li><li>
Collaborate with internal data, BI, and AI engineering teams.</li><li>
Provide clear, actionable updates to senior leadership with a bias toward rapid decision-making.</li></ul>
Requirements<ul><li>
7&ndash;12+ years in Data Engineering, ML Engineering, Data Architecture, or Applied AI.</li><li>
Hands-on experience with:</li><li><ul><li>
Text-to-SQL or NL-to-query systems</li></ul></li><li><ul><li>
Conversational AI (LLMs, prompt engineering, fine-tuning)</li></ul></li><li><ul><li>
Semantic modeling, MDM concepts, ontologies, or BI metadata layers</li></ul></li></ul><ul>
<li><ul><li>SQL and BI ecosystems (Power BI, Tableau, MicroStrategy)</li></ul></li>
<li><ul><li>Comfortable integrating LLMs with data warehouses, APIs, and enterprise cloud environments.</li></ul></li>
<li><ul><li>Demonstrated success delivering complex AI/data projects under compressed timelines.</li></ul></li>
<li><ul><li>Fast, pragmatic decision-maker who avoids analysis paralysis.</li></ul></li>
<li><ul><li>Strong cross-functional communication and stakeholder management skills.</li></ul></li>
<li><ul><li>Experience leading small, high-performance engineering teams.</li></ul></li>
</ul>
It would be great if you also have;<ul><li>
A background in Microsoft Azure ecosystem or Azure OpenAI.</li><li>
Previous exposure to Microsoft Fabric, dbt, semantic modeling tools, or metadata automation platforms.</li><li>
Previous experience building internal copilots or enterprise LLM applications.</li></ul>
Please note: This is a 6 month Fixed term contractually initially, with the potential to extend.
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>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.
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>

Project Lead (AI Text-to-SQL & Semantic Layer)

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