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York Towers

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 
 
 
 
 
 
 About The Role
 
 
 
 As AI Lead, you will own both our
 
 ML and LLM workstreams
 
 : defining the technical architecture, governing production systems, and leading the team that ships them. This is a hands-on leadership position &mdash; you are expected to be close to the technical decisions, not just the roadmap.
 
 
 
 The immediate scope spans two areas:
 
 maturing our ML platform (pricing, forecasting, drift monitoring) and scaling our agentic AI systems into robust, production-grade infrastructure.
 
 
 You will lead a team of 3&ndash;7 engineers, staying hands-on technically while owning delivery, standards, and team growth.
 
 
 
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 
 Own the full ML lifecycle
 
 &nbsp;&mdash; feature engineering, training, evaluation, deployment, and drift monitoring for pricing, rent, and ROI prediction models
 </li>
 <li>
 
 Define the experimentation framework
 
 &nbsp;&mdash; data contracts, labelling strategies, A/B testing pipelines, guardrail metrics, and rollback procedures
 </li>
 <li>
 
 Architect production agentic systems
 
 &nbsp;&mdash; design LLM-based multi-agent workflows with deterministic state machines, guardrail layers, and escalation logic
 </li>
 <li>
 
 Lead infrastructure and platform decisions
 
 &nbsp;&mdash; FastAPI microservices on AWS ECS, model serving, CI/CD (GitHub Actions + MLflow), and end-to-end observability
 </li>
 <li>
 
 Drive research and evaluation
 
 &nbsp;&mdash; assess new approaches across supervised learning, NLP, and agentic AI; decide what gets built, what gets dropped, and why
 </li>
 <li>
 
 Lead a team of 3&ndash;7 engineers
 
 &nbsp;&mdash; set engineering standards, conduct code and design reviews, mentor team members, and participate in hiring as the technical voice
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We're Looking For
 
 
 
 
 
 
 
 Required
 
 
 <ul>
 <li>
 
 6+ years
 
 &nbsp;of ML engineering experience, with at least 3 years in a technical lead or senior individual contributor role
 </li>
 <li>
 Production-scale ML: supervised learning, gradient boosting (XGBoost / LightGBM), regression, feature engineering, and model evaluation
 </li>
 <li>
 Solid MLOps practice: experiment tracking, model registry, canary deployments, drift detection, and incident response
 </li>
 <li>
 
 2+ years
 
 &nbsp;working with LLM orchestration, RAG architectures, or multi-agent system design
 </li>
 <li>
 Demonstrated experience leading a team of engineers &mdash; including hiring, mentoring, setting technical direction, and translating AI capabilities into product outcomes
 
 
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience building and deploying FastAPI-based ML services on AWS (ECS, S3, RDS)
 </li>
 <li>
 Experience with speech pipelines (STT / TTS) or multilingual NLP &mdash; Arabic dialect knowledge is a strong plus
 </li>
 <li>
 Familiarity with geospatial data or similarity search (FAISS, pgvector, Ball Tree)
 </li>
 <li>
 Background in lead scoring, recommendation systems, or content moderation
 </li>
 <li>
 Real estate, PropTech, or marketplace experience
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 
 Fully remote
 
 </li>
 <li>
 High ownership over both AI architecture and team direction
 </li>
 <li>
 Direct exposure to a complex, multilingual, geospatial AI problem space operating at real market scale
 
 
 </li>
 </ul>
 
 
 
 
 
 
</div>

AI Team Lead

Finaira

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers.
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions.
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.
 
 
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

Principal AI Engineer

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

<div>
 
 
 Job Summary
 
 
 
 
 
 
 The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Planning &amp; Roadmap Development
 
 
 <ul>
 <li>
 Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
 </li>
 <li>
 Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
 </li>
 <li>
 Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
 </li>
 </ul>
 
 
 2. AI Implementation &amp; Orchestration
 
 
 <ul>
 <li>
 Lead the deployment of
 
 Agentic AI
 
 (autonomous agents) and
 
 RAG-based
 
 (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
 </li>
 <li>
 Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
 </li>
 <li>
 Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
 </li>
 </ul>
 
 
 3. AI Governance &amp; Ethics
 
 
 <ul>
 <li>
 Establish frameworks for
 
 Responsible AI
 
 , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
 </li>
 <li>
 Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
 </li>
 </ul>
 
 
 4. Change Management &amp; Enablement
 
 
 <ul>
 <li>
 Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
 </li>
 <li>
 Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
 </li>
 <li>
 Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 Technical Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
 </li>
 <li>
 
 Experience:
 
 6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
 </li>
 <li>
 
 AI Fluency:
 
 Deep understanding of Generative AI capabilities, LLM lifecycles, and
 
 Agentic Workflows
 
 . You don't need to be a coder, but you must be able to "speak engineer."
 </li>
 <li>
 
 Data Literacy:
 
 Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Certifications (Preferred)
 
 
 
 
 
 <ul>
 <li>
 
 Certifications:
 
 Microsoft Certified: AI Transformation Leader, PMP, or similar.
 </li>
 <li>
 
 Tooling Knowledge:
 
 Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
 </li>
 </ul>
 
 
</div>

AI Transformation Manager

<div>
 
 At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape.
 
 
 
 The difference you will make:
 
 
 
 &middot; Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence.
 
 
 &middot; Drive the technical vision and architecture for our AI/ML platform. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI.
 
 
 &middot; Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand.
 
 
 &middot; Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems.
 
 
 &middot; Guide the team through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations.
 
 
 &middot; Implement and enforce best practices for the machine learning development lifecycle (MLOps) to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients.
 
 
 &middot; Develop and articulate our firm's point of view on the application of AI in banking and fintech, representing the company through white papers, conference presentations, and executive briefings.
 
 
 &middot; Proactively manage complex service incidents, problems, and changes, ensuring effective communication and resolution with stakeholders.
 
 
 &middot; Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery.
 
 
 &middot; Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps.
 
 
 
 
 
 Requirements
 
 
 
 What you will bring to the role:
 
 
 
 &middot; Bachelor&rsquo;s degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred.
 
 
 &middot; 8+ years of professional experience in data science or machine learning, with at least 3 years in a technical leadership or management role.
 
 
 &middot; Experience in a client-facing or technical advisory role, with the ability to communicate complex machine learning concepts to both technical and executive audiences.
 
 
 &middot; Expert-level proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.
 
 
 &middot; Demonstrable experience architecting and deploying ML models into a production environment on a major cloud &amp; on-prem platform (AWS, GCP, Azure, Cloudera).
 
 
 &middot; Strong theoretical understanding of a broad range of machine learning concepts, including deep learning, NLP, and statistical modeling.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 &middot; Experience building and scaling an AI/ML team from an early stage.
 
 
 &middot; Direct experience in the fintech or banking industry, particularly with financial data (e.g., time-series analysis, credit scoring, anti-money laundering (AML)).
 
 
 &middot; A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, KDD).
 
 
 &middot; Experience defining go-to-market strategies for technology-driven products or services.
 
 
 
 Soft Skills:
 
 
 
 o Proven ability to inspire, motivate, and mentor senior technical teams and managers.
 
 
 o Outstanding analytical, critical thinking, and complex problem-solving skills, with a focus on systemic improvements and strategic impact.
 
 
 o Superior communication (verbal, written, executive presentations) and negotiation skills, capable of influencing at the executive and board levels.
 
 
 o Strong business acumen with the ability to translate technical AI/ML capabilities into strategic business value and revenue opportunities.
 
 
 o Demonstrated ability to drive cultural change towards innovation and excellence in AI/ML engineering.
 
</div>

Manager, AI Services Engineering

Valeo

<div>
 
 We are looking for a
 
 Senior UI/UX Designer
 
 to join the
 
 AI4All global team
 
 and lead the design of intuitive, scalable, and impactful AI-powered digital products.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead end-to-end UX/UI design for complex AI-driven products, from discovery to launch.
 </li>
 <li>
 Own UX strategy, information architecture, interaction models, and experience vision.
 </li>
 <li>
 Design high-fidelity user flows, wireframes, prototypes, and production-ready UI.
 </li>
 <li>
 Engage directly with customers, users, and stakeholders to understand needs, pain points, and expectations.
 </li>
 <li>
 Plan and conduct user research, interviews, workshops, and usability testing with customers and internal teams.
 </li>
 <li>
 Facilitate design discussions and present design solutions to stakeholders, clearly explaining rationale, trade-offs, and impact.
 </li>
 <li>
 Collaborate closely with product owners, developers, data scientists, and business stakeholders to ensure alignment and smooth delivery.
 </li>
 <li>
 Manage and evolve design systems, ensuring consistency, scalability, and accessibility across products.
 </li>
 <li>
 Mentor junior designers and support design quality across the team.
 </li>
 <li>
 Advocate for UX best practices, AI usage and ensure customer-centric thinking across product decisions.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Applied Arts, Fine Arts, Design, or a related field.
 </li>
 <li>
 4+ years of professional experience in UI/UX or Product Design.
 </li>
 <li>
 Strong expertise in UX methodologies, user-centered design, and design thinking.
 </li>
 <li>
 Advanced proficiency in Figma (design systems, auto layout, prototyping).
 </li>
 <li>
 Strong skills in Adobe illustrator; knowledge of other Adobe tools is a plus.
 </li>
 <li>
 Proven experience working with customers and cross-functional stakeholders.
 </li>
 <li>
 Strong portfolio demonstrating UX problem-solving, design rationale, and business outcomes.
 </li>
 <li>
 Good understanding of front-end technologies (HTML, CSS, React) to collaborate effectively with engineering teams.
 </li>
 <li>
 Experience designing AI-powered products or using AI design tools is a strong plus.
 </li>
 </ul>
</div>

Senior UI/UX Designer, AI4ALL

Magnet

<div>
 
 
 Employer Overview
 
 
 
 A technology company founded in 2012 that provides IT consulting services and custom software development through a team of experienced IT professionals. The company delivers innovative digital solutions, including web and application development, enterprise systems, and managed hosting services for clients globally.
 
 
 Its advanced AI-powered platform includes a modern face recognition system built using artificial intelligence and machine learning technologies. The architecture is designed using distributed microservices to ensure high scalability, redundancy, and real-time monitoring capabilities.
 
 
 
 
 
 
 Job Summary
 
 
 
 This role combines Technical Product Management with Hands-on Software Architecture leadership.
 
 
 You will act as the bridge between business vision and technical execution, owning system architecture decisions while ensuring timely and high-quality delivery of complex, AI-driven, cloud-native products.
 
 
 You will lead technical planning, architecture design, sprint execution, and delivery for scalable systems built on .NET, Python, AI (Computer Vision &amp; LLMs), and modern microservice architectures, deployed using Docker Swarm and Kubernetes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Product &amp; Sprint Leadership
 
 
 <ul>
 <li>
 Partner with Product Managers to translate product vision into executable technical roadmaps.
 </li>
 <li>
 Own sprint planning, backlog grooming, and technical task breakdown across teams.
 </li>
 <li>
 Ensure sprint goals are realistic, technically sound, and aligned with delivery timelines.
 </li>
 <li>
 Balance feature delivery, technical debt, scalability, and long-term architecture health.
 </li>
 </ul>
 
 
 
 
 
 Software Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design and govern
 
 microservice-based architectures
 
 using:
 </li>
 <li>
 
 .NET (Web APIs, WPF desktop apps)
 
 </li>
 <li>
 
 Python (AI pipelines, CV &amp; LLM services)
 
 </li>
 <li>
 
 gRPC, REST APIs
 
 </li>
 <li>
 
 RabbitMQ &amp; MQTT for event-driven systems
 
 </li>
 <li>
 Apply
 
 DDD (Domain-Driven Design)
 
 principles for scalable and maintainable systems.
 </li>
 <li>
 Define service boundaries, data ownership, communication patterns, and fault tolerance strategies.
 </li>
 <li>
 Ensure systems are designed for
 
 scalability, observability, resilience, and performance
 
 .
 </li>
 </ul>
 
 
 
 
 
 Cloud, Containers &amp; Orchestration
 
 
 <ul>
 <li>
 Lead architecture decisions for
 
 Docker Swarm and Kubernetes (K8s)
 
 environments.
 </li>
 <li>
 Define deployment strategies, service orchestration, scaling policies, and CI/CD integration.
 </li>
 <li>
 Collaborate with DevOps to ensure secure, stable, and cost-efficient environments.
 </li>
 <li>
 Troubleshoot production issues related to containers, networking, messaging, and orchestration.
 </li>
 </ul>
 
 
 
 
 
 AI, Computer Vision &amp; LLM Enablement
 
 
 <ul>
 <li>
 Guide integration of
 
 AI Computer Vision models and LLM-based services
 
 into production systems.
 </li>
 <li>
 Oversee AI service architecture, inference pipelines, data flow, and performance optimization.
 </li>
 <li>
 Collaborate with AI engineers to ensure models are production-ready and scalable.
 </li>
 <li>
 Stay current with AI trends and recommend practical, business-aligned innovations.
 </li>
 </ul>
 
 
 
 
 
 Frontend &amp; Client Applications
 
 
 <ul>
 <li>
 Oversee architecture and integration of:
 </li>
 <li>
 
 Flutter mobile applications
 
 </li>
 <li>
 
 React &amp; Angular web frontends
 
 </li>
 <li>
 
 WPF desktop applications
 
 </li>
 <li>
 Ensure clean API contracts, performance optimization, and smooth frontend-backend integration.
 </li>
 </ul>
 
 
 
 
 
 Technical Delivery &amp; Quality
 
 
 <ul>
 <li>
 Own end-to-end technical delivery from design to production.
 </li>
 <li>
 Define technical acceptance criteria and ensure compliance before release.
 </li>
 <li>
 Work closely with QA to enforce quality, performance, and security standards.
 </li>
 <li>
 Proactively identify risks, bottlenecks, and architectural weaknesses.
 </li>
 </ul>
 
 
 
 
 
 Technical Proposals &amp; Client Engagement
 
 
 <ul>
 <li>
 Lead creation of
 
 technical proposals
 
 , architecture diagrams, and solution designs.
 </li>
 <li>
 Support sales and business teams with technical input during presales.
 </li>
 <li>
 Present solutions confidently to clients in
 
 clear, professional English
 
 .
 </li>
 <li>
 Deliver demos and technical walkthroughs for complex AI and software platforms.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Communication &amp; Leadership
 
 
 <ul>
 <li>
 Act as the primary technical voice to non-technical stakeholders.
 </li>
 <li>
 Communicate complex technical concepts in simple, business-friendly language.
 </li>
 <li>
 Provide regular updates on delivery progress, architecture decisions, and risks.
 </li>
 <li>
 Mentor senior engineers and tech leads on architecture and best practices.
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement &amp; Engineering Excellence
 
 
 <ul>
 <li>
 Drive improvements in development processes, tooling, and architecture standards.
 </li>
 <li>
 Promote clean code, SOLID principles, observability, and reliability engineering.
 </li>
 <li>
 Encourage innovation, experimentation, and continuous learning across teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or a related field.
 </li>
 <li>
 Strong experience designing scalable distributed systems.
 </li>
 <li>
 Strong stakeholder management
 </li>
 <li>
 Cross-team coordination
 </li>
 <li>
 Ability to balance business priorities with technical excellence
 </li>
 <li>
 NET (ASP.NET Core, Web APIs, WPF)
 </li>
 <li>
 Python (AI services, data pipelines)
 </li>
 <li>
 Microservices Architecture &amp; Domain Driven Design (DDD)
 </li>
 <li>
 Docker Swarm &amp; Kubernetes (K8s)
 </li>
 <li>
 gRPC and REST APIs
 </li>
 <li>
 RabbitMQ &amp; MQTT
 </li>
 <li>
 AI Computer Vision and LLM integration
 </li>
 <li>
 Flutter, React, Angular
 </li>
 <li>
 Excellent English speaking and presentation skills.
 </li>
 <li>
 Ability to design scalable distributed systems.
 </li>
 <li>
 Ability to troubleshoot complex issues across application and infrastructure layers.
 </li>
 <li>
 Ability to ensure high availability and scalable system performance.
 </li>
 <li>
 Ability to coordinate with technical teams and business stakeholders.
 </li>
 </ul>
</div>

Technical Product Manager

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792 ai team lead jobs In Cairo Egypt

AI Team Lead

Principal AI Engineer

Principal AI Engineer

AI Transformation Manager

Manager, AI Services Engineering

Senior UI/UX Designer, AI4ALL

Technical Product Manager