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We are seeking a forward-thinking Senior Manager of Artificial Intelligence who has successfully transitioned beyond traditional machine learning to architect and deploy modern Generative AI and Agentic systems. You will not just be managing models; you will be building autonomous ecosystems. We need a hands-on leader who has a proven track record of taking complex LLM-driven solutions from conceptual wrappers to robust, production-grade agentic workflows that drive measurable enterprise value.What You’ll DoDrive Next-Gen Strategy: Own the enterprise AI roadmap with a heavy emphasis on Generative AI, autonomous agents, and applied Large Language Models.Orchestrate Agentic Ecosystems: Lead the design and deployment of multi-agent systems, orchestrating specialized AI agents (e.g., intelligence routing, operational execution, and system coding tasks) governed by centralized monitoring dashboards.Ship to Production: Guide cross-functional engineering teams to move GenAI proofs-of-concept into reliable, scalable, and secure production environments.Champion LLMOps: Establish the infrastructure required for modern AI, including advanced RAG (Retrieval-Augmented Generation) pipelines, vector databases, and continuous agent evaluation.Ensure AI Governance: Implement strict guardrails for Generative AI, focusing on algorithmic transparency, data privacy, security, and prompt injection mitigation.What You BringBackground: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related highly technical field.Experience: 15+ years in technology or engineering roles, with recent, dedicated leadership experience explicitly focused on deploying Generative AI and Agentic solutions into production.Modern AI Expertise: Deep, practical knowledge of LLM architectures, fine-tuning methodologies, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).Infrastructure Acumen: Strong understanding of the modern AI stack, including vector databases, cloud-native deployments, and LLMOps practices.Leadership: Proven ability to demystify complex GenAI concepts for executive stakeholders, secure buy-in, and mentor high-performing teams of modern AI engineers.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflowsCollaborate with backend engineers and data scientists to integrate AI-driven features into our platformsCollaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricingImprove AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecastsStay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy spaceMonitor the performance of AI tools and models, ensuring they are functioning efficiently and effectivelyRequirementsMinimum 3 years of engineering experienceProven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation and building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonusExperience or strong interest in energy markets and trading strategiesUnderstanding of weather forecasting, energy demand patterns, and production modellingExposure to Natural Language Processing (NLP) or other related fieldsBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees

Experience: 4-5+ YearsEmployment Type: Full-TimeHiring Partner: FlatgigsClient: Confidential AI Research & Innovation LabAbout The OpportunityFlatgigs is hiring AI Engineers for a confidential R&D-focused AI lab working across video, text, and audio problem spaces.This is not a typical "apply a model and ship" role.This is a research-driven environment where problems are not clearly defined, and solutions are not obvious.You will spend time: Exploring Experimenting Failing Iterating And eventually solving problems that don't have playbooks If you need structured tasks and predictable outputs — this role will frustrate you.If you enjoy going deep into problems and figuring things out from first principles — this is where you'll thrive.What You'll Work On Solve complex AI problems across: Video understanding and processing Text-based AI / NLP systems Audio processing (nice to have, not mandatory) Design, experiment, and iterate on AI models and approaches Work on problems that may not have clear starting points or predefined solutions Explore multiple approaches before arriving at optimal solutions Contribute to research-driven experimentation and innovation What We're Looking ForCore Requirement 4-5+ years of experience in AI / Machine Learning This level of experience matters because it typically brings exposure to multiple AI domains, not just one.Multi-Modal Exposure (Important) Experience across at least two of the following areas: Video Text (NLP / LLMs) Audio (bonus) 👉 Candidates limited to only one vertical may struggle in this environment.R&D Experience (Critical) Prior experience working in research or experimentation-heavy environments Exposure to: Prototyping Testing hypotheses Iterative experimentation Experience contributing to: Research initiatives Internal innovation projects Publications (nice to have, not mandatory) Problem-Solving Depth Ability to go beyond "making things work" and instead: Understand why something works or fails Debug deeply at the model or system level Explore multiple approaches before finalizing a solution Ideal Candidate Profile Curious by nature — asks "why" more than "what" Comfortable working in uncertain, ambiguous problem spaces Enjoys experimentation and is not discouraged by failure Thinks in terms of systems, patterns, and root causes Has a tinkerer mindset — explores beyond surface-level fixes What Success Looks Like You are able to approach open-ended problems without predefined solutions You explore multiple directions instead of settling for the first working solution You contribute to building deep understanding, not just outputs You can work across different AI problem types without becoming a bottleneck Nice to Have Research papers, publications, or contributions to open-source AI projects Experience with: Multi-modal models LLMs and advanced NLP Computer vision systems Audio processing systems Why This Role Work on open-ended, high-impact AI problems Opportunity to explore across multiple AI domains Be part of a true R&D environment, not just product delivery Freedom to experiment, fail, and learn Hiring Approach This is an ongoing hiring effort, not tied to a fixed headcount Quality matters more than speed or volume Strong candidates are hired continuously as they are identified Confidentiality NoteThis opportunity is being managed by Flatgigs on behalf of a confidential client. Client details will be shared with shortlisted candidates during the hiring process.

Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception. Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons. With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in. Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment. In the Middle East, Sia provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficient organisation, transformation & change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners’ world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.Why join the Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee WellbeingThese are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.Job DescriptionSia is seeking a motivated and analytical UAE National with a background in Data Science, Artificial Intelligence, or related fields to join our consulting team in the Middle East. This role is ideal for fresh graduates or candidates with up to 1 year of experience who are passionate about leveraging data and AI to solve complex business challenges.You will work closely with senior consultants and clients to support strategy development, data analysis, AI use-case identification, and digital transformation initiatives.Key ResponsibilitiesSupport consulting engagements across strategy, digital transformation, and AI initiativesAnalyze structured and unstructured data to generate actionable insightsAssist in identifying AI and automation opportunities for clientsDevelop dashboards, reports, and presentations for client stakeholdersConduct market research, benchmarking, and industry analysisSupport development of business cases for AI-driven solutionsParticipate in client meetings and workshopsPrepare high-quality presentations and documentationQualificationsUAE National Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Engineering, or related field0–1 year of experience (consulting exposure preferred)Strong analytical and problem-solving skillsBasic understanding of machine learning concepts and data modelingFamiliarity with tools such as Python, SQL, Power BI, Tableau, or similarStrong communication and presentation skills (Arabic & English is a must)High motivation to build a career in management consultingAdditional InformationJoining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care & Support, and Employee Wellbeing, ensuring a fulfilling career path. What a career at Sia offer you? Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers. Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future. Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills. Our Commitment to Diversity At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients’ unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood. To learn more about our mission, values, and business sectors, please visit our website.Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

📌 Location: Dubai, UAE (Primary) | Hybrid flexibility💼 Comp Package: Top-tier tax-free base salary + 50% Target Bonus + Executive Benefits (Schooling, Annual Flights, Relocation, Insurance) Overview: Over the last four years, our client, one of the world's premier multi-brand consumer, retail, and hospitality conglomerates, completely revolutionised its backend data infrastructure. They migrated everything to a world-class, centralised cloud environment, establishing a pristine state-of-the-art enterprise data platform. The engineering foundation is built, the data is clean, and the pipelines are locked down. Now, they need an enterprise value extractor to completely own the front-end of data science, advanced analytics, and consumer intelligence. Operating with a startup/builder mindset backed by massive corporate scale, you'll turn under-utilised, multi-market datasets into direct commercial growth, applied machine learning deployment, and monetizable data products. The Remit:Front-End Value Extraction: You own the ultimate conversion of enterprise data into commercial advantage. This role bridges complex algorithmic modeling and executive strategy, ensuring advanced analytics move past passive dashboards into clear, actionable narratives that inform real leadership decisions. Advanced Data Science & AI Implementation: Machine learning, Generative AI, LLMs, and advanced predictive analytics are core, non-optional requirements. You will embed AI directly into daily business workflows to optimise product, price, promotion, demand forecasting, and personaliaation. True Data Monetization: You'll lead the economic commercialisation of data assets across a massive partner ecosystem and internal Retail Media Network, with clear, multi-million-dollar profit-generation goals. Full Lifecycle Consumer Intelligence: You own marketing, digital, CRM, and loyalty analytics across an expansive omnichannel ecosystem spanning thousands of physical stores, apps, and digital platforms. Team Scaling & Culture: You will champion a community of practice, scaling and mentoring multi-disciplinary, high-performing data science and insights teams across the GCC and international technical hubs. What This Role Is NOT❌ Not an Engineering Role: You are not responsible for building data pipelines, cloud architecture, BI platform maintenance, or heavy governance infrastructure. A dedicated backend Data Engineering Director owns that piece. You are a strategic consumer of the platform. ❌ Not a Reporting Factory: If your focus is building static reports or passive KPIs, this isn’t the right fit. This is a value, insight, and decision leadership mandate. Who You AreThe Rigorous Practitioner: You have a Master’s degree in Data Science, Computer Science, or a deeply technical discipline, backed by 15+ years of experience across data science, customer analytics, or advanced consumer modeling. Deep Technical DNA: You bring hands-on fluency in Python/R, SQL, ML frameworks (TensorFlow, PyTorch, XGBoost), recommendation systems, causal inference, and industrialising LLMs or NLP-driven automation. Consumer-Centric Leader: You have a proven track record operating at an executive level within complex, multi-brand B2C environments (e.g., pure-play online tech giants, e-commerce marketplaces, digital consumer apps, or massive omnichannel retail/hospitality groups). The Storyteller: You possess the unique ability to translate highly technical data modeling and algorithmic outputs into clear, commercially compelling narratives for C-suite stakeholders. The Builder Mindset: You excel in navigating ambiguity, setting a technical vision from scratch, and fostering high ownership and accountability. If you are a builder who thrives on turning raw algorithmic capability into direct commercial impact, we want to hear from you. 📩 Apply directly via LinkedIn with a copy of your up-to-date CV.At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at www.quotacom.com/privacy-notice/

Shape the future of AI on a global scale with a market leader! A globally recognized industrial technology organisation is seeking an exceptional AI leader to define and execute its enterprise-wide artificial intelligence strategy.This is a rare opportunity to build and lead a newly established Global AI Hub, influencing the future direction of a multinational business that is investing heavily in digital transformation, intelligent products, and AI-enabled services.Reporting to executive leadership, you will be responsible for embedding AI across products, operations, customer solutions, and business functions, creating measurable commercial impact and long-term competitive advantage.The OpportunityDefine and execute the organization's global AI vision, strategy and operating model.Build and lead a world-class Global AI Hub, establishing the capabilities, governance and delivery frameworks required for enterprise-scale success.Identify high-value AI opportunities across products, services, manufacturing, operations and customer-facing solutions.Lead the development and commercialization of AI-enabled products and digital services from concept through to market launch.Drive AI adoption across global business units, regional organizations and functional teams.Establish robust governance covering AI ethics, data management, cybersecurity, regulatory compliance and responsible AI practices.Develop strategic partnerships with leading technology providers, universities, research institutions and AI ecosystem partners.Inspire cross-functional teams to accelerate innovation and deliver measurable business outcomes.About You8+ years' experience leading AI, digital transformation, technology or innovation functions within complex global organisations.A proven track record of building AI, data science or digital innovation teams from the ground up.Experience delivering technology-led products, platforms or digital services that generate measurable business value.Strong knowledge of modern AI and data ecosystems, including cloud platforms, MLOps, data engineering and technologies such as Databricks, Kafka or comparable enterprise platforms.Deep understanding of artificial intelligence, Generative AI, machine learning and customer-centric digital product development.Exceptional stakeholder management skills, with the ability to influence executive leadership, business units, engineering teams and external partners.Experience leading geographically distributed, cross-functional teams in international environments.A strategic mindset balanced with the ability to execute and deliver tangible results.Ideal BackgroundWe are particularly interested in leaders from sectors such as:Industrial TechnologySmart ManufacturingIndustrial IoTBuilding TechnologiesWater Infrastructure & UtilitiesCritical InfrastructureDigital PlatformsAI-enabled Software & TechnologyExperience within engineering-led or industrial organizations would be highly advantageous, although exceptional candidates from adjacent technology sectors will also be considered.Why This Role?This is more than a leadership position, it is an opportunity to define how AI shapes the future of a global organisation.You will have executive sponsorship, significant investment, and the autonomy to build a best-in-class AI function that delivers real commercial impact across international markets.If you are excited by the opportunity to build, lead and scale enterprise AI on a global stage, we would welcome a confidential discussion.