solutions architect

Sprinklr

<div>
 Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale &mdash; across every customer touchpoint.
 
 
 By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr&rsquo;s unified platform provides powerful solutions for every customer-facing team &mdash; spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management &mdash; enabling enterprises to unify data, break down silos, and act on real-time insights.
 
 
 Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.
 
 
 
 Job Description
 
 
 
 
 Lead Solutions Architect &ndash; Platform, Data &amp; AI
 
 
 
 Sprinklr seeks a Lead Solutions Architect &ndash; Platform, Data, AI &amp; Integrations to partner with sales, product, and customer success to drive revenue by architecting, demonstrating, and operationalizing Sprinklr&rsquo;s Unified-CXM platform across enterprise technology, customer data, knowledge, and AI ecosystems.
 
 
 Solution Architects at Sprinklr combine deep technical expertise with strategic business consulting to uncover customer needs and position Sprinklr&rsquo;s platform, integration, customer data, knowledge, and AI capabilities. They provide trusted advisory guidance and rapidly map customer architectures across enterprise systems, customer data layers, knowledge frameworks, governance models, and emerging agentic AI ecosystems.
 
 
 This role focuses on Sprinklr&rsquo;s platform integration layer, customer data architecture, knowledge and experience design, enterprise AI/ML alignment, and agentic orchestration capabilities &mdash; including connector ecosystems, native import/export workflows, open APIs, unified customer intelligence, knowledge activation, automation, and intelligent autonomous workflows.
 
 
 
 What You'll Do
 
 
 
 
 Platform, Integration &amp; Customer Data Architecture
 
 
 
 <ul>
 <li>
 Architect end-to-end platform, customer data, knowledge, and integration solutions leveraging Sprinklr&rsquo;s connector ecosystem, unified customer intelligence frameworks, native import/export capabilities, knowledge systems, and REST API ecosystem.
 </li>
 <li>
 Design enterprise customer data architectures including customer identity resolution, profile unification, source-agnostic ingestion, structured/unstructured data harmonization, segmentation frameworks, consent and governance layers, customer memory, and omnichannel data continuity.
 </li>
 <li>
 Develop customer knowledge and experience architectures that activate operational, behavioral, conversational, and contextual customer intelligence across AI, service, marketing, and customer engagement workflows.
 </li>
 <li>
 Present enterprise architecture blueprints for common patterns &mdash; including CRM lifecycle integration, CDP synchronization, DAM connectivity, customer knowledge activation, omnichannel handover, case and interaction history continuity, reporting/analytics extraction, and platform extensibility.
 
 
 </li>
 </ul>
 
 AI, Agentic &amp; Knowledge Leadership
 
 
 
 <ul>
 <li>
 Lead AI, knowledge, and agentic solution design by mapping customer ecosystems to Sprinklr AI+, conversational AI, LLM ecosystems, enterprise search, RAG frameworks, NLP engines, memory architectures, and autonomous workflow orchestration.
 </li>
 <li>
 Define architectures for agentic enterprise use cases such as AI copilots, autonomous customer service agents, knowledge assistants, intelligent routing, AI-driven workflow execution, retrieval-augmented generation (RAG), customer memory systems, and real-time decision intelligence.
 </li>
 <li>
 Design knowledge governance frameworks including content ingestion, semantic search, taxonomy design, vectorization strategies, metadata structures, knowledge lifecycle management, and enterprise-safe AI deployment.
 </li>
 <li>
 Advise on AI + customer data governance including guardrails, hallucination mitigation, memory controls, observability, consent frameworks, model governance, and human-in-the-loop safety.
 
 
 </li>
 </ul>
 
 Presales Discovery, Consulting &amp; Transformation
 
 
 
 <ul>
 <li>
 Lead strategic discovery workshops to assess customer technology stacks, customer data maturity, AI readiness, and enterprise transformation opportunities across CRM, CDP, ERP, martech, DAM, analytics, cloud, compliance, and AI ecosystems.
 </li>
 <li>
 Map customer current-state ecosystems into Sprinklr&rsquo;s unified platform, customer data, knowledge, and AI architecture while producing fit-gap analyses, phased transformation strategies, and extensibility roadmaps.
 </li>
 <li>
 Develop and deliver compelling technical demonstrations, AI showcases, and Proofs of Concept (POCs)highlighting customer data activation, bi-directional integration, knowledge orchestration, API-led extensibility, agentic AI, and unified customer experiences.
 </li>
 <li>
 Translate fragmented architectures into strategic business outcomes by identifying operational inefficiencies, customer experience gaps, AI opportunities, and transformation priorities.
 
 
 </li>
 </ul>
 
 Strategic Advisory &amp; Thought Leadership
 
 
 
 <ul>
 <li>
 Provide strategic guidance on enterprise architecture spanning authentication, customer identity, data governance, transformation pipelines, compliance, observability, rate management, knowledge governance, and AI safety.
 </li>
 <li>
 Collaborate across Sprinklr&rsquo;s product, platform, AI, architecture, and sales ecosystem to validate designs against current capabilities and future roadmap priorities.
 </li>
 <li>
 Support RFPs, executive presentations, and technical strategy related to platform design, customer data architecture, AI transformation, knowledge governance, security, and compliance.
 </li>
 <li>
 Serve as a subject matter expert on Sprinklr&rsquo;s platform + customer data + knowledge + AI + integration taxonomy, clearly articulating the value of unified architectures over fragmented ecosystems.
 </li>
 <li>
 Act as a trusted technical advisor to CIOs, Chief Digital Officers, Chief Data Officers, enterprise architects, AI leaders, and transformation teams by translating complex technical ecosystems into measurable business value.
 
 
 </li>
 </ul>
 
 Travel
 
 
 
 <ul>
 <li>
 Travel up to 40% for customer engagements, strategic workshops, partner enablement, executive advisory sessions, and industry events.
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 
 Who You Are &amp; What Makes You Qualified
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Engineering, or related field; Master&rsquo;s degree preferred.
 </li>
 <li>
 7+ years of experience in enterprise platform architecture spanning integrations, customer data, AI, knowledge systems, or cloud ecosystems.
 </li>
 <li>
 5+ years of experience architecting and demonstrating enterprise solutions in presales, solutions engineering, technical consulting, or transformation leadership roles with measurable revenue impact
 
 
 </li>
 </ul>
 
 Platform, Integration &amp; Technical Depth
 
 
 
 <ul>
 <li>
 Deep expertise in enterprise integration patterns including REST/GraphQL APIs, webhook orchestration, event-driven architecture, ETL/ELT pipelines, source-agnostic ingestion, identity systems, API gateways, and bi-directional SaaS connectivity.
 </li>
 <li>
 Hands-on experience with enterprise SaaS ecosystems including CRM, CDP, DAM, workforce management, analytics, martech, customer feedback, and operational systems.
 </li>
 <li>
 Strong proficiency with integration tooling and standards including OAuth 2.0, SAML/SSO, JSON/XML, iPaaS platforms, middleware, cloud integration ecosystems, and governance frameworks.
 </li>
 <li>
 Customer Data Architecture &amp; Knowledge Systems
 </li>
 <li>
 Deep expertise in customer data architecture and enterprise knowledge design, including customer identity resolution, profile unification, master data alignment, metadata strategy, taxonomy design, knowledge graphs, and structured/unstructured data harmonization across CX, CRM, CDP, and service ecosystems.
 </li>
 <li>
 Proven experience architecting customer knowledge and experience frameworks that unify operational, behavioral, conversational, and contextual data to power personalized journeys, AI copilots, agentic workflows, retrieval-augmented generation (RAG), and enterprise search.
 </li>
 <li>
 Strong understanding of customer experience data models including journey orchestration, interaction history, case lifecycle, segmentation, consent, privacy, customer memory, and omnichannel continuity.
 </li>
 <li>
 Hands-on experience designing enterprise knowledge architectures supporting content governance, ingestion pipelines, semantic search, vectorization strategies, metadata frameworks, knowledge lifecycle management, and real-time decision intelligence.
 </li>
 <li>
 Ability to transform fragmented ecosystems into a unified customer data + knowledge + experience architecturethat improves customer outcomes, AI accuracy, operational efficiency, and platform scalability.
 
 
 </li>
 </ul>
 
 AI, Agentic &amp; Data Intelligence
 
 
 
 <ul>
 <li>
 Strong knowledge of AI/ML, Generative AI, and agentic architectures including LLMs, NLP, RAG, enterprise search, vector systems, orchestration frameworks, memory systems, autonomous agents, and intelligent workflow automation.
 </li>
 <li>
 Experience designing agentic systems with governance, observability, trust layers, guardrails, lifecycle management, and enterprise-safe deployment strategies.
 </li>
 <li>
 Familiarity with cloud data ecosystems such as Snowflake, Databricks, AWS, Azure, GCP, or equivalent enterprise data intelligence platforms.
 
 
 </li>
 </ul>
 
 Business Consulting &amp; Leadership
 
 
 
 <ul>
 <li>
 Strong capability to perform deep discovery across customer architecture, customer data maturity, AI readiness, and operational transformation needs while aligning phased adoption strategies.
 </li>
 <li>
 Excellent communication skills with the ability to influence enterprise architects, CIOs, CDOs, IT decision-makers, and C-suite executives by translating platform, data, AI, and customer experience architectures into business outcomes.
 </li>
 <li>
 Experience contributing to thought leadership, sales enablement, partner ecosystem growth, strategic transformation, and innovation programs.
 
 
 </li>
 </ul>
 
 Governance, Privacy &amp; Security
 
 
 
 <ul>
 <li>
 Strong knowledge of security, privacy, compliance, and responsible AI frameworks including SOC 2, GDPR, CCPA, customer consent frameworks, governance-by-design, and enterprise-safe customer data activation.
 
 
 </li>
 </ul>
 
 Ideal Differentiators
 
 
 
 <ul>
 <li>
 Experience with conversational AI, autonomous enterprise agents, customer memory systems, or enterprise AI transformation.
 </li>
 <li>
 Familiarity with CCaaS, CXM, customer service transformation, and unified customer engagement ecosystems.
 </li>
 <li>
 Ability to position Sprinklr as more than a platform &mdash; as a Unified Customer Experience, Customer Data, Knowledge, and Agentic AI Transformation Architecture.
 </li>
 <li>
 Passion for shaping the future of enterprise customer engagement through platform unification, customer intelligence, and autonomous AI innovation.
 
 
 </li>
 </ul>
 
 We focus on our mission
 
 : Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data &mdash; helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:
 
 
 <ul>
 <li>
 Lead a new category of enterprise software that we call Unified-CXM.
 </li>
 <li>
 Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
 </li>
 <li>
 Create a culture of customer obsession, with trust, teamwork, and accountability.
 
 
 </li>
 </ul>
 
 We believe in our product
 
 : Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything &mdash; and everyone &mdash; can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world&rsquo;s leading enterprise brands.
 
 
 
 We invest in our people
 
 : We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off &ndash; it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.
 
 
 To learn more about employee benefits by region, click here.
 
 
 To learn more about all-things-Sprinklr, visit our candidate resource hub here.
 
 
 
 EEO - Our philosophy
 
 : Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we&rsquo;re more innovative, creative, and successful.
 
 
 Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.
 
 
 Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.
 
 
 
 Warning about Recruiting Scams:
 
 Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.
 
 
 If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.
</div>

Lead Solutions Architect

NVIDIA

<div>
 NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!
 
 
 We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.
 </li>
 <li>
 Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.
 </li>
 <li>
 Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
 </li>
 <li>
 Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.
 </li>
 <li>
 Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.
 </li>
 <li>
 Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.
 </li>
 <li>
 NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.
 </li>
 <li>
 Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.
 </li>
 <li>
 Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.
 </li>
 <li>
 System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).
 </li>
 <li>
 Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.
 </li>
 <li>
 Travel: Willingness to travel up to 25% for customer engagements.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.
 </li>
 <li>
 Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.
 </li>
 <li>
 Experience with multi-tenant GPU cluster management and workload scheduling frameworks.
 </li>
 <li>
 Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.
 </li>
 <li>
 Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.
 
 
 </li>
 </ul>
 , , JR2019277
 
 
</div>

Senior Solutions Architect, Customer Success

Eaton

<div>
 Join Our Team at Eaton: Empowering Tomorrow, Today!
 
 
 Dubai serves as a strategic hub for Eaton&rsquo;s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long‑term investment in growth, collaboration, and capability building.
 
 
 
 About Us
 
 
 
 Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.
 
 
 
 Primary Function Description
 
 
 
 Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
 
 
 As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
 
 
 Within this segment, Eaton has an opening for a
 
 Data Center Solutions Architect Engineer &ndash; Grey Space.
 
 This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
 
 
 
 Essential Functions &amp; Dimensions
 
 
 
 
 Customer Solutions &amp; Concept Design
 
 
 
 <ul>
 <li>
 Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
 </li>
 <li>
 Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
 </li>
 <li>
 Develop conceptual and system level solutions covering grey space environments.
 </li>
 <li>
 Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
 </li>
 <li>
 Support technical discussions during pre-sales, design development, and early project phases.
 
 
 
 </li>
 </ul>
 
 System Architecture &amp; Engineering Expertise
 
 
 
 <ul>
 <li>
 Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
 </li>
 <li>
 Ensure alignment between white space power requirements and upstream grey space infrastructure.
 </li>
 <li>
 Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
 </li>
 <li>
 Provide technical recommendations to optimize footprint, power coordination, and system integration.
 
 
 
 </li>
 </ul>
 
 Cross Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
 </li>
 <li>
 Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
 </li>
 <li>
 Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
 
 
 
 </li>
 </ul>
 
 Standards, Compliance &amp; Innovation
 
 
 
 <ul>
 <li>
 Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
 </li>
 <li>
 Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
 
 
 
 </li>
 </ul>
 
 Project &amp; Lifecycle Support
 
 
 
 <ul>
 <li>
 Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
 </li>
 <li>
 Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
 </li>
 <li>
 Assist field engineers during commissioning and startup activities when needed.
 
 
 
 </li>
 </ul>
 
 Position Criteria
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering from an accredited institution.
 </li>
 <li>
 Minimum 3 years of work experience with data center electrical systems, covering grey space environments.
 </li>
 <li>
 Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
 </li>
 <li>
 Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
 </li>
 <li>
 Ability to lead technical discussions and conceptual design workshops with customers.
 </li>
 <li>
 Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
 </li>
 <li>
 Strong analytical, problem solving, and communication skills.
 </li>
 <li>
 Customer focused mindset with the ability to act as a trusted technical advisor.
 
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 <ul>
 <li>
 Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry
 </li>
 <li>
 Annual mentoring program, Eaton University, a reward, and recognition system
 </li>
 <li>
 Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide
 </li>
 <li>
 Strong, agile and diverse team locally and globally
 </li>
 <li>
 Strong processes and state-of-the-art systems and tools
 </li>
 <li>
 Detailed induction support and well-structured onboarding
 </li>
 <li>
 Balance your work and life with a hybrid worktime model
 
 
 
 </li>
 </ul>
 
 Living and Working in Dubai
 
 
 
 Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.
 
 
 At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.
 
 
 
 Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!
 
</div>

Data Center Solutions Architect Engineer - Grey Space

<div>
 
 Primary Function Description
 
 
 
 Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
 
 
 As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
 
 
 Within this segment, Eaton has an opening for a
 
 Data Center Solutions Architect Engineer &ndash; White Space
 
 . This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
 
 
 
 Essential Functions &amp; Dimensions
 
 
 
 
 Customer Solutions &amp; Concept Design
 
 
 
 <ul>
 <li>
 Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
 </li>
 <li>
 Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
 </li>
 <li>
 Develop conceptual and system level solutions covering white space environments.
 </li>
 <li>
 Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
 </li>
 <li>
 Support technical discussions during pre-sales, design development, and early project phases.
 
 
 
 </li>
 </ul>
 
 System Architecture &amp; Engineering Expertise
 
 
 
 <ul>
 <li>
 Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
 </li>
 <li>
 Ensure alignment between white space power requirements and upstream grey space infrastructure.
 </li>
 <li>
 Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
 </li>
 <li>
 Provide technical recommendations to optimize footprint, power coordination, and system integration.
 
 
 
 </li>
 </ul>
 
 Cross Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
 </li>
 <li>
 Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
 </li>
 <li>
 Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
 
 
 
 </li>
 </ul>
 
 Standards, Compliance &amp; Innovation
 
 
 
 <ul>
 <li>
 Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
 </li>
 <li>
 Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
 
 
 
 </li>
 </ul>
 
 Project &amp; Lifecycle Support
 
 
 
 <ul>
 <li>
 Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
 </li>
 <li>
 Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
 </li>
 <li>
 Assist field engineers during commissioning and startup activities when needed.
 
 
 
 </li>
 </ul>
 POSITION CRITERIA::
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering from an accredited institution.
 </li>
 <li>
 Minimum 3 years of work experience with data center electrical systems, covering white space environments.
 </li>
 <li>
 Proficiency in English; additional languages (e.g., Arabic) are a plus.
 </li>
 <li>
 Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
 </li>
 <li>
 Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
 </li>
 <li>
 Ability to lead technical discussions and conceptual design workshops with customers.
 </li>
 <li>
 Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
 </li>
 <li>
 Strong analytical, problem solving, and communication skills.
 </li>
 <li>
 Customer focused mindset with the ability to act as a trusted technical advisor.
 
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 <ul>
 <li>
 Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry
 </li>
 <li>
 Annual mentoring program, Eaton University, a reward, and recognition system
 </li>
 <li>
 Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide
 </li>
 <li>
 Strong, agile and diverse team locally and globally
 </li>
 <li>
 Strong processes and state-of-the-art systems and tools
 </li>
 <li>
 Detailed induction support and well-structured onboarding
 </li>
 <li>
 Balance your work and life with a hybrid worktime model
 
 
 
 </li>
 </ul>
 
 Living and Working in Dubai
 
 
 
 Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.
 
 
 At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.
 
 
 
 Ready to make a difference? Join Eaton&rsquo;s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!
 
</div>

Data Center Solutions Architect Engineer - White Space

ByteDance

Location
 :
 
Dubai
 
Team
 :
 
Advertising & Sales
 
Employment Type
 :
 
Regular
 
Job Code
 :
 
A214078
 
Responsibilities
 
Join the Innovative BytePlus Team
 This is a once in a lifetime opportunity to join the world's fastest growing startup as well as the biggest unicorn by valuation. With ByteDance's vision to build global platforms of creation and interaction, BytePlus is devoted to developing innovative technologies and products for businesses to fuel their next wave of growth. It is the best time to join us and pave into the new era together!
 
Responsibilities
 <ul>
<li>Strategic Sales Partnership: Partner with regional Sales teams to identify, qualify, and shape Video, Image, and Multimodal GenAI (AIGC) opportunities, translating creative and business requirements into scalable solutions for stakeholders from C-level to engineering teams.</li>
<li>Multimodal Solution Delivery: Design and deliver AIGC solutions including text/image/video generation with brand consistency, Vision-Language Model (VLM) workflows for semantic analysis, and advanced prompt engineering or chaining.</li>
<li>Production Pipeline Architecture: Architect production-grade GenAI pipelines utilizing diffusion models, VLMs, and LoRA/adapter-based fine-tuning while using orchestration frameworks like ComfyUI and custom orchestrators.</li>
<li>Agentic Workflow Design: Develop agentic AIGC workflows where autonomous agents interpret intent, invoke generation analysis, and coordinate multi-stage tasks including retries and human-in-the-loop approvals.</li>
<li>Technical Advisory & Governance: Act as a trusted advisor on model selection trade-offs, cost and latency optimization, and critical governance topics such as IP protection, content safety, and watermarking.</li>
<li>Innovation & Lifecycle Ownership: Own AIGC POCs to ensure measurable outcomes, translate customer feedback into platform requirements to influence product roadmaps, and support post-sales success to drive upsell of advanced capabilities.</li>
</ul>
Qualifications
 
Minimum Qualifications
 <ul>
<li>Bachelor’s degree or equivalent practical experience with 5+ years in a Solutions Architect, Pre-Sales Engineer, or similar customer-facing technical role.</li>
<li>Hands-on experience delivering image, video, or multimodal GenAI systems within real-world or production environments.</li>
<li>Strong background in cloud platforms, GPU workloads, and distributed systems.</li>
<li>Proven experience supporting enterprise customers across the Middle East and Africa (MEA) and United States (US) regions.</li>
<li>Comfortable operating in fast-moving, ambiguous environments with rapidly evolving GenAI technologies.</li>
<li>Strong technical and business judgment skills.</li>
<li>Turkish Language Proficiency: Turkish business proficiency is required. Turkish is required for managing stakeholders and business growth in the Turkish market and effective communication with clients and partners across Turkey.</li>
</ul>
Preferred Qualifications
 <ul>
<li>Computer Science or Engineering degree with deep expertise in Diffusion models, VLMs, and prompt engineering/chaining.</li>
<li>Practical experience building agentic GenAI workflows using orchestration platforms like n8n, including tool-calling, function execution, and stateful workflows.</li>
<li>Experience in multi-stage creative workflows, GPU inference optimization, and managing quality/latency/cost trade-offs.</li>
<li>Prior experience working with customers in Media, Entertainment, Advertising, Gaming, Ecommerce, and social platforms.</li>
<li>Background in solution architecture for AIGC platforms, VLM-driven systems, or AI infrastructure platforms.</li>
<li>Strong understanding of Public Cloud services, including GPU compute, edge delivery (CDN), and security for media pipelines.</li>
</ul>
Job Information
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
​
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
​
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
Diversity & Inclusion
 
​
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

GenAI Solution Architect - BytePlus - Turkey Market (Turkish Speaking)

Confidential

OverviewThe IT Solution Architect will play a critical role in the design, implementation, deployment, and adoption of IT solutions across the organization. This role will be responsible for ensuring that solutions are scalable, secure, and aligned with business needs. You will work closely with various stakeholders and vendors to ensure that the solutions meet current requirements and are future-ready. Key Responsibilities1. Project Coordination:<ul><li>Plan, consult, and coordinate projects related to application design, development, and implementation.</li><li>Collaborate with cross-functional teams to ensure timely and successful project delivery.</li><li>Oversee the alignment of project goals with business requirements, ensuring seamless integration and functionality.</li></ul>2. Application Management:<ul><li>Maintain, customize, and enhance business applications based on user requirements.</li><li>Collaborate with end-users to understand their needs and ensure the solution is tailored accordingly.</li><li>Perform application upgrades, patches, and configuration changes as necessary to improve system performance.</li></ul>3. Solution Architecture Design:<ul><li>Define and document the overall solution architecture, ensuring alignment with business objectives.</li><li>Work closely with stakeholders to understand business needs and design technical solutions that address these requirements.</li><li>Evaluate and select appropriate technologies, platforms, and tools for the solution.</li></ul>4. Architectural Standards and Best Practices:<ul><li>Develop and maintain architectural standards, guidelines, and best practices to ensure consistency across projects.</li><li>Ensure solutions meet performance, scalability, and security requirements to support the organization's goals.</li><li>Continuously review and improve architectural standards in line with emerging trends and technologies.</li></ul>5. Technical Leadership and Support:<ul><li>Provide technical guidance and direction to development teams, ensuring that solutions are implemented as designed.</li><li>Identify and mitigate potential risks and issues related to the architecture and solution delivery.</li><li>Participate in post-implementation reviews to assess the solution’s performance and suggest improvements.</li></ul>   6. Continuous Improvement:<ul><li>Actively contribute to the continuous improvement of existing solutions, ensuring they remain efficient and relevant.</li><li>Stay informed of the latest developments in technologies and frameworks to recommend upgrades or changes to enhance system performance.</li></ul>Qualifications:<ul><li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>Certifications: Relevant certifications in D365 F&amp;O, CRM, and other relevant streams like Azure or AWS platforms.</li><li>Experience: Minimum of 10 years of experience in application management, systems engineering, or software development, with significant experience in solution architecture.</li><li>Skills and Competencies:<ul><li>Strong problem-solving skills and analytical thinking.</li><li>Expertise in databases and SQL.</li><li>Solid knowledge of enterprise systems like MS D365 CRM, F&amp;O, Business Central.</li><li>Strong understanding of cloud computing concepts and architecture (Azure or AWS).</li><li>Excellent communication skills to articulate technical solutions to both technical and non-technical stakeholders.</li></ul></li></ul>Reporting Line: You will report to the Senior Manager - Group IT Applications.

IT Solution Architect

Genesys

<div>
 
 Be the one building AI-powered experiences where they matter most.
 
 
 
 At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
 
 
 Help build, support and operate technology used by more than 8,000 organizations in over 100 countries &ndash; moving AI from possibility to production in real-world enterprise environments every day.
 
 
 The
 
 Genesys AI Architect
 
 is a senior presales AI specialist who operates across three core motions:
 
 
 <ul>
 <li>
 Driving strategic AI opportunities with customers and sales teams
 </li>
 <li>
 Scaling the field through reusable assets, technical enablement, and coaching
 </li>
 <li>
 Shaping product and go-to-market direction through real-world customer and field feedback
 
 
 </li>
 </ul>
 This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
 </li>
 <li>
 Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
 </li>
 <li>
 Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
 </li>
 <li>
 Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
 </li>
 <li>
 Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.
 </li>
 <li>
 Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
 </li>
 <li>
 Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
 </li>
 <li>
 Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.
 </li>
 <li>
 Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.
 </li>
 <li>
 Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.
 </li>
 <li>
 Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
 </li>
 <li>
 Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.
 </li>
 <li>
 Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization&rsquo;s broader IT and transformation strategy.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 AI Architecture &amp; Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.
 </li>
 <li>
 Enterprise Integration &amp; Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.
 </li>
 <li>
 Evaluation, Governance &amp; Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
 </li>
 <li>
 Executive Communication &amp; Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.
 </li>
 <li>
 Prompt Design &amp; AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.
 </li>
 <li>
 Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.
 </li>
 <li>
 Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.
 </li>
 <li>
 Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.
 </li>
 <li>
 Executive Presence: Proven ability to influence CIO/CTO decision-makers.
 </li>
 <li>
 Strong understanding of the Genesys Cloud platform and Genesys AI preferred.
 </li>
 <li>
 Foundational understanding of programming concepts (Python preferred).
 </li>
 <li>
 Fluency in English and Arabic languages.
 </li>
 <li>
 French language fluency as a plus.
 
 
 </li>
 </ul>
 
 Working at Genesys
 
 
 
 <ul>
 <li>
 AI at enterprise scale &ndash; Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
 </li>
 <li>
 A flexible-first culture &ndash; Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
 </li>
 <li>
 Growth in the AI era &ndash; Build future-ready skills through mentorship, learning programs, leadership development and education support
 </li>
 <li>
 Time to recharge and give back &ndash; Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
 </li>
 <li>
 Recognized globally &ndash; Genesys is Great Place to Work&reg; certified in 17 countries and 94% of employees are proud to tell others they work at Genesys
 
 
 </li>
 </ul>
 Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
 
 
 
 What Happens After You Apply
 
 
 
 After you apply, here's what you can typically expect:
 
 
 <ul>
 <li>
 Our Talent Acquisition team reviews your application with the hiring team
 </li>
 <li>
 A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
 </li>
 <li>
 Next, you'll meet the hiring manager and other members of the interview team
 </li>
 <li>
 We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases
 </li>
 <li>
 After interviews are complete, our team will follow up with the final steps
 
 
 </li>
 </ul>
 Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
 
 
 
 Stay Connected
 
 
 
 Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
 
 
 Get notified about relevant opportunities.
 
 
 
 Be the one building what's next - where AI, experience and impact come together.
 
 
 
 
 Employee Referral
 
 
 
 If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
 
 
 
 About Genesys:
 
 
 
 Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
 
 
 
 Reasonable Accommodations:
 
 
 
 If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
 
 
 You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
 
 
 This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.
 
 
 
 Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
 
 
 
 
 Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
 
 
 
</div>

AI Solution Architect EMEA

Explore 454+ Solutions architect in Dubai this July. Find roles across top companies and apply now to boost your career.