it support engineer

applied ai engineer

associate production engineer Jobs in Dubai

associate production engineer

infrastructure engineer

sales engineer

ai solutions architect

ByteDance

<div>
 
 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
 
 - 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.
 
 - 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.
 
 - 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.
 
 - 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.
 
 - Technical Advisory &amp; 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.
 
 - Innovation &amp; 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.
 
 
 
 Qualifications
 
 
 Minimum Qualifications
 
 - Bachelor&rsquo;s degree or equivalent practical experience with 5+ years in a Solutions Architect, Pre-Sales Engineer, or similar customer-facing technical role.
 
 - Hands-on experience delivering image, video, or multimodal GenAI systems within real-world or production environments.
 
 - Strong background in cloud platforms, GPU workloads, and distributed systems.
 
 - Proven experience supporting enterprise customers across the Middle East and Africa (MEA) and United States (US) regions.
 
 - Comfortable operating in fast-moving, ambiguous environments with rapidly evolving GenAI technologies.
 
 - Strong technical and business judgment skills.
 
 
 Preferred Qualifications
 
 - Computer Science or Engineering degree with deep expertise in Diffusion models, VLMs, and prompt engineering/chaining.
 
 - Practical experience building agentic GenAI workflows using orchestration platforms like n8n, including tool-calling, function execution, and stateful workflows.
 
 - Experience in multi-stage creative workflows, GPU inference optimization, and managing quality/latency/cost trade-offs.
 
 - Prior experience working with customers in Media, Entertainment, Advertising, Gaming, Ecommerce, and social platforms.
 
 - Background in solution architecture for AIGC platforms, VLM-driven systems, or AI infrastructure platforms.
 
 - Strong understanding of Public Cloud services, including GPU compute, edge delivery (CDN), and security for media pipelines.
 
 
 
 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.&ZeroWidthSpace;
 
 
 
 
 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 &ndash; 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.&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
</div>

GenAI Solution Architect - Video, Image & Multimodal GenaAI (AIGC) - Dubai

Boundless

<div>
 
 
 Company Overview
 
 
 
 Our client, a global and rapidly growing financial services group, operates across international markets through a technology-driven, regulated business model. The organisation is investing significantly in Artificial Intelligence, advanced analytics, intelligent automation, and next-generation software engineering capabilities to enhance its platforms, products, internal operations, and customer experience.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineering Lead to establish and drive the organisation&rsquo;s LLM Engineering capability and accelerate AI-powered software development across multiple technology teams. This role will define the standards, architecture, tooling, governance, and development practices required to build secure, scalable, production-ready AI solutions. You will guide engineering teams in adopting modern AI-assisted development workflows, leveraging frontier LLMs, agentic architectures, enterprise RAG systems, and intelligent automation platforms.
 
 
 Working closely with Engineering Managers, Solution Architects, Product Owners, and senior leadership, you will ensure that AI becomes an embedded part of the software development lifecycle. The role combines hands-on technical leadership, architecture oversight, team enablement, and enterprise-wide AI transformation.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI Engineering Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of enterprise-grade LLM applications, AI agents, intelligent automation solutions, and AI-native software products.
 </li>
 <li>
 Guide and mentor engineering teams on AI architecture, prompting strategy, agent design, model selection, code quality, and production deployment.
 </li>
 <li>
 Conduct AI solution design and technical architecture reviews before development begins.
 </li>
 <li>
 Establish engineering standards for secure, scalable, maintainable, and measurable AI implementations.
 </li>
 <li>
 Support teams in adopting AI-first development methodologies while maintaining strong software engineering quality, security, and delivery discipline.
 </li>
 </ul>
 
 
 AI-Assisted Software Engineering
 
 
 <ul>
 <li>
 Champion the use of AI coding and development environments including Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and emerging AI engineering tools.
 </li>
 <li>
 Define enterprise standards for AI-assisted software engineering, developer prompting, code generation, review workflows, and responsible use of AI development tools.
 </li>
 <li>
 Develop reusable prompt libraries, engineering playbooks, technical documentation, and best-practice frameworks.
 </li>
 <li>
 Introduce practical AI-assisted development workflows that improve engineering productivity, code quality, testing, documentation, and delivery speed.
 </li>
 <li>
 Establish methods to measure and improve developer productivity through AI-enabled engineering practices.
 </li>
 </ul>
 
 
 LLM Engineering &amp; Agentic Systems
 
 
 <ul>
 <li>
 Design and optimise production-grade LLM applications using leading models including Claude, OpenAI, Gemini, Mistral, Llama, DeepSeek, and other suitable providers.
 </li>
 <li>
 Build AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, and LlamaIndex.
 </li>
 <li>
 Design and implement enterprise RAG systems using vector databases, knowledge graphs, structured data sources, and internal documentation repositories.
 </li>
 <li>
 Develop scalable MCP servers, tool integrations, API connectors, and secure AI access layers for enterprise systems.
 </li>
 <li>
 Evaluate new LLMs, frameworks, AI platforms, and engineering tools, making recommendations for adoption based on technical fit, security, cost, performance, and business value.
 </li>
 </ul>
 
 
 AI Platform, Architecture &amp; Governance
 
 
 <ul>
 <li>
 Define enterprise AI architecture standards, reference architectures, reusable components, and internal AI platform capabilities.
 </li>
 <li>
 Design secure integrations between LLMs, internal systems, APIs, databases, workflows, and customer-facing applications.
 </li>
 <li>
 Establish guardrails, AI evaluation frameworks, observability standards, model monitoring, prompt testing, and responsible AI practices.
 </li>
 <li>
 Lead technical decision-making around AI infrastructure, deployment patterns, cloud architecture, model hosting, orchestration, and scalability.
 </li>
 <li>
 Support the development of AI governance frameworks covering data privacy, security, access controls, explainability, quality assurance, and risk management.
 </li>
 </ul>
 
 
 Capability Development &amp; Adoption
 
 
 <ul>
 <li>
 Develop an AI Engineering Maturity Model to assess and improve AI adoption across engineering teams.
 </li>
 <li>
 Deliver internal workshops, technical training sessions, and practical enablement programmes for developers, architects, and engineering leaders.
 </li>
 <li>
 Train teams on LLM engineering workflows, AI coding assistants, agentic architectures, RAG implementation, and AI observability practices.
 </li>
 <li>
 Create and maintain internal documentation, coding standards, architecture guidelines, and engineering playbooks.
 </li>
 <li>
 Stay current with emerging AI technologies and continuously identify opportunities to strengthen the organisation&rsquo;s AI engineering capability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
 </li>
 <li>
 At least 7 years of software engineering experience, including strong exposure to software architecture, enterprise applications, APIs, cloud platforms, and modern software delivery practices.
 </li>
 <li>
 At least 3 years of practical experience designing and deploying production LLM applications, AI agents, RAG systems, or intelligent automation solutions.
 </li>
 <li>
 Demonstrated experience leading AI engineering initiatives across multiple engineering teams or business units.
 </li>
 <li>
 Strong hands-on knowledge of LLM application development, prompt engineering, RAG, agentic architectures, MCP, model evaluation, orchestration frameworks, and AI observability.
 </li>
 <li>
 Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or similar technologies.
 </li>
 <li>
 Experience working with vector databases and knowledge systems such as Pinecone, Weaviate, pgvector, Qdrant, Chroma, or similar tools.
 </li>
 <li>
 Strong programming ability in Python and ideally TypeScript, with experience developing APIs using FastAPI or similar frameworks.
 </li>
 <li>
 Strong understanding of REST APIs, Docker, Kubernetes, Git, CI/CD, cloud deployment, and enterprise software integration.
 </li>
 <li>
 Experience with AWS, Microsoft Azure, Google Cloud Platform, or multi-cloud environments.
 </li>
 <li>
 Familiarity with AI observability and evaluation tools such as LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry, or similar platforms.
 </li>
 <li>
 Proven ability to mentor engineers, influence technical direction, establish standards, and communicate complex AI concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Building or leading AI Engineering Centres of Excellence.
 </li>
 <li>
 Establishing enterprise AI governance, responsible AI, and AI risk-management frameworks.
 </li>
 <li>
 Driving AI transformation programmes across software engineering organisations.
 </li>
 <li>
 Defining AI coding standards, AI-SDLC frameworks, and AI-assisted development methodologies.
 </li>
 <li>
 Building enterprise LLM platforms, internal AI tools, reusable AI components, or shared AI services.
 </li>
 <li>
 Implementing enterprise RAG, multi-agent architectures, MCP servers, and AI workflow automation.
 </li>
 <li>
 Measuring productivity, quality, adoption, and delivery improvements resulting from AI-enabled software development.
 </li>
 <li>
 Experience within financial services, fintech, trading, payments, regulated technology environments, or large-scale enterprise platforms.
 </li>
 </ul>
 
 
 
 
 
 Key Technology Areas
 
 
 <ul>
 <li>
 Frontier LLMs: Claude, OpenAI GPT models, Gemini, Mistral, Llama, DeepSeek
 </li>
 <li>
 AI Development Tools: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, OpenAI Codex, Continue.dev
 </li>
 <li>
 Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack
 </li>
 <li>
 Automation: n8n, Make, Zapier, Apache Airflow
 </li>
 <li>
 Knowledge Systems: Pinecone, Weaviate, pgvector, Qdrant, Chroma, LlamaIndex
 </li>
 <li>
 Engineering: Python, TypeScript, FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD
 </li>
 <li>
 Cloud Platforms: AWS, Azure, Google Cloud Platform
 </li>
 <li>
 AI Observability: LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry
 </li>
 </ul>
</div>

AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Work directly with Public Sector customers in UAE to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
 </li>
 <li>
 Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
 </li>
 <li>
 Run agile cycles (PoC &rarr; pilot &rarr; production), gather user feedback, and drive adoption in real business processes.
 </li>
 <li>
 Act as the &ldquo;bridge&rdquo; between Dubai Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
 </li>
 <li>
 Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across UAE and the region.
 
 
 </li>
 </ul>
 
 Expectations And Tasks
 
 
 
 You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus.
 
 
 <ul>
 <li>
 Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).
 </li>
 <li>
 End to End process knowledge of fundamental Public Sector processes such as Budget Planning, Budget Execution, Grants Management or Funds Management.
 </li>
 <li>
 Knowledge of the Public Sector market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio
 </li>
 <li>
 Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.
 </li>
 <li>
 Software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, logistics, HR, public sector).
 </li>
 <li>
 Prototyping skills with tools like Claude Code or FIGMA.
 </li>
 <li>
 Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.
 </li>
 <li>
 Fluent professional proficiency in English and Arabic (both written &amp; spoken) is a must
 
 
 </li>
 </ul>
 
 Where You Belong
 
 
 
 You will be part of a growing AI and industry expert team dedicated to serving customers across the United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
 
 
 This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters.
 
 
 This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 450279 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

AI Product Specialist for Public Sector

Salt

<div>
 
 
 
 Senior Solution Architect &ndash; Digital &amp; Cloud
 
 
 
 
 
 
 
 
 Location:
 
 Dubai, UAE, plus travel across GCC
 
 
 
 Language Skills:
 
 Arabic and English
 
 
 
 
 
 
 Role Overview
 
 
 
 We are hiring a senior, client-facing Solution Architect for a growing technology consultancy in Dubai.
 
 
 
 
 
 This role will support both pre-sales and delivery, working closely with clients, stakeholders, and engineering teams to shape digital, cloud, software, and integration solutions from early discovery through to implementation.
 
 
 
 
 
 The ideal candidate will be a commercially aware technologist with strong consulting experience, broad software delivery knowledge, and the ability to turn complex requirements into practical, scalable solutions.
 
 
 
 
 
 
 Ideal Profile
 
 
 
 A senior solution architect who can engage confidently with clients, shape commercially viable technology solutions, and stay close enough to delivery to ensure successful implementation.
 
 
 
 
 
 
 Technical Exposure
 
 
 
 Experience across some of the following is requried:
 
 <ul>
 <li>
 Front-end, mobile, back-end, API, and microservices technologies.
 </li>
 <li>
 Cloud platforms such as AWS, Azure, or Google Cloud.
 </li>
 <li>
 Data, analytics, CMS, integration, and third-party platforms.
 </li>
 <li>
 CCaaS platforms, cloud data platforms, AI / ML services, MLOps, Docker, or Kubernetes would be advantageous.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead technical discovery, solution design, and architecture discussions with clients.
 </li>
 <li>
 Support pre-sales activity including scoping, estimation, planning, and proposal input.
 </li>
 <li>
 Translate business requirements into clear, scalable technology solutions.
 </li>
 <li>
 Provide architecture guidance across software, cloud, data, integration, and digital delivery projects.
 </li>
 <li>
 Work with delivery teams to support implementation and resolve technical challenges.
 </li>
 <li>
 Advise stakeholders on technology options, risks, trade-offs, and delivery approach.
 </li>
 <li>
 Support account growth and contribute to delivery standards and best practice.
 </li>
 </ul>
 
 
 
 
 
 Required Experience
 
 
 <ul>
 <li>
 Strong background in solution architecture, technical consulting, software engineering, or digital delivery
 </li>
 <li>
 Exposure to the local GCC market across multiple industries
 </li>
 <li>
 Experience in a consultancy, agency, systems integrator, or client-facing technology environment.
 </li>
 <li>
 Comfortable working across both pre-sales and delivery.
 </li>
 <li>
 Good understanding of modern software architecture, cloud platforms, APIs, agile delivery, and integration patterns.
 </li>
 <li>
 Experience with estimation, work planning, and delivering within time and budget constraints.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex technical topics clearly.
 </li>
 <li>
 Confident in managing stakeholders and operating in fast-moving or ambiguous environments.
 </li>
 </ul>
 
 
 
</div>

Solutions Architect

Virtusa

<div>
 Core Backend Engineering
 
 
 <ul>
 <li>
 Design and build production-grade microservices using Java 17+ and Spring Boot 3.x adhering to clean
 
 
 </li>
 </ul>
 code and SOLID principles
 
 
 <ul>
 <li>
 Own services end-to-end spec &rarr; design &rarr; implement &rarr; test &rarr; deploy &rarr; monitor &rarr; iterate &mdash; with no
 
 
 </li>
 </ul>
 hand-offs
 
 
 <ul>
 <li>
 Author OpenAPI 3.x specifications and Architecture Decision Records (ADRs) before writing code;
 
 
 </li>
 </ul>
 champion spec-driven development
 
 
 <ul>
 <li>
 Write comprehensive unit, integration, and contract tests using TDD discipline with &ge;80% meaningful
 
 
 </li>
 </ul>
 coverage
 
 
 <ul>
 <li>
 Design and manage event-driven architectures using Apache Kafka for asynchronous workflows, domain
 
 
 </li>
 </ul>
 events, and data streaming
 
 
 <ul>
 <li>
 Architect and deploy services on AWS (ECS/EKS, Lambda, RDS, S3, SQS/SNS, CloudWatch, IAM)
 
 
 </li>
 </ul>
 Core Backend (Non-Negotiable)
 
 
 Java 17+ &mdash; records, sealed classes, virtual threads / Project Loom
 
 
 <ul>
 <li>
 Spring Boot 3.x &mdash; Spring Security, Spring Data JPA/JDBC, Spring WebFlux, Spring Cloud
 </li>
 <li>
 Microservices architecture patterns API Gateway, Circuit Breaker (Resilience4j), Saga, CQRS, Outbox
 </li>
 <li>
 RESTful API design with OpenAPI 3.x specifications as source of truth
 </li>
 <li>
 10+ years of professional hands-on backend software engineering experience in production environments mandatory
 </li>
 <li>
 Demonstrated, verifiable enterprise-scale Agentic SDLC / AI-DLC implementation experience &mdash; mandatory
 </li>
 <li>
 Experience in banking, fintech, or a similarly regulated, high-compliance domain &mdash; strongly preferred
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent
 
 
 </li>
 </ul>
 professional experience)
 
 
 <ul>
 <li>
 AWS Certified Developer / Solutions Architect &mdash; a plus
 </li>
 <li>
 Proven track record of delivering complex distributed systems with high availability and measurable
 
 
 </li>
 </ul>
 performance outcomes
 
 
 NICE TO HAVE
 
 
 <ul>
 <li>
 Experience with open banking APIs, PSD2, or CBDC-related workloads
 </li>
 <li>
 Knowledge of AML, KYC, or fraud detection system design
 </li>
 <li>
 Contributions to open-source LLM tooling, MCP servers, or Agentic SDLC / AI-DLC frameworks
 </li>
 <li>
 Familiarity with CQRS + Event Sourcing patterns
 </li>
 <li>
 Experience with Flowable BPM/CMMN workflow automation in Spring Boot
 </li>
 </ul>
</div>

Senior Backend Engineer - Agentic SDLC / AI-Driven  Development Lifecycle (AI-DLC) Platform

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

COBBLESTONE

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Explore 346+ Ai solutions architect in Dubai this July. Find roles across top companies and apply now to boost your career.