| المنصب | Presales Solution Architect |
| نُشر في | 05 Aug 2026 |
| انتهت الصلاحية | 04 Sep 2026 |
| الشركة | Atos SE |
| الموقع | Riyadh | SA |
| نوع الوظيفة | Full Time |
أحدث معلومات الوظائف من Atos SE لمنصب Presales Solution Architect. If the Presales Solution Architect الشاغرة في Riyadh تتوافق مع مؤهلاتك، يرجى تقديم أحدث طلب أو سيرة ذاتية مباشرة من خلال بوابة وظائف Jobkos المحدثة.
يرجى ملاحظة أن التقديم على وظيفة قد لا يكون سهلاً دائماً، حيث يجب على المرشحين الجدد استيفاء مؤهلات ومتطلبات معينة تحددها الشركة. نأمل أن تكون الفرصة المهنية في Atos SE لمنصب Presales Solution Architect أدناه تتوافق مع مؤهلاتك.
Strategic Visioning
Assess and collaborate with customer CXOs and Technology Leaders in developing outcome‑driven technical transformation visions, SMART objectives, green/brown field strategies, and program charters.
Enterprise Architecture LeadershipDefine, design, and govern the Enterprise Architecture (business, technical data, AI & security) leveraging frameworks such as TOGAF and Zachman to produce strategic blueprints.
Feasibility & ModernizationConduct detailed feasibility analysis (including the 6R Modernization model, Greenfield/Brownfield assessment) to define and guide MVP‑based roadmaps.
Program DefinitionCreate business cases for multi‑year programs, defining MVP‑based roadmaps and wave‑based rollouts through agile/waterfall/hybrid delivery models.
Compliance & SecurityEnsure the strategic blueprint is regulatory‑compliant, covering PDPL, CCRF, NCA, GDPR, and ISO 27001.
In Opportunity to Contract (O2C)Partner with Account Executives and Sales Leaders to drive strategic logos/accounts and establish influential customer engagement to secure contracts.
Value RealizationLead customer requirements and RFI/RFP/RFQ responses to deliver end‑to‑end solutions aligned with key commercial metrics such as T2V, TTM, TCO, and xLAs.
Portfolio & PartnershipsDrive the Atos Offering Portfolios and leverage strategic global and local technology product and service partnerships.
Deliverables to CustomersArchitectural Artifacts: Comprehensive Atos Portfolios & Capabilities aligned to customers’ vision, business requirements, strategy architecture blueprints, and security models.
Business Cases: Detailed business cases including Business Values, Total Cost of Ownership (TCO), and Return on Investment (ROI).
Roadmap Execution: Definition of MVP‑based roadmaps and wave‑based rollouts.
Technical & Architectural SkillsOverall Industry Experience: 15+ years in IT with a minimum of 5 years in senior Data, AI/ML, or Enterprise Architecture roles.
Data & AI Architecture: Ability to design end‑to‑end Data, AI/ML, and GenAI architectures, including ingestion, processing, storage, AI pipelines, model deployment, and governance.
Cloud & Data Platforms: Expertise in AWS, Azure, GCP, Hadoop, Spark, Snowflake, Databricks, and cloud‑native data services.
AI/ML & GenAI Platforms: Hands‑on knowledge of Azure ML, SageMaker, TensorFlow, PyTorch, LangChain, Jupyter, MLflow, vector databases, RAG architectures, and agentic AI platforms.
Data Platform Skills: Experience with Delta Lake, Kafka, Synapse, BigQuery, Redshift, and other data tools.
Governance, Ethics & Compliance: Understanding of SDAIA, NDMO, PDPL, CCRF, GDPR, OECD, and ability to embed compliance into architecture design.
Integration & Orchestration: Proficiency in APIs, Microservices, Kubernetes, Docker, event‑streaming platforms, and workflow orchestration for AI pipelines.
Security & Risk Controls: Knowledge of ISO 27001, NIST, NCA, NDGP, SAMA IT, and secure‑by‑design principles for Data & AI workloads.
Industry Knowledge: Experience architecting Data & AI use cases for Government/Public Sector, Financial Services, Energy/Utilities, and Aviation, especially within the KSA landscape.
Key Platforms & Products: Exposure to regional AI ecosystems such as Sawaher Platform, FOCAL, Anything.ai, OmniServe, and similar AI accelerators.
Data ServicesData Architecture & Platform Engineering: Designing modern data platforms, lakehouses, and data mesh architectures aligned with business KPIs.
Data Modernization & Migration: Transforming legacy platforms into cloud‑native, scalable, and secure data environments.
Data Governance & MDM: Implementing governance, data quality, metadata management, lineage, cataloging, and master data frameworks aligned with SDAIA/NDMO.
Analytics, BI & Insights: Building advanced dashboards, analytical models, and AI‑driven insights using ML, predictive analytics, and data science workflows.
DataOps: Implementing CI/CD for data pipelines, monitoring, observability, and automated data quality checks for reliable operations.
AI ServicesGenAI & Agentic AI: Enterprise GenAI apps, RAG architectures, vector search, prompt engineering, and AI agents for task orchestration.
MLOps / GenOps: End‑to‑end model lifecycle management covering training, deployment, versioning, monitoring, explainability, and drift detection.
Edge AI & AI Reliability: Low‑latency AI inference at the edge; AI testing frameworks to mitigate adversarial attacks, data poisoning, bias, and model leakage.
Conduct Data/AI maturity assessments, capability gap analysis, and risk evaluations. Define AI and Data strategy, investment priorities, and transformation roadmaps aligned with business objectives and KSA regulatory constraints.
Industry Data & AI SolutionsArchitect and deliver sector‑specific Data & AI solutions addressing domain challenges in Government, Smart Cities, Healthcare, BFSI, Energy, and Aviation.
Communication & PresentationExceptional verbal and written communication skills, including the ability to conduct impactful workshops, high‑stakes presentations, and convergence views for executive audiences.
Strategic LeadershipAbility to lead cross‑functional teams through vision and influence.
Stakeholder ManagementProven ability to build strong, influential relationships with CXOs, Sales, and Engineering teams.
Key Performance Indicators (KPIs) & Success MetricsFor Customers: TCO/ROI accuracy, T2V/TTM improvement, compliance adherence, and stakeholder alignment score.
For Atos: Business growth (order entry, revenue, profitability), efficiency and effectiveness, and win rate for strategic accounts.
#J-18808-Ljbffrبعد قراءة وفهم المعايير ومتطلبات الحد الأدنى من المؤهلات الموضحة في معلومات الوظيفة Presales Solution Architect at the office Riyadh أعلاه، أكمل فوراً ملفات طلب الوظيفة مثل خطاب التقديم، السيرة الذاتية، نسخة من الشهادة الجامعية، كشف الدرجات، والملاحق الأخرى كما هو موضح أعلاه. أرسلها عبر رابط الصفحة التالية أدناه.
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