Presales Solution Architect

🏢 Atos India
📍 Saudi ArabiaFull-timeHybrid
📅 Posted: 3w ago🔄 Updated: 3w ago
CV%
✨ AI Summary
Atos Group is seeking a Presales Solution Architect with 15+ years of IT experience, including at least 5 years in senior Data, AI/ML, or Enterprise Architecture roles. The role involves strategic visioning, enterprise architecture leadership, feasibility analysis, and program definition, with a strong emphasis on compliance and security. The candidate will partner with sales teams to drive business growth by developing end-to-end futuristic solutions and creating detailed business cases. Key responsibilities include architecting Data & AI solutions, developing business cases with TCO and ROI, and defining MVP-based roadmaps. The role requires strong technical skills in Data & AI platforms, cloud expertise (AWS, Azure, GCP), and proficiency in programming languages like Python and SQL. Excellent communication and presentation skills are essential, along with strategic leadership and stakeholder management abilities. Experience in architecting Data & AI use cases for sectors like Government, Financial Services, Energy/Utilities, and Aviation within the KSA landscape is crucial.
Required Skills
Other
Edge AIAnalytics BI InsightsAI ML GenAI PlatformsLanguagesIndustry KnowledgeDataOpsIndustry Data AI SolutionsKey Platforms ProductsSecurity Risk ControlsGenAI Agentic AIData AI Advisory
Engineering, Construction & Trades
Automation
Information Technology
Data GovernanceData MigrationData PlatformsOrchestrationMLOpsData Architecture
Soft Skills & Professional Competencies
Ethics
🎁 Benefits & Perks
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Diversity and inclusion are embedded in our DNA.
Requirements
Requires 15+ years in IT with a minimum of 5 years in senior Data, AI/ML, or Enterprise Architecture roles. Strong capabilities in designing end-to-end Data, AI/ML, and GenAI architectures, including expertise in cloud platforms (AWS, Azure, GCP) and modern data platforms. Proficiency in programming languages like Python and SQL, and experience with AI/ML platforms such as Azure ML, SageMaker, TensorFlow, PyTorch, LangChain, and vector databases. Must have a strong understanding of relevant governance and compliance frameworks (PDPL, CCRF, NCA, GDPR, ISO 27001) and experience with integration technologies like APIs and Microservices. Deep experience in architecting Data & AI use cases for Government/Public Sector, Financial Services, Energy/Utilities, and Aviation, especially in the KSA landscape.
Description
About Atos GroupAtos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Position CGO - Presales Solution Manager Responsibilities Roles & ResponsibilitiesStrategic Visioning Assess and collaborate with customer CXOs and Technology Leaders in leading and building business outcome-driven technological transformational vision, SMART objectives, green/brown field strategies, and program charters.Enterprise Architecture Leadership Define, design, and govern the Enterprise Architecture (business, technical data, AI & security) leveraging frameworks like TOGAF and Zachman 5to produce strategic blueprints.Feasibility & Modernization Conduct detailed feasibility analysis (including the 6R Modernization model, Greenfield/Brownfield assessment) 7to define and guide MVP-based roadmaps.Program Definition Create business cases for multi-year programs, defining MVP-based roadmaps and wave-based rollouts through agile/waterfall/hybrid delivery models.Compliance & Security Ensure the strategic blueprint is regulatory-compliant, such as PDPL, CCRF, NCA, GDPR, and ISO 27001.In Opportunity to Contract (O2C)Partnership Partner with Account Executives and Sales Leaders to drive Atos strategic logos/accounts and proactively establish strong, influential customer engagement to win and deliver contractsValue Realization Lead Customer requirements and RFI/RFP/RFQ responses promptly to deliver end-to-end futuristic Solutions for the exact scope with Atos USPs, ensuring focus on key commercial metrics, including T2V, TTM, TCO, xLAs, quality, cost, and profitability.Portfolio & Partnerships Drive the Atos Offering Portfolios and utilize Atos strategic global and local technology product and service partnerships.Key Deliverables & Expected OutcomesThe following are the deliverables to customers as part of the assessments and solutions.Architectural Artifacts Creation and presentation of comprehensive Atos Portfolios & Capabilities aligned to customers vision, Business Requirements, Strategy architecture blueprints, and security models.Business Cases Development of 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 Strong capability in designing 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, and modern data platforms such as 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 frameworks supporting Agentic AI, GenAI/ML platforms, LLM models.Data Platform Skills Delta Lake, Kafka, Synapse, BigQuery, Redshift, other data toolsLanguages Python (ML + automation), SQL (analytics), Spark/Scala (big data workloads)Governance, Ethics & Compliance Strong understanding of SDAIA, NDMO, PDPL, CCRF, and global frameworks like DAMA, GDPR, OECD, with the ability to embed compliance into architecture design.Integration & Orchestration Proficiency in APIs, Microservices, Kubernetes, Docker, event-streaming platforms, workflow orchestration for AI pipelines, and scalable MLOps/GenOps solutions.Security & Risk Controls Working knowledge of ISO 27001, NIST, NCA, NDGP, SAMA IT and secure-by-design principles for Data & AI workloads.Industry Knowledge Deep experience in architecting Data & AI use cases for Government/Public Sector, Financial Services, Energy/Utilities, and Aviation, especially in the KSA landscape.Key Platforms & Products Exposure to regional and enterprise AI ecosystems such as Sawaher Platform, FOCAL, Anything.ai, OmniServe, and similar AI accelerators.Data & AI Tech Services 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 Implement governance, data quality, metadata management, lineage, cataloging, and master data frameworks aligned with SDAIA/NDMO.Analytics, BI & Insights Build advanced dashboards, analytical models, and AI-driven insights using ML, predictive analytics, and data science workflows.DataOps Implement CI/CD for data pipelines, monitoring, observability, and automated data quality checks for reliable operations.AI ServicesAI-driven Automation Intelligent Document Processing (IDP), Computer Vision pipelines, Conversational AI, NLP/NLU platforms.GenAI & 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.Data & AI AdvisoryConduct 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.Essential Soft SkillsCommunication & Presentation Exceptional verbal and written communication skills, including the ability to conduct impactful workshops, high-stakes presentations, and Convergence Views for executive audiences.Strategic Leadership Ability to lead cross-functional teams through vision and influence.Stakeholder Management Proven ability to build strong, influential relationships with CXOs, Sales, and Engineering teams.Key Performance Indicators (KPIs) & Success Metrics For Customers, the following are the KPIs & Success Metrics of consulting and solutions.TCO/ROI Accuracy Accuracy of estimated TCO and ROI in approved business cases versus actual program performance.T2V/TTM Improvement Demonstrated reduction in Time to Value (T2V) and Time to Market (TTM) for key transformation programs.Compliance Adherence Zero critical compliance or regulatory breaches attributable to the solution blueprint.Stakeholder Alignment Score Internal and external feedback score reflecting the effectiveness of engagement and alignment.For Atos, the following are the Pre-sales excellence KPIs and Success MetricsBusiness Growth Order Entry, Revenue, Profitability (PM & OM), and Customer Satisfaction for all the dealsEfficiency and Effectiveness Delivering quality solutions and value adds as part of the solution with proactive offerings and partnerships.Win Rate for Strategic Accounts Percentage of RFI/RFP/RFQ responses that result in a successful contract award.Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.Choose your future. Choose Atos.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00