Presales Solutions Architect

The Data & AI Presales Solution Architect is a strategic and high-impact role responsible for shaping and driving technology transformation initiatives for Atos’ clients as part of the Atos KSA/MET Growth Strategy and Execution Framework
. The role requires a deep blend of technical expertise, business acumen, and architectural leadership to translate customer needs into scalable, future-ready end-to-end solutions and executable transformation roadmaps. The architect will lead presales engagements, solution design, and technical assessments across the Data, AI/ML, and Cloud domains, ensuring solutions are innovative, robust, and aligned with industry best practices.

This role demands strong customer-facing and consulting skills to support large-scale digital transformation programs across regulated sectors such as Government, Public Sector, Financial Services, Energy, and Aviation. The architect will collaborate closely with Sales, Delivery, Product teams, and strategic partners to build compelling proposals, RFP responses, and architecture blueprints that meet business objectives and comply with KSA regulatory frameworks (SDAIA, NDMO, NCA, SAMA, PDPL).

The successful candidate will play a key role in defining Atos’ competitive positioning in the KSA market through advisory leadership, technical excellence, and high-quality customer engagement.

• Strategic 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 5 to produce strategic blueprints.
• Feasibility & Modernization: Conduct detailed feasibility analysis (including the 6R Modernization model
  , Greenfield/Brownfield assessment) to 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 contracts
• Value 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.

The 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.
• Required Skills & Expertise
• Technical & Architectural Skills
• Overall 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, Sage Maker, Tensor Flow, PyTorch, Lang Chain, Jupyter, MLflow, vector databases, RAG architectures, and frameworks supporting…