Presales Solutions Architect

1. Job Description
2. Position Overview

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.

1. Roles & Responsibilities

• 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 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 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.

1. Key Deliverables & Expected Outcomes

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.

1. Required Skills & Expertise
2. 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, 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 tools
• Languages: 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 Services

• Data 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 Services

• AI-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 Advisory

• 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 Solutions

• Architect and deliver sector-specific Data & AI solutions addressing domain challenges in Government, Smart Cities, Healthcare, BFSI, Energy, and Aviation.

1. Essential Soft Skills

• Communication & 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.
• Bilingual Proficiency: English and Arabic-speaking is a significant plus due to the requirement to engage with KSA-based CXOs and government entities.

1. 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 Metrics

• Business Growth: Order Entry, Revenue, Profitability (PM & OM), and Customer Satisfaction for all the deals
• Efficiency 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.