Presales Solution Architect
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Key skills for this role
About the Role
Atos seeks a Presales Solution Architect to lead strategic visioning, enterprise architecture, and solution design for Data & AI initiatives. Requires 15+ years IT experience, 5+ years in senior Data/AI/Enterprise Architecture roles, and expertise in cloud platforms, AI/ML frameworks, and governance.
Key Skills for This Role
Responsibilities
- Assess and collaborate with customer CXOs and Technology Leaders to build business outcome driven technological transformational vision
- Define, design, and govern Enterprise Architecture (business, technical data, AI & security) leveraging frameworks like TOGAF
- Conduct detailed feasibility analysis including 6R Modernization model, Greenfield/Brownfield assessment
- Create business cases for multi year programs, defining MVP based roadmaps and wave based rollouts
- Ensure strategic blueprint is regulatory compliant (PDPL, CCRF, NCA, GDPR, ISO 27001)
- Partner with Account Executives and Sales Leaders to drive strategic accounts and establish customer engagement
- Lead customer requirements and RFI/RFP/RFQ responses to deliver end to end solutions
- Drive Atos Offering Portfolios and utilize strategic global and local technology partnerships
Requirements
- 15+ years in IT with a minimum of 5 years in senior Data, AI/ML, or Enterprise Architecture roles
- Strong capability in designing end to end Data, AI/ML, and GenAI architectures
- Expertise in AWS, Azure, GCP, and modern data platforms such as Hadoop, Spark, Snowflake, Databricks
- Hands on knowledge of Azure ML, SageMaker, TensorFlow, PyTorch, LangChain, Jupyter, MLflow, vector databases, RAG architectures
- Proficiency in Python, SQL, and Spark/Scala
- Strong understanding of SDAIA, NDMO, PDPL, CCRF, and global frameworks like DAMA, GDPR, OECD
- Proficiency in APIs, Microservices, Kubernetes, Docker, event streaming platforms, workflow orchestration for AI pipelines
- Working knowledge of ISO 27001, NIST, NCA, NDGP, SAMA IT and secure by design principles
- Deep experience in architecting Data & AI use cases for Government/Public Sector, Financial Services, Energy/Utilities, and Aviation
- Exceptional verbal and written communication skills, including ability to conduct impactful workshops and presentations
Full Job Posting
About Atos Group
- Atos 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.
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.
- Define, design, and govern the Enterprise Architecture (business, technical data, AI & security) leveraging frameworks like TOGAF and Zachman to produce strategic blueprints.
- Conduct detailed feasibility analysis (including the 6R Modernization model, Greenfield/Brownfield assessment) to define and guide MVP based roadmaps.
- Create business cases for multi year programs, defining MVP based roadmaps and wave based rollouts through agile/waterfall/hybrid delivery models.
- Ensure the strategic blueprint is regulatory compliant, such as PDPL, CCRF, NCA, GDPR, and ISO 27001.
Responsibilities Opportunity to Contract (O2C)
- 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.
- 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.
- Drive the Atos Offering Portfolios and utilize Atos’ strategic global and local technology product and service partnerships.
Key Deliverables & Expected Outcomes
- 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 Skills
- Overall Industry Experience 15+ years in IT with a minimum of 5 years in senior Data, AI/ML, or Enterprise Architecture roles.
- Strong capability in designing end to end Data, AI/ML, and GenAI architectures including ingestion, processing, storage, AI pipelines, model deployment, and governance.
- Expertise in AWS, Azure, GCP, and modern data platforms such as Hadoop, Spark, Snowflake, Databricks, and cloud native data services.
- 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.
Data & AI Tech Services 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.
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.
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