Data & AI Architect

Valleysoft is an IT services and consulting company delivering enterprise technology, cloud, and data solutions for clients across global markets. We work with organizations navigating complex transformation agendas and help them turn strategy into scalable, secure, and practical technology outcomes. Our focus spans modern data platforms, enterprise architecture, and emerging AI capabilities that support measurable business value.

In this role, you will help shape how enterprise clients design and evolve their data and AI landscapes. As a Data & AI Architect, you will guide architecture decisions that connect business priorities with modern platforms, governance models, and transformation roadmaps, while partnering with technical teams, client stakeholders, and commercial teams to define solutions that are both forward-looking and delivery-ready.

Responsibilities

• Design enterprise data architectures, integration strategies, data platforms, and governance frameworks.
• Define architecture blueprints, reference architectures, technology standards, and modernization roadmaps.
• Establish data governance capabilities covering data quality, metadata, master data management, data lineage, and data lifecycle management.
• Design AI architectures covering machine learning, Generative AI, LLMs, AI agents, orchestration, and Retrieval-Augmented Generation (RAG).
• Define AI platform capabilities, including model integration, deployment, monitoring, MLOps/LLMOps, and lifecycle management.
• Develop AI governance frameworks covering model risk, data privacy, security, bias, explainability, accountability, and regulatory compliance.
• Lead data and AI strategy development, current-state assessments, gap analyses, and transformation roadmaps.
• Lead technical presales activities, including client consultations, solution proposals, RFP/RFI responses, architecture presentations, and proof-of-concept planning.
• Provide architectural leadership throughout solution delivery, ensuring scalability, security, quality, and alignment with business requirements.
• Collaborate with data engineers, AI/ML engineers, developers, security teams, sales, and business stakeholders.
• Mentor technical teams and contribute to enterprise transformation initiatives across banking and financial services, telecommunications, and the public sector.

Requirements

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical discipline.
• 8+ years of experience in enterprise data architecture, integration, and enterprise platform design, including hands-on architectural experience in master data management.
• Hands-on architectural experience in AI/ML architecture, including Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and agentic AI.
• Experience designing enterprise data platforms, including data lakes, lakehouses, data warehouses, and platforms such as Databricks or Snowflake.
• Experience designing scalable and secure solutions on Azure, AWS, or IBM Cloud, along with data integration solutions using APIs, Kafka or event streaming, and ETL/ELT pipelines for batch and real-time integration.
• Experience with AI/ML platforms and solution components, including LLM integration and vector databases, as well as MLOps or LLMOps practices covering model deployment, monitoring, evaluation, versioning, and lifecycle management.
• Experience delivering enterprise data and AI architecture, data governance, and AI/ML solutions in banking and financial services, telecommunications, or public sector transformation.
• Practical experience applying enterprise architecture, data governance, and AI governance frameworks, with hands-on application of data privacy, security, bias mitigation, and explainability principles.
• Experience presenting architecture and AI strategy to CIO/CTO-level executives, leading technical discussions with enterprise clients, and driving presales and solution-design discussions across business, engineering, data, security, and delivery teams.
• Strong English proficiency for executive presentations, architecture documentation, presales discussions, and communication with international stakeholders.
• Ability to work on-site.
• Relevant professional certifications in enterprise architecture, cloud, data, or AI are a plus.
• Arabic proficiency for client-facing discussions with stakeholders in Egypt and the GCC is a plus.