Must-have profile

This role is best suited for a professionalwith a proven track record of leading enterprise AI solution design and architecture for complex client environments. Ideal candidates willhave experience working within an AI productcompany, consulting organization, system integrator, or digital transformation firm, where they have successfully translated business challenges intoscalable, hig-impact AI Solutions.

What kinds of projects you will lead

Projects may include:

‍

·       Enterprise AI assistants and knowledge platforms

·       Generative AI and RAG solutions for secure environments

·       Predictive and prescriptive analytics for industrial and operational use cases

·       AI-powered automation and decision-support solutions integrated with enterprise systems

·       Hybrid, private cloud,or on-prem AI deployments for regulated and data-sensitive clients

Key Responsibilities

·       Lead client discovery sessions, business workshops, and solution architecture discussions

·       Understand current and future-state business processes and convert them into clear business requirements, feature lists, and user stories for implementation teams

·       Produce strong requirement and solution artifacts, including BRDs, Solution Design Documents, architecture diagrams, scope, assumptions, and Statements of Work

·       Engage confidently with both end users and senior client executives, with strong executive-level communication when gathering requirements or presenting solutions

·       Build trusted client relationships and handle challenging stakeholder situations with professionalismand maturity

·       Translate business needs into AI use cases,architecture options, and phased implementation plans

·       Define end-to-end solution architectures across data, AI/ML, GenAI, applications, integrations, infrastructure, and security

·       Assess data readiness, including data availability, access, quality, representativeness, and transformation requirements for theproposed solution

·       Evaluate whether available data and knowledge sources are sufficient for the intended AI scope, and identify gaps, risks, dependencies, and assumptions

·       Work closely with specialized AI leads acrossLLM, ML, computervision, symbolic AI, and related domains to ensure thearchitecture is technically feasible, aligned to scope, and extensible forfuture releases

·       Ensure the proposed solution fits the available AI infrastructure, delivery timeline, practical recent AI technologies, and the realities of the client’s data environment

·       Define clear and measurable successcriteria, including quantitative evaluation methods that comparethe current state (AS-IS) with the future state (TO-BE)

·       Support clients in understanding business impact, value proposition, and expected operational benefits

·       Develop initial budgetary estimates and cost views covering infrastructure, licenses, and professional services

·       Support pre-sales activities including proposals, RFP responses, demos, effort estimation, and solution positioning

·       Partner with engineering and delivery teamsto ensure a smooth transition from architecture into execution

Required Experience

·       14–20 years of experience of related experience in solution architecture, enterprise architecture, technical consulting, business analysis,or complex technology delivery

·       Strong experience in AI/ML, advanced analytics, generative AI, or intelligent automation solution design

·       Proven experience in client-facing roles that combine business discovery, pre-sales, and delivery-oriented architecture

·       Experience designing solutionsfor large enterprises, government entities, or strategic accounts

·       Track record of producing technical proposals, BRDs, SoWs, and architecture documentation for complex engagements

Required Skills

·       Enterprise solution architecture

·       Business analysis and process discovery, feature definition, and user story development

·       Working with data engineering and enterprise integration team

·       AI/ML solution design, generative AI, RAG, and agentic workflows

·       Working with cloud, on-prem, and hybrid deployment team

·       APIs, enterprise systems integration, and interoperability

·       Knowledge on SSO, RBAC, IAM, and enterprise security principles

·       Delivery governance, solution estimation, and success measurement

·       Executive communication, workshopfacilitation, and stakeholder management

‍

Preferred Qualifications

·       Experience in energy,industrial, mining, utilities, or government sectors

·       Experience with enterprise AI platforms in secure, regulated, or data-sensitive environments

·       Arabic language skillsare a strong plus

·       Bachelor or Master’s degree in Computer Science, Engineering, AI, Data Science, Information Systems, Business Analysis, or a related field

‍