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BeyondAI is hiring a Senior AI Solutions Architect to lead enterprise AI solution design from early client engagement through business discovery, technical scoping, architecture definition, and delivery alignment. This is a senior, client-facing role for someone who can bridge business needs and technical execution. You will work with clients, sales, product, engineering, delivery teams, and partners to shape AI opportunities into clear, feasible, and scalable solutions. The role requires strong architecture skills, business analysis capability, executive communication, and practical experience in pre-sales and delivery.
Job Responsibility:
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 professionalism and 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 the proposed 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 across LLM, ML, computer vision, symbolic AI, and related domains to ensure the architecture is technically feasible, aligned to scope, and extensible for future 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 success criteria, including quantitative evaluation methods that compare the 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 teams to ensure a smooth transition from architecture into execution
Requirements:
At least 12 years of related experience in solution architecture, enterprise architecture, technical consulting, business analysis, or complex technology delivery
15–20 years of experience is preferred
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 solutions for large enterprises, government entities, or strategic accounts
Track record of producing technical proposals, BRDs, SoWs, and architecture documentation for complex engagements
Strong experience in several of the following: 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, workshop facilitation, and stakeholder management
Nice to have:
Experience in energy, industrial, mining, utilities, or government sectors
Experience with enterprise AI platforms in secure, regulated, or data-sensitive environments
Arabic language skills are a strong plus
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, Information Systems, Business Analysis, or a related field
What we offer:
Work on strategic AI programs with leading enterprise and government clients
Shape real-world AI solutions with measurable business impact
Operate across the full lifecycle: discovery, pre-sales, architecture, and delivery
Join a team building advanced AI solutions for complex, mission-critical environments