AI Solutions Architect (EMEA)

Beyond; Riyadh; On-site; SAR 600,000 - 900,000; Full time

Job summary

BeyondAI is hiring a senior AI Solutions Architect to lead enterprise AI solution design from early client engagement through architecture and delivery alignment. This role bridges business needs with technical execution, collaborating with clients, sales, product, engineering, and delivery teams to shape AI opportunities into feasible, scalable solutions.

The position requires strong architecture and business analysis capabilities, executive communication, and hands-on experience in pre-sales

Qualifications

• Proven track record leading enterprise AI solution design and architecture for complex client environments.
• Experience translating business challenges into scalable, high-impact AI solutions.
• Strong client-facing experience combining business discovery, pre-sales, and delivery-oriented architecture.

Responsibilities

• Lead client discovery sessions, business workshops, and solution architecture discussions.
• 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.
• Develop initial budgetary estimates and cost views for infrastructure, licenses, and professional services.
• Support pre-sales activities including proposals, RFP responses, demos, effort estimation, and solution positioning.

Skills

AI/ML solution design

Executive communication

Pre-sales and delivery

Business analysis

Solution architecture

Data readiness assessment

Stakeholder management

Architectural diagrams

Education

Bachelor or Master’s degree in CS/Engineering/AI/Data Science/Information Systems

Tools

Cloud platforms (Azure/AWS/GCP)

Job description

BeyondAI is hiring a senior level 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.

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

Required Skills

• 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

Build the future with us

On-Site

Full-time