AI Solutions Architect

Customer Discovery & Solution Design

• Lead technical discovery workshops to understand customer business objectives, operational challenges, and AI maturity.
• Identify pain points, whitespace opportunities, and high-value AI use cases.
• Translate requirements into scalable BeyondAI solution architectures spanning data, AI models, enterprise integration, and user experience.
• Advise customers on AI adoption roadmaps and implementation strategies.

Technical Sales & Customer Engagement

• Partner with Sales across the full opportunity lifecycle: customer presentations, executive demos, technical deep dives, architecture discussions, solution workshops, RFP responses, proposal development, commercial discussions, and Proof of Value planning.
• Serve as the trusted technical advisor throughout the sales process.

AI Solution Prototyping

• Independently build rapid Proofs of Concept — AI assistants, retrieval pipelines, agent workflows, enterprise document integration, LLM workflows, reasoning flows, and simple ML workflows — using the BeyondAI platform with minimal dependency on Engineering or Product.
• Prioritize speed and creativity.

AI Strategy & Market Intelligence

• Maintain strong awareness of enterprise Generative AI, Agentic AI, Physical AI, Robotics, Industrial AI, AI infrastructure, Digital Twins, AI governance and safety, Enterprise Knowledge Management, and emerging AI architectures.
• Monitor competitors (Microsoft, Google Cloud, C3 AI, Palantir, Cognite, Dataiku, Scale AI, NVIDIA) and industrial technology leaders (Schneider Electric, AVEVA, Siemens, Honeywell, AspenTech, Emerson, ABB, GE Vernova); articulate BeyondAI's differentiation to customers.

Industry Expertise

• Develop deep understanding of industrial AI use cases across Oil & Gas, LNG, Petrochemicals, Utilities, Manufacturing, Mining, Energy, and Chemicals.
• Understand customer challenges around Digital Twins, Engineering Information Management, Predictive Maintenance, Process Optimization, Operations, Workforce Productivity, Knowledge Management, Engineering AI, Industrial Automation, Robotics, and Autonomous Operations.

Content Development

• Produce customer-facing materials: solution presentations, AI architecture diagrams, proposals, technical responses, value propositions, demonstration scripts, and workshop materials — using AI productivity tools responsibly and ensuring all material reflects BeyondAI terminology and messaging.

Internal Collaboration

• Serve as the technical bridge between customers and product development, working closely with Sales, Product Management, Engineering, Data Science, Customer Success, Delivery Teams, and Strategic Partners.

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Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline.
• 8+ years in Solution Architecture, AI Consulting, Technical Pre-Sales, or Enterprise AI.
• Experience delivering enterprise AI solutions for large organizations.
• Strong customer-facing consulting experience.
• Experience designing enterprise software architectures.
• Experience working with executive stakeholders.

Required Technical Experience — Artificial Intelligence

• Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI, Prompt Engineering, Vector Databases, Knowledge Graphs, Machine Learning, Symbolic AI / Knowledge-Based Systems, AI Evaluation, AI Governance.

Required Technical Experience — Enterprise Architecture

• Cloud platforms, APIs, enterpriseintegration, Identity & Security, data platforms, Containers, Kubernetes,Azure AI ecosystem, Microsoft Copilot ecosystem, OpenAI ecosystem.

Required Technical Experience — Industrial Technology

• Exposure to one or more of: Digital Twins, Industrial Data Platforms, SCADA, Historians, MES, ERP, Asset Management, Engineering Systems, Process Control Systems.

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Preferred Qualifications & Education‍

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Preferred Industry Experience

• Energy, Oil & Gas, LNG, Petrochemicals, Chemicals, Utilities, Industrial Manufacturing, Mining. Experience supporting major industrial customers is highly desirable.

Preferred Background

• AI & Enterprise AI companies: C3 AI, Microsoft, Google Cloud, Palantir, Cognite, Dataiku, Scale AI, NVIDIA, IBM, AWS.
• Industrial Technology companies: Schneider Electric, AVEVA, Siemens, Honeywell, AspenTech, Emerson, ABB, GE Vernova, Yokogawa.
• Experience with industrial digital transformation initiatives is a significant advantage.

Personal Attributes

• Highly curious, creative and innovative, customer obsessed, commercially minded, strong communicator, exceptional presenter, self-driven, hands-on, detail-oriented, highly organized, comfortable with ambiguity, fast learner, and passionate about emerging AI technologies.

Success in the Role (First 12 Months)

• Become a trusted technical advisor for enterprise customers across the Middle East and Africa.
• Independently lead customer discovery workshops and design solutions that accelerate sales cycles.
• Build impactful demonstrations and Proofs of Concept with minimal engineering support.
• Influence product direction through customer feedback and drive adoption of BeyondAI's LLM, Machine Learning, and Symbolic AI capabilities across strategic accounts.