AI Solutions Architect

Beyond Limits

Job Description

Strategic AI Architecture & Innovation

Design & Integration: Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges.

Customization & Prototyping: Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact.

Feasibility Analysis: Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements.

Project Leadership & Execution

End-to-End Management: Oversee the full lifecycle of AI projects—from initial scoping and conceptualization to deployment and post-implementation support—ensuring timely delivery and budget adherence.

Stakeholder Collaboration: Engage closely with client representatives, internal R&D teams, and technical staff to maintain clear communication and alignment on objectives, deliverables, and timelines.

Risk & Quality Assurance: Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution.

Technical Support to Pre-Sales & Partner Ecosystem Management

Pre-Sales Expertise: Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients.

Partner Selection & Training: Identify and select the right delivery partners, then train and support them on our technologies to ensure they meet our high technical standards.

Collaborative Oversight: Work in close partnership with delivery leads and external developers to manage project development, ensuring seamless integration and successful client outcomes.

Consulting, Advisory & Continuous Improvement

Strategic Advisory: Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages.

Process Optimization: Analyze and reengineer business processes with AI-driven enhancements to boost operational efficiency and drive measurable results.

Change Management: Lead change initiatives by advising on best practices for technology adoption and delivering targeted training to upskill client teams.

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Required Skills & Experience

Bachelor’s in computer science, Software Engineering, or related.

10+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar heavy industries.

Demonstrated success in managing and aligning diverse stakeholders.

Communication: Articulate technical concepts—architecture diagrams, code quality metrics—to both technical and non technical audiences.

Analytical: Extract insights from performance metrics, error rates, and project KPIs to drive continuous improvement.

Problem Solving: Quickly diagnose system failures, code regressions, and data pipeline issues, and lead resolution.

Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices.

Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP).

Solid understanding of the architectural and operational differences between cloud-native and on-premises software environments.

Fluent in both Arabic and English.

Must be eligible and authorized to work in the Doha (Qatar).

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Preferred Qualifications

MSC or PhD is a plus

Proven experience in enterprise technology consulting and managing complex AI solution deployments, particularly within industrial or high-tech sectors.

Deep technical expertise in AI frameworks, platforms, and integration methodologies.

Demonstrated success in technical pre-sales support and in managing strategic partner ecosystems.

Strong leadership, project management, and stakeholder engagement skills, with a track record of delivering transformative digital solutions.

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