AI Solution Architect at Tarjama&

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, MLOps, Data Engineering, Cloud Platforms, Model Evaluation, Technical Leadership, Scalable Systems, Infrastructure Design, Cross-Functional Collaboration, Risk Assessment, Compliance, Documentation, Benchmarking, Optimization, Enterprise Solutions, Vector Databases, LLM-Based Systems

Industry

Translation and Localization

Description

Job Purpose The AI Solution Architect designs production-grade AI systems and leads architecture, infrastructure, and pipeline decisions needed for scalable, reliable AI products. Key Responsibilities Architecture & System Design · Design end-to-end AI architectures for enterprise-level production systems. · Define infrastructure, pipelines, data flows, and model-serving frameworks. · Ensure architecture meets scalability, reliability, and performance benchmarks. Technical Enablement & Standards · Establish best practices for MLOps, deployment, and lifecycle management. · Build reusable templates, patterns, and architectural guidelines. · Support benchmarking, model evaluation, and optimization. Cross-Functional Collaboration · Work with engineering, AI, data, and product teams to deliver aligned solutions. · Translate business requirements into actionable technical specifications. · Provide technical leadership across the delivery lifecycle. Quality, Governance & Compliance · Ensure architectural alignment with security, compliance, and operational standards. · Conduct risk assessments, reviews, and documentation of architecture decisions. Qualifications & Requirements · Bachelor's degree in computer science, Computer Engineering, AI/ML, Data Engineering, or related field. · 7–10+ years of experience in solution architecture, AI/ML systems, or large-scale data engineering. · Proven experience designing AI/ML system architectures and scalable distributed systems. · Strong knowledge of cloud platforms, MLOps, pipelines, and data engineering. · Strong communication, documentation, and cross-functional leadership skills. · Experience with RAG architectures, vector databases, and LLM-based systems is a plus. · Experience in enterprise or government-scale transformations is a plus.

Responsibilities

The AI Solution Architect designs production-grade AI systems and leads architecture, infrastructure, and pipeline decisions needed for scalable, reliable AI products. Key responsibilities include designing end-to-end AI architectures, establishing best practices for MLOps, and ensuring compliance with security and operational standards.