AI Solutions Architect (Secure & Embedded Systems)
Role Overview
SupportFinity is hiring an AI Solutions Architect to lead the design and delivery of AI-powered video, audio, and text solutions deployed on highly secure, closed hardware environments.
This role sits at the intersection of AI, software, and hardware. You will architect end-to-end AI systems—powered by LLMs running directly on dedicated hardware devices—with a strong focus on security, performance, and multilingual intelligence (Arabic & English).
You will own the technical vision, translate complex use cases into deployable AI architectures, and lead implementations for restricted, offline, or air-gapped environments where cloud dependency is not an option.
What You’ll Do
AI Architecture & Design
Design AI-powered video, audio, and text pipelines optimized for secure hardware devices
Architect on-device or edge-deployed LLM solutions with minimal or zero cloud reliance
Lead AI system design for closed, controlled, and highly regulated environments
Hardware–Software Integration
Design AI solutions that operate within hardware constraints (compute, memory, latency, power)
Work closely with hardware, firmware, and systems teams to ensure seamless integration
Optimize models and inference pipelines for specific chipsets, accelerators, and embedded platforms
Multilingual Intelligence
Architect and fine-tune AI systems capable of high-quality Arabic and English understanding
Design multilingual NLP, speech-to-text, text-to-speech, and video intelligence pipelines
Address linguistic nuance, dialect sensitivity, and cross-language reasoning
Security & Reliability
Design AI systems aligned with secure-by-design principles
Ensure data isolation, controlled model access, and compliance with strict security requirements
Build architectures suitable for air-gapped, offline, or sovereign environments
Technical Leadership
Own AI design decisions from use-case definition → architecture → deployment
Lead technical reviews, architecture documentation, and stakeholder alignment
Act as the AI authority for complex, high-impact customer and internal projects
Required Experience & Skills
Core Requirements
5+ years of experience across AI, software architecture, and system design
Proven experience designing AI solutions for secure, closed, or embedded hardware environments
Strong hands-on experience with LLMs (inference, fine-tuning, optimization, deployment)
Deep understanding of hardware–software co-design
Ability to independently lead AI architecture from concept to production
AI & ML Expertise
Experience with NLP, speech, video, or multimodal AI systems
Model optimization techniques (quantization, pruning, distillation, edge inference)
Familiarity with deploying AI on constrained or specialized hardware
Languages
Strong experience building AI systems in Arabic and English
Ability to handle multilingual data pipelines and linguistic edge cases
Technical Stack (Representative)
LLM frameworks and runtimes
Python, C/C++, or equivalent system-level languages
Model deployment frameworks for edge / embedded AI
Secure system design and data isolation practices
Work location
You’ll work in a hybrid mode. Our office is in Smart Village, Giza where you will need to be present in office at least once a week.
Nice to Have
Experience with air-gapped or sovereign AI deployments
Background in defense, telecom, critical infrastructure, or regulated industries
Experience working with custom silicon, NPUs, GPUs, or AI accelerators
Familiarity with privacy-preserving AI techniques
Why Join SupportFinity
Design real-world AI systems that operate where cloud AI cannot
Work on cutting-edge AI deployed on secure hardware, not demos
Lead architecture for mission-critical, high-impact systems
Collaborate with a senior team building AI-native platforms from the ground up
Competitive compensation, meaningful ownership, and long-term growth