Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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
- Establish best practices for MLOps, deployment, and lifecycle management
- Build reusable templates, patterns, and architectural guidelines
- Support benchmarking, model evaluation, and optimization
- 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
- Ensure architectural alignment with security, compliance, and operational standards
- Conduct risk assessments, reviews, and documentation of architecture decisions
- 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
Key Skills
Ranked by relevanceReady to apply?
Join Tarjama& and take your career to the next level!
Application takes less than 5 minutes

