AI Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Create comprehensive AI system architectures utilizing AWS, Azure, or GCP.

• Develop solutions based on LLM, including RAG, embedding, vector search, and tool integrations.

• Establish scalable strategies for model inference and hosting.

• Lead design reviews and assist engineering teams during the implementation phase.

• Set up governance, security, and compliance standards for AI systems.

• Design data pipelines and integration patterns tailored for AI workloads.

• Assess model providers, frameworks, and evaluate cost-performance trade-offs.

• Create monitoring strategies to track model performance, drift, and reliability.

• Communicate architectural proposals to both technical and non-technical stakeholders.

• Promote best practices for AI deployment and lifecycle management.

⛳️ Requirements

• Over 6 years of experience in solution architecture or senior engineering positions.

• Extensive cloud architecture expertise in AWS, Azure, or GCP.

• Demonstrated experience in designing distributed systems.

• Familiarity with LLM applications and RAG architectures.

• In-depth understanding of vector databases and embedding workflows.

• Experience in integrating AI systems with enterprise APIs and data platforms.

• Proficient with containerization (Docker) and scalable deployment strategies.

• Strong knowledge of security, IAM, and data privacy considerations.

🏝️ Benefits

• Health insurance

• Retirement plans

• Professional development