AI Solutions Architect

Job not on LinkedIn

🔥 10 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Empowers Staffing Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💼 Consulting

🎯 Recruiter

🤖 Artificial Intelligence

Consulting • Recruitment • Artificial Intelligence

Empowers Staffing Inc is presented in the provided content as (or appears to be represented by) a Minnesota-based IT consulting and staffing/ staff-augmentation provider. The webpage content largely corresponds to LAK Technology — a firm offering IT consulting and digital transformation services for small- to mid-size businesses, including software engineering (QA & testing, mobile apps, UI/UX, project management), data analytics and AI/ML, cloud migration and DevOps, custom solution development, and team extension/staff augmentation. The site lists a St. Paul, MN address and contact details and emphasizes workforce extension, bespoke software solutions, and data & cloud services.

📋 Description

• Design end-to-end AI system architectures across AWS, Azure, or GCP • Architect LLM-based solutions including RAG, embedding, vector search, and tool integrations • Define scalable inference and model hosting strategies • Lead design reviews and guide engineering teams through implementation • Establish governance, security, and compliance standards for AI systems • Design data pipelines and integration patterns for AI workloads • Evaluate model providers, frameworks, and cost-performance trade-offs • Define monitoring strategies for model performance, drift, and reliability • Present architectural recommendations to technical and non-technical stakeholders • Drive best practices for AI deployment and lifecycle management

🎯 Requirements

• 6+ years of experience in solution architecture or senior engineering roles • Strong cloud architecture experience in AWS, Azure, or GCP • Proven experience designing distributed systems • Experience with LLM applications and RAG architectures • Strong understanding of vector databases and embedding workflows • Experience integrating AI systems with enterprise APIs and data platforms • Experience with containerization (Docker) and scalable deployment patterns • Strong understanding of security, IAM, and data privacy considerations

🏖️ Benefits

• Health insurance • Retirement plans • Professional development