Remote AI Solutions Architect: Enterprise LLM & MLOps Lead

MARICI Solutions Inc.; United States; À distance; USD 150 000 - 210 000; Plein temps

Résumé du poste

MARICI Solutions Inc. is seeking an AI Solution Architect to lead end-to-end AI architecture and delivery for AI-native solutions. You will collaborate with stakeholders, data teams, and engineering to translate requirements into scalable, secure AI architectures and governance frameworks.

You will provide guidance on cutting-edge AI models, LLMs, and best practices, ensuring production-grade deployments and alignment with enterprise standards across programs.

Qualifications

• Proven experience in designing and delivering enterprise AI solutions.
• Ability to translate business requirements into scalable AI architectures.
• Hands-on with ML, DL, and LLM-based approaches.
• Knowledge of current AI models, risks, and governance.

Responsabilités

• Lead architecture and technical roadmap for AI solutions aligned to business strategy.
• Translate requirements into scalable AI architectures across data, model, and integration layers.
• Evaluate and integrate latest AI models and LLMs into enterprise apps and workflows.
• Define reference architectures, standards, and reusable components for AI delivery.
• Collaborate with data engineers, MLOps, and product teams for production-grade deployments.
• Ensure non-functional requirements like performance, security, and observability are met.
• Conduct PoCs and assessments for new AI use cases and guide best practices.
• Provide architectural leadership and mentorship to project teams.

Connaissances

AI architecture

LLMs & AI models

Cloud AI platforms

Data & MLOps

APIs & microservices

Architecture artifacts

Stakeholder leadership

Responsible AI

Vector databases

Kubernetes

MLOps tooling

Multi-tenant cloud

Formation

Bachelor or Master in CS/IT/Engineering

Outils

Azure AI

AWS AI/ML

Google Cloud AI

Description du poste

MARICI Solutions Inc. is seeking an AI Solution Architect to lead end-to-end AI architecture and delivery for AI-native solutions. You will collaborate with stakeholders, data teams, and engineering to translate requirements into scalable, secure AI architectures and governance frameworks.

You will provide guidance on cutting-edge AI models, LLMs, and best practices, ensuring production-grade deployments and alignment with enterprise standards across programs.