AI Architect

Job Title: AI Architect

Location: Argentina (Remote)

Job Type: Fulltime

Need strong candidate in below skills:

• AI and RAG Concepts
• production-grade RAG delivery experience
• Cloud experience in Azure
• AI and AI evaluation frameworks
• LLM

Key Responsibilities

Design and implement end-to-end AI architecture for scalable and high-performance applications.

Define and enforce architecture standards, design patterns, and best practices for AI solutions.

Lead the technical design and architecture discussions for AI platforms and machine learning pipelines.

Collaborate with data scientists, data engineers, and software engineers to translate business requirements into AI solutions.

Architect data pipelines, model training workflows, model deployment, and monitoring frameworks.

Provide technical leadership and mentorship to engineering teams and guide them on AI best practices.

Ensure AI solutions are secure, scalable, maintainable, and production-ready.

Work with stakeholders to define AI strategy, roadmaps, and solution architectures.

Evaluate and integrate emerging AI technologies, tools, and frameworks.

Ensure proper documentation of architecture, technical decisions, and design artifacts.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience in software development or system architecture with strong experience in AI solutions.
• Proven experience in system architecture and enterprise-level solution design.
• Strong experience with software design patterns and architectural patterns.
• Experience leading technical teams and mentoring engineers.
• Excellent English communication and stakeholder management skills.
• Experience working in agile development environments.

Technical Skills

• Strong experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with Python or other programming languages used for AI development.
• Knowledge of LLMs, Generative AI, NLP, and Computer Vision is highly desirable.
• Experience designing microservices-based architectures and API-driven systems.
• Familiarity with MLOps, model deployment, monitoring, and lifecycle management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data engineering concepts, data pipelines, and distributed systems.

Key Competencies

• Strong problem-solving and analytical thinking.
• Ability to handle team
• Ability to translate complex business problems into AI-driven solutions.
• Strong leadership and team collaboration skills.
• Ability to work independently in a remote environment.