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ResMed Logo ResMed · IT - Software Development

AI Solutions Architect Intern

United States, San Diego 23.25 - 42.75 USD / Hour · Job Posted February 18, 2026
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Job Description

We’re looking for an AI Solutions Architect Intern to help design and prototype AI-enabled solutions that deliver measurable value. You’ll work with business users, engineering, data science, security, and cloud/platform teams to translate business problems into scalable AI architectures. This internship is hands-on: you will contribute to reference architecture, proof-of-concepts, and implementation playbooks for real-world use cases.

Job Responsibility

  • Partner with stakeholders to gather requirements and translate them into AI solution designs and technical plans
  • Create end-to-end architecture diagrams for AI/ML and GenAI use cases (data ingestion → model → evaluation → deployment → monitoring)
  • Support building proof-of-concepts using modern AI tooling (LLMs, vector databases, prompt orchestration, model serving)
  • Help define best practices for model lifecycle: experimentation, evaluation, responsible AI, observability, and cost controls
  • Assist in designing secure, compliant architectures (PII handling, access controls, audit logging, data governance)
  • Document solution patterns, reusable components, and developer enablement materials
  • Present findings and demos to technical and non-technical audiences

Requirements

  • Ability to work full-time for 12 weeks during Summer 2026
  • program dates are May 18th – August 7th, 2026, OR June 15th – September 4th, 2026
  • Currently pursuing a BS/MS in Computer Science, Engineering, Data Science, or related field
  • Familiarity with Python and basic software engineering practices (Git, testing, APIs)
  • Understanding of core ML concepts (training vs inference, evaluation, overfitting, metrics)
  • Strong communication skills and ability to explain technical ideas clearly
  • Understanding of AI/ML concepts and algorithms
  • Strong problem-solving skills and ability to work in a fast-paced environment

Nice to have

  • Exposure to GenAI/LLMs (prompting, embeddings, RAG, evaluation techniques)
  • Security/privacy awareness (PII/PHI concepts, least privilege, threat modeling)
  • Portfolio showing technical projects (GitHub, blog, coursework, hackathons)
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