AI Solutions Architect Intern

ResMed • San Diego, CA

1d • $23 - $43 • Hybrid

About The Position

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency. 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. What You’ll Do (Responsibilities) 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. This is preferred to be a hybrid role located at our ResMed headquarters in San Diego, CA. We are also open to remote candidates. Employer will not sponsor applicants for employment visa status. What You’ll Learn How enterprise AI solutions are designed for scalability, reliability, and security. How to evaluate GenAI approaches (RAG vs. fine-tuning vs. tools/agents). How to measure and monitor model performance (quality, drift, latency, cost). How to communicate architecture tradeoffs and influence implementation choices. Basic Qualifications (Required Skill/Experience): 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. Preferred Qualifications 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). Pay Range: Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations. We are shaping the future at ResMed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world’s best talent. All Interns will be hired through our staffing provider partner and will not be a direct employee of ResMed, your Recruiter will provide more details. Individual pay decisions will be made by our staffing provider partner and are based on a variety of factors, such as the candidate’s geographic work location, relevant qualifications, work experience, and skills. Pay Range for this position: $23.25 - $42.75/hour, depending on experience & job classification Equal Opportunity Employer ResMed is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. #techintern Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant. Resmed (NYSE:RMD, ASX: RMD) creates life-changing health technologies that people love. We’re relentlessly committed to pioneering innovative technology to empower millions of people in more than 140 countries to live happier, healthier lives. Our AI-powered digital health solutions, cloud-connected devices and intelligent software make home healthcare more personalized, accessible and effective. Ultimately, Resmed envisions a world where every person can achieve their full potential through better sleep and breathing, with care delivered in their own home. Learn more about how we’re redefining sleep health at Resmed.com and follow @Resmed.

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 Haves

• 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).

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern