AI Architect Intern

Are you interested in harnessing technology and AI to transform healthcare?

At XiFin, we believe a healthier, more efficient healthcare system starts with strong financial and operational foundations. Our innovative technologies help diagnostic providers, laboratories, and healthcare systems manage complexity, drive better outcomes, and stay focused on what matters most: patient care.

We're on a mission to simplify the business side of healthcare-and we know that mission takes people from all backgrounds and experiences. Whether you're early in your career or bringing years of expertise, we welcome your perspective, your curiosity, and your passion. We value individuals who ask questions, challenge the status quo, and want to grow while making a real difference.

One of the ways we are achieving this is through our XiFin Internship Program. The Internship Program is designed to empower, educate, and inspire the next generation of talent by providing meaningful hands‑on experience, professional development, and direct exposure to the real impact of our work. Our mission is to create an environment where interns build the skills, confidence, and connections needed to excel in their careers-while contributing to projects that support XiFin's mission of improving healthcare financial performance.

This is a 10-week structured program beginning on June 15, 2026, and ending August 21, 2026. This will be part-time (up to 29 hours/week).

About the role:

The AI Architect Intern will support the design and planning of scalable, secure, and production‑ready AI systems used across XiFin's enterprise healthcare revenue cycle workflows. This role emphasizes system‑level thinking-working at the intersection of machine learning models, large language models (LLMs), agentic AI workflows, data pipelines, APIs, and cloud infrastructure.

Working alongside engineering and data teams, the intern will help translate business requirements into well‑structured AI architecture designs that are reliable, governed, and deployable ponsibilities may include assisting with system diagrams, integration patterns, data flow design, model lifecycle planning, and the evaluation of MLOps and LLMOps approaches for production environments.

This internship is ideal for students interested in how complex AI systems are architected-from initial design through deployment-and who want to develop the foundational skills needed to build safe, governed, enterprise‑grade AI solutions.

What does the position pay?

The hourly compensation for this role is $25.00 for graduate students.

How you will make an impact:

In this role, you'll:

* Assist in designing end‑to‑end AI system architectures (including ML, GenAI, and Agentic AI components).

* Support workflow orchestration design for multi‑step AI processes.

* Contribute to data flow diagrams, API specifications, and system integration plans.

* Help define strategies for AI evaluation, monitoring, and guardrails.

* Participate in cloud architecture design discussions (AWS or Azure).

* Support containerization and deployment strategy planning for AI services.

* Analyze trade‑offs between performance, scalability, security, and cost.

* Document architecture decisions and present findings to technical stakeholders.

This is an onsite position at our office in San Diego, CA.

What you will bring to the team:

A combination of the following education and experience factors will be considered:

* Currently pursing a master's degree in Computer Science, AI, Engineering, or related field

* Strong understanding of software engineering principles

* Familiarity with machine learning and LLM fundamentals

* Basic knowledge of cloud computing concepts

* Experience with cloud platforms (AWS or Azure) preferred

* Exposure to microservices or distributed systems preferred

* Familiarity with APIs, Docker, or Kubernetes preferred

What Interns can Expect:

The XiFin Internship Program is a structured 10-week summer experience that offers students the opportunity to work alongside industry professionals in technical, business and operational areas across the organization. Interns participate in department-specific projects while taking part in a…