AI Developer

UST is hiring a mid-level AI Developer to build and deploy agentic and multi-agent AI systems for healthcare payer solutions. The role focuses on developing AI applications and data pipelines, operating them securely in a regulated healthcare environment, and collaborating with engineering, product, and compliance teams.

Responsibilities

Design, build, and deploy agentic and multi-agent AI applications using AWS AgentCore, including agent orchestration, tool-calling, memory, and multi-step reasoning workflows

Develop production-grade Python services and pipelines that integrate LLM-based agents with internal systems and healthcare payer data domains (claims, clinical, provider, Medicare Advantage)

Build and maintain data pipelines and feature/data access layers on Databricks and Snowflake to support agentic workflows and downstream AI applications

Implement data security, access control, PHI/PII handling, and audit-logging practices appropriate for a regulated healthcare environment (HIPAA and related compliance frameworks)

Deploy, monitor, and operate AI services on AWS, following enterprise practices for CI/CD, observability, scalability, and cost management

Collaborate with data engineers, ML engineers, product owners, and compliance/security stakeholders to translate business requirements into secure, production-ready agentic solutions

Write clean, well-tested, maintainable code and contribute to internal standards and reusable components for agent development

Troubleshoot and resolve issues across the AI application stack, from agent logic and prompt/tool design to data access and infrastructure

Preferred

Familiarity with the healthcare payer domain (claims, clinical data, provider data, or Medicare Advantage)

AWS Certification (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning, or equivalent)

Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional or equivalent)

Prior experience in healthcare, health insurance, or another regulated industry (financial services, government) with exposure to HIPAA, SOC 2, or similar compliance frameworks

Experience with vector databases, RAG pipelines, or LLM evaluation/observability tooling

Healthcare Payer Domain

Claims Data

Clinical Data

Provider Data

Medicare Advantage

AWS Certification

Databricks Certification

Healthcare Industry Experience

Health Insurance Experience

Regulated Industry Experience

HIPAA Compliance

SOC 2 Compliance

Vector Databases

RAG Pipelines

LLM Evaluation

LLM Observability

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year.

Full-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

Full-time, regular employees receive 10 paid holidays.

Full-time, regular employees are eligible for paid bereavement leave and jury duty.

Full-time, regular employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.

Full-time, regular employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Full-time, regular employees receive Company-paid Employee Only basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.

Full-time, regular employees may purchase additional voluntary short-term disability benefits.

Full-time, regular employees may participate in a Health Savings Account (HSA) and a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines.

Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching.

Full-time temporary employees and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

Company

Global digital transformation solutions provider

Aliso Viejo, California, USA

https://www.ust.com/

Founded in 1999

10001+ employees

Qualifications

2–4 years of professional software/AI development experience, including hands-on work building agentic or multi-agent AI systems (LLM orchestration, tool use, RAG, or similar)

Practical experience with AWS AgentCore or comparable agent-orchestration frameworks, and a solid working knowledge of core AWS services (compute, storage, IAM, networking)

Strong proficiency in Python, including experience building APIs/services and integrating with LLM frameworks and cloud SDKs

Experience working with Databricks and/or Snowflake for data access, transformation, or pipeline development

Understanding of data security fundamentals — encryption, access controls, secrets management, and secure data handling — and comfort operating within a regulated, compliance-driven enterprise environment

Solid understanding of software engineering fundamentals: version control, testing, code review, and CI/CD practices

Strong communication skills and the ability to work cross-functionally with engineering, data, product, and compliance teams

Familiarity with the healthcare payer domain (claims, clinical data, provider data, or Medicare Advantage)

AWS Certification (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning, or equivalent)

Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional or equivalent)

Prior experience in healthcare, health insurance, or another regulated industry (financial services, government) with exposure to HIPAA, SOC 2, or similar compliance frameworks

Experience with vector databases, RAG pipelines, or LLM evaluation/observability tooling

Required skills

Agentic AI, Multi-Agent Systems, AWS AgentCore, AWS, Python, API Development, LLMs, Databricks, Snowflake, Data Security, CI/CD, Healthcare Payer Domain

Experience

2+ years