Job description

AI Developer The Role UST is searching for a mid-level AI Developer to help build and deploy agentic and multi-agent AI systems that power next-generation solutions across the healthcare payer space — spanning claims processing, clinical data, provider operations, and Medicare Advantage. What You’ll Do · 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 This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. What You Need · 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 · Preferred Qualifications: · 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 Location & Compensation Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below. Role Location: Remote-US Compensation Range: $82,000-$123,000 Who We Are Since 1999, UST has worked side by side with the world’s best companies to make a powerful impact through transformation. Headquartered in the United States, UST is powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients’ organizations—delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Benefits Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as 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. They 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. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. #UST #CB #LI-VK5 #LI-Remote

Requirements

Must-haves

AI Developer
What You’ll Do
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
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What You Need
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

Nice-to-haves

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)
Experience with vector databases, RAG pipelines, or LLM evaluation/observability tooling
Location & Compensation
Role Location: Remote-US
Compensation Range: $82,000-$123,000

Application prep

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Keywords to mirror

aiawspythonllmci/cdmlmachine learning

Platform: ust
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)