Enterprise Architect

About the role

UST is seeking a senior Enterprise Architect with healthcare payer background to define and lead the architecture of large-scale, mission-critical enterprise systems and bring Generative AI and Agentic AI solutions into the enterprise landscape. The ideal candidate has deep Java or .NET platform expertise, a track record of architecting distributed systems at enterprise scale, and hands-on understanding of LLM-based applications, retrieval-augmented generation (RAG), and autonomous agent frameworks. This role works with business leaders, engineering teams, and security and data governance functions to turn AI capability into governed, secure, and scalable production systems.

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.

Responsibilities

• Define enterprise reference architectures, target-state designs, and technology roadmaps spanning application, integration, data, and infrastructure layers.
• Architect modernization programs, including monolith decomposition, migration to microservices, and cloud-native transformation on Azure, AWS, or GCP.
• Lead the design of Generative AI solutions, such as LLM-powered applications, RAG pipelines, vector search, prompt management, and model evaluation frameworks.
• Design Agentic AI systems, including multi-agent orchestration, tool and function calling, memory and state management, human-in-the-loop controls, and guardrails.
• Establish architecture governance, including design standards, patterns, review boards, and architecture decision records (ADRs).
• Evaluate build-versus-buy decisions for AI platforms, model providers, orchestration frameworks, and MLOps/LLMOps tooling.
• Ensure security, privacy, compliance, and responsible AI practices are embedded in solution design, including data residency, PII handling, access control, and output monitoring.
• Partner with delivery leads, product owners, and client stakeholders to translate business objectives into technical architecture and realistic delivery plans.
• Mentor solution architects, tech leads, and engineers, and build internal capability in AI engineering.
• Assess and communicate technical risk, cost, and performance trade-offs to executive audiences.

Requirements

• 15 to 18 years of experience in software engineering and architecture, with at least 5 years in an enterprise architect or principal-level role.
• Strong expertise in Java (Spring Boot, Jakarta EE, microservices) or .NET (C#, ASP.NET Core, Entity Framework). Experience with both is a plus.
• Proven experience designing distributed, high-throughput, fault-tolerant systems using event-driven architecture, messaging (Kafka, RabbitMQ, Azure Service Bus), and API management.
• Hands-on working knowledge of Generative AI, including LLM APIs (OpenAI, Azure OpenAI, Anthropic, Google, or open-source models), prompt engineering, embeddings, and RAG.
• Working knowledge of Agentic AI frameworks and patterns (for example, LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent), including tool use, planning, and agent evaluation.
• Experience with vector databases (Azure AI Search, Pinecone, Weaviate, pgvector, or similar) and data platforms supporting AI workloads.
• Solid cloud architecture experience on at least one major provider, with containers, Kubernetes, and infrastructure-as-code.
• Strong understanding of enterprise security (OAuth2, OIDC, zero trust, secrets management) and AI-specific risks such as prompt injection, data leakage, and model misuse.
• Excellent written and verbal communication skills, with the ability to present to CxO and steering committee audiences.

Preferred qualifications

• Experience in regulated industries such as banking, insurance, healthcare, or telecom.
• Familiarity with MLOps/LLMOps practices, model monitoring, and evaluation tooling.
• Contributions to open-source projects, published articles, or speaking engagements on AI or architecture.

Pay

Compensation range: $106,000 - $159,000. Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience.

Schedule

Role location: Remote.

Benefits

• Full-time, regular employees accrue a minimum of 10 days of paid vacation per year.
• 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
• 10 paid holidays.
• Paid bereavement leave and jury duty.
• Eligible to participate in the Company's 401(k) Retirement Plan with employer matching.
• Medical, dental, and vision insurance for employees and their dependents residing in the US.
• Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.
• Option to purchase additional voluntary short-term disability benefits.
• Health Savings Account (HSA) and 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) 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) 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).
• 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.

Skills

• Java
• AWS
• Google Cloud Platform
• Enterprise Architecture
• Kubernetes
• LLMs
• Software Design
• Solutioning
• Azure Service Bus
• Azure AI Search