Role description
Enterprise Architect (Java / .NET, Generative AI & Agentic AI)
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.
What You'll Do
• 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.
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
Required
• 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
• 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.
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
Compensation Range: $106,000 - $159,000
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.
As part of our recruitment process, UST may use AI or automated tools to support activities such as application screening, scheduling, or interview assistance. All hiring decisions are made by our recruitment team. Where applicable law requires it, further notice will be provided separately.
