高级IT架构师 - 企业AI（洛斯阿尔姆斯，CA，美国）
Senior IT Architect - Enterprise AI (Los Alamitos, CA, US)
职位概述
高级技术架构师 – 企业AI 将定义并管理企业生成式AI应用、AI代理、知识解决方案和AI驱动的业务流程的技术架构。
该角色将建立安全、可扩展、可重用的架构模式，将AI功能与企业数据、API、知识和业务应用连接起来。架构师将从概念到生产提供技术领导，并与工程、数据、云/平台、网络安全、企业架构和业务团队紧密合作。
主要职责
- 定义并演进生成式AI应用和AI代理的企业参考架构。
- 设计RAG、对话式AI、企业搜索、代理工作流和AI驱动的应用架构。
- 建立模型访问、模型网关、提示/上下文管理、嵌入、向量/语义搜索、知识检索和代理编排的可重用模式。
- 设计安全的集成模式，将AI代理与企业应用、API、数据、工具、事件和工作流服务连接。
- 定义AI代理和高风险操作的身份验证、授权、人工介入和审批模式。
- 建立AI安全、评估、可观测性、追踪、可审计性、弹性、性能和成本管理的标准。
- 评估AI模型、平台、框架和新兴技术，并推荐适当的企业标准。
- 开发参考架构、可重用组件、技术标准、架构图和参考实现。
- 进行架构和技术设计评审，并为开发团队提供技术领导。
- 与安全、隐私、数据治理和负责任AI团队合作，将适当的控制措施嵌入AI解决方案中。
- 确保架构可扩展、可维护、以API为中心、松耦合，并在适当的情况下具备模型/供应商无关性。
任职要求
- 计算机科学、工程、信息系统或相关技术领域的学士学位，或同等的相关专业经验。
- 10年以上软件、解决方案、云或企业架构经验，包括现代云原生应用。
- 对生成式AI、基于LLM的应用、RAG、嵌入、语义/向量搜索和企业知识检索有深入理解。
- 有设计AI代理/自动化工作流的经验。
查看英文原文
Position Summary
The Senior Technical Architect – Enterprise AI will define and govern the technical architecture for enterprise Generative AI applications, AI agents, knowledge solutions, and AI-enabled business processes.
This role will establish secure, scalable, reusable architecture patterns connecting AI capabilities with enterprise data, APIs, knowledge, and business applications. The architect will provide technical leadership from concept through production and partner closely with engineering, data, cloud/platform, cybersecurity, enterprise architecture, and business teams.
Key Responsibilities
- Define and evolve the enterprise reference architecture for Generative AI applications and AI agents.
- Design architectures for RAG, conversational AI, enterprise search, agentic workflows, and AI-enabled applications.
- Establish reusable patterns for model access, model gateways, prompt/context management, embeddings, vector/semantic search, knowledge retrieval, and agent orchestration.
- Design secure integration patterns connecting AI agents with enterprise applications, APIs, data, tools, events, and workflow services.
- Define identity, authorization, human-in-the-loop, and approval patterns for AI agents and higher-risk actions.
- Establish standards for AI security, evaluation, observability, tracing, auditability, resiliency, performance, and cost management.
- Evaluate AI models, platforms, frameworks, and emerging technologies and recommend appropriate enterprise standards.
- Develop reference architectures, reusable components, technical standards, architecture diagrams, and reference implementations.
- Conduct architecture and technical design reviews and provide technical leadership to development teams.
- Partner with Security, Privacy, Data Governance, and Responsible AI teams to embed appropriate controls into AI solutions.
- Ensure architectures are scalable, maintainable, API-driven, loosely coupled, and model/provider agnostic where appropriate.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent relevant professional experience.
- 10+ years of software, solution, cloud, or enterprise architecture experience, including modern cloud-native applications.
- Strong understanding of Generative AI, LLM-based applications, RAG, embeddings, semantic/vector search, and enterprise knowledge retrieval.
- Experience designing AI agent/agentic architectures, including tool calling, context management, orchestration, memory, and human approval.
- Strong experience with APIs, microservices, event-driven architecture, integration patterns, and identity/access management.
- Experience with Python and/or modern application-development technologies and the ability to provide technical guidance to engineering teams.
- Strong understanding of structured and unstructured data architectures.
- Experience with cloud security including IAM, secrets management, encryption, logging, monitoring, and secure API integration.
- Experience translating complex business requirements into secure, scalable, production-ready technical architectures.
- Strong technical communication, architecture documentation, and stakeholder-management skills.
Preferred Qualifications
- Master's degree in Computer Science, Engineering, AI/Data Science, or related discipline.
- Experience with Azure OpenAI/OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, or comparable enterprise AI platforms.
- Experience with AI agent frameworks, orchestration technologies, model gateways, and AI evaluation/observability tools.
- Experience with Snowflake and modern data-cloud/AI platforms.
- Experience integrating AI with enterprise platforms such as Salesforce, SAP, Oracle, ServiceNow, or comparable systems.
- Knowledge of knowledge graphs, semantic layers, data catalogs, and enterprise search.
- Experience establishing AI architecture standards, reference architectures, or reusable AI platforms within a large enterprise.
- Relevant cloud, architecture, security, or AI certifications are a plus.
Location & Working Hours
- Remote: candidate must be physically located within the United States.
- Regular working hours are 8:30 AM–5:30 PM Pacific Time, with consistent availability during these hours.
Success Measures
Success will be measured by the ability to establish a secure, scalable, reusable enterprise AI architecture that accelerates AI delivery across business domains while improving consistency, security, reliability, and maintainability and reducing duplicated technology and technical debt.
Employee Benefits
In addition to joining a team of dedicated professionals who support each other and are passionate about their work, you’ll also enjoy a variety of attractive, industry-leading benefits.
- Comprehensive medical, dental, vision, and prescription drug coverage eligibility on start date
- Generous paid time off, including sick time, vacation, and holidays
- Income protection plans, including life insurance and short-term and long-term disability programs paid by the company
- 401K plan with company matching
- Educational reimbursement, employee assistant program (EAP), adoption assistance, employee discounts and much more
The starting hourly base pay for this role is between USD $89.93 and $109.92 (equivalent to $187,054 to $228,633 per year based on 2,080 hours). Please note that this position’s salary range may include multiple levels. The actual base is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.
Epson America, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability and protected veteran status, as well as any other characteristic protected by federal, state or local laws.
Originally posted on Himalayas