远程工作雷达

AI平台架构师

AI Platform Architect

AI开发工程限定地区(需当地身份)
公司CACI International Inc
薪资$114,600 - $252,100/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位名称:AI 平台架构师
职位类别:信息技术
工作类型:全职
开始所需的最低保密等级:机密
员工类型:正式员工
所需出差比例:最多 10%
出差类型:本地

机会简介:
我们正在寻找一位经验丰富的 AI 平台架构师,负责设计、实施和运营一个企业级 AI 工作流管理平台,以支持空军部。该职位将在 Azure IL-5 云环境中构建解决方案,与 ServiceNow 集成,并使技术人员和非技术人员都能开发出增强关键政府服务的 AI 驱动型工作流。
您将负责在我们的 Azure 云隔离区建立可扩展、安全的 AI 平台,该平台连接到符合 DISA 要求的网络和 ServiceNow 实例。您将评估并集成多种 AI 工具,包括第三方代理平台、微软 AI Foundry 以及其他待定系统,同时帮助组建能够为政府客户提供生产就绪 AI 服务的团队。

职责:
平台架构与工程

  • 在 Azure IL-5 环境中设计和实现 AI 工作流管理平台的云基础设施
  • 使用 Azure Kubernetes Service (AKS) 或类似工具构建容器化解决方案,并配备适合 IL-5 合规性的安全控制
  • 设计数据架构,包括针对 AI 工作负载优化的 PostgreSQL 数据库解决方案
  • 建立 Azure OpenAI 服务、ServiceNow API 以及通过 DISA BCAP 的跨边界连接的集成模式
  • 评估并整合 AI 开发工具到统一平台架构中
  • 设计和实现 API 网关、身份验证/授权框架和服务网格架构
  • 建立 RAG(检索增强生成)流水线、向量数据库和嵌入策略
  • 创建代理工作流、文档生成和 ML 模型部署的参考架构
  • 运维与平台健康
  • 建立平台健康状况和 AI 服务性能的操作监控、日志记录和警报流程
  • 实施 MLOps 实践,包括模型版本控制、A/B 测试和自动化重新训练流水线
  • 监控 AI 模型性能、漂移检测和生产工作流中的数据质量
  • 为关键任务 AI 服务设计灾难恢复和业务连续性计划
  • 与 ServiceNow 和 Azure 云工程师合作
查看英文原文

Job Title: AI Platform ArchitectJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: SecretEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Local* * *The Opportunity:
We are seeking an experienced AI Platform Architect to lead the design, implementation, and operation of an enterprise AI workflow management platform supporting the Department of the Air Force. This role will architect solutions in Azure IL-5 cloud environments, integrate with ServiceNow, and enable both technical and non-technical users to develop AI-driven workflows that enhance mission-critical government services.
You will be responsible for establishing a scalable, secure AI platform within our Azure cloud enclave that connects to DISA-compliant networks and ServiceNow instances. You'll evaluate and integrate multiple AI tools including third-party agentic platforms, Microsoft AI Foundry, and additional systems to be determined, while helping to build a team capable of delivering production-ready AI services to government customers.
Responsibilities:
Platform Architecture & Engineering

  • Design and implement cloud infrastructure for AI workflow management platforms in Azure IL-5 environments
  • Architect containerized solutions using Azure Kubernetes Service (AKS) or similar with appropriate security controls for IL-5 compliance
  • Design data architecture including PostgreSQL database solutions optimized for AI workloads
  • Establish integration patterns for Azure OpenAI services, ServiceNow APIs, and cross-boundary connections via DISA BCAP
  • Evaluate and integrate AI development tools into unified platform architecture
  • Design and implement API gateways, authentication/authorization frameworks, and service mesh architectures
  • Establish RAG (Retrieval-Augmented Generation) pipelines, vector databases, and embedding strategies
  • Create reference architectures for agentic workflows, document generation, and ML model deployment.
  • Operations & Platform Health.
  • Establish operational monitoring, logging, and alerting procedures for platform health and AI service performance
  • Implement MLOps practices including model versioning, A/B testing, and automated retraining pipelines
  • Monitor AI model performance, drift detection, and data quality across production workflows
  • Design disaster recovery and business continuity plans for mission-critical AI services
  • Work with ServiceNow and Azure cloud engineers to troubleshoot complex integration issues across Azure, ServiceNow, and government networks
  • Ensure platform scalability and cost optimization within government budget constraints

Team Leadership & Development

  • Help build and lead a team of AI/ML engineers, providing direction toward identified objectives and technical oversight
  • Participate in technical screening and onboarding of AI/ML talent
  • Establish engineering standards, best practices, and documentation for AI development
  • Foster collaboration between AI engineers, ServiceNow developers, and government stakeholders
  • Conduct design reviews and provide architectural guidance to engineering teams
  • Promote a culture of innovation, experimentation, and continuous improvement

Government & Compliance Navigation

  • - Support cybersecurity teammates in navigating Department of the Air Force regulations, Authority to Operate (ATO) requirements, and compliance frameworks
  • - Work within DISA Security Technical Implementation Guides (STIGs) and Impact Level 5 requirements
  • - Coordinate with cybersecurity security teams for accreditation and continuous monitoring
  • - Understand and implement controls for CUI (Controlled Unclassified Information) and data classification requirements

Use Case Development & QA

  • - Partner with government customers to understand mission requirements and translate into technical solutions
  • - Evaluate LLM capabilities (GPT-5+, IL-5-approved alternatives) for specific use cases including RAG, document generation, and agentic workflows
  • - Respond to real-world government use cases with prototype solutions and proof-of-concepts
  • - Establish QA frameworks for AI services including model testing, integration testing, and user acceptance testing
  • - Oversee quality assurance processes or manage QA specialists ensuring AI output accuracy and reliability
  • - Define success metrics and evaluation criteria for AI-driven workflows.

Qualifications:
Required:

  • - US Citizenship required
  • - Must meet eligibility requirements for access to classified information and be successfully in obtain to a Department of Defense (DoD) Secret Clearance and pass all relevant background checks for a security clearance.
  • - Active DoD clearance preferred but not required.
  • - 15+ Years of relevant experience (Bachelor’s Degree in relevant field may be substituted for 5 years of relevant experience).
  • -Experience converting real-life use cases into deployable AI/ML solutions
  • - Strong expertise in Azure cloud services (AI Foundry, DevOps, PostgreSQL, API Management, networking)
  • - Proven experience with containerization (Docker, Kubernetes), microservices architectures, and VMs
  • - Deep knowledge of LLM technologies, RAG architectures, vector databases, and prompt engineering
  • - Hands-on experience with AI/ML frameworks (LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn, other)
  • - Strong understanding of API design, integration patterns, and enterprise service buses
  • - Experience with MLOps tools and practices (model versioning, monitoring, CI/CD for ML)
  • - Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
  • - Experience working directly with customers and understanding mission requirements
  • - Proficiency in Python and/or other languages commonly used in AI development
  • - Understanding of workflow orchestration tools and business process automation

Desired:

  • - Active Secret clearance (Top Secret eligibility preferred)
  • - Experience working in government cloud environments (Azure Government, AWS GovCloud, or similar)
  • - Familiarity with DoD compliance frameworks (IL-4/IL-5, FedRAMP, NIST 800-53, STIGs)
  • - Understanding of DISA network architectures and cross-boundary connection requirements
  • - Experience with Authority to Operate (ATO) processes and security accreditation
  • - Experience with ServiceNow platform (integration, Flow Designer, or development preferred).

-What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$114,600-$252,100CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
Originally posted on Himalayas

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