AI Platform Architect

🕒 Setembro 18

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $114.600 - $252.100 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🔙 Engenheiro Backend

👻 Score fantasma 0%

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CACI International Inc

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1962

🎖️ Defesa

🏛️ Governo

🔒 Cibersegurança

🔥 Investimento no último ano

💰 $500.000.000 Post-IPO Debt em 2026-02

Defense • Government • Cybersecurity

A CACI International Inc é uma empresa norte-americana contratada pelo governo que fornece tecnologias e serviços profissionais para clientes de segurança nacional, defesa e órgãos civis federais. A CACI oferece soluções em operações cibernéticas e digitais, modernização de TI corporativa, guerra eletrônica, sistemas contra veículos não tripulados (C-UxS), comunicações espaciais e ópticas, desenvolvimento de software ágil com DevSecOps e engenharia de missão e suporte logístico. A empresa se posiciona como uma grande prime contractor que utiliza software, analytics, sensoriamento e hardware avançados para detectar e neutralizar ameaças em evolução, além de modernizar as arquiteturas tecnológicas do governo.

Descrição

• Lead the design, implementation, and operation of an enterprise AI workflow management platform supporting the Department of the Air Force • Design cloud infrastructure for AI workflow management platforms in Azure IL-5 environments • Architect containerized solutions using AKS or similar platforms with IL-5 security controls • Design PostgreSQL data architectures optimized for AI workloads • Establish integrations for Azure OpenAI, ServiceNow APIs, and DISA BCAP cross-boundary connections • Evaluate and integrate AI development tools into a unified platform architecture • Design API gateways, authentication and authorization frameworks, and service mesh architectures • Establish RAG pipelines, vector databases, and embedding strategies • Create reference architectures for agentic workflows, document generation, and ML model deployment • Establish monitoring, logging, and alerting for platform health and AI service performance • Implement MLOps practices including model versioning, A/B testing, and automated retraining • Monitor model performance, drift detection, and data quality • Design disaster recovery and business continuity plans • Troubleshoot integration issues across Azure, ServiceNow, and government networks • Ensure platform scalability and cost optimization • Help build and lead an AI/ML engineering team • Participate in technical screening and onboarding • Establish engineering standards, best practices, and documentation • Foster collaboration among AI engineers, ServiceNow developers, and government stakeholders • Conduct design reviews and provide architectural guidance • Support cybersecurity teams with Department of the Air Force regulations, ATO requirements, and compliance frameworks • Implement DISA STIGs, Impact Level 5 requirements, CUI controls, and data classification requirements • Partner with government customers to translate mission requirements into technical solutions • Evaluate LLM capabilities for RAG, document generation, and agentic workflows • Develop prototypes and proof-of-concepts for government use cases • Establish QA frameworks covering model, integration, and user acceptance testing • Oversee QA processes and ensure AI output accuracy and reliability • Define success metrics and evaluation criteria for AI-driven workflows

🎯 Requisitos

• US Citizenship required • Must meet eligibility requirements for access to classified information and successfully obtain a Department of Defense (DoD) Secret Clearance and pass relevant background checks • 15+ years of relevant experience; a Bachelor’s Degree in a 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, including AI Foundry, DevOps, PostgreSQL, API Management, and networking • Experience with Docker, Kubernetes, microservices architectures, and VMs • Knowledge of LLM technologies, RAG architectures, vector databases, and prompt engineering • Experience with LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn, or other AI/ML frameworks • Understanding of API design, integration patterns, and enterprise service buses • Experience with MLOps tools and practices, including model versioning, monitoring, and CI/CD for ML • Experience working directly with customers and understanding mission requirements • Proficiency in Python and/or other AI development languages • Understanding of workflow orchestration tools and business process automation • Excellent communication skills and ability to translate technical concepts for non-technical stakeholders • Active Secret clearance preferred but not required • Experience in government cloud environments such as Azure Government or AWS GovCloud desired • Familiarity with DoD compliance frameworks, including IL-4/IL-5, FedRAMP, NIST 800-53, and STIGs desired • Understanding of DISA network architectures and cross-boundary connection requirements desired • Experience with ATO processes and security accreditation desired • ServiceNow platform experience desired

🏖️ Benefícios

• Flexible time off benefit • Robust learning resources • Healthcare benefits • Wellness benefits • Financial benefits • Retirement benefits • Family support benefits • Continuing education benefits • Time off benefits • Competitive compensation • Learning and development opportunities