AI Platform Architect

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $114 600 - $252 100 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

🔙 Ingénieur Back-end

👻 Score fantôme 11%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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CACI International Inc

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1962

🎖️ Défense

🏛️ Gouvernement

🔒 Cybersecurity

🔥 Financement dans la dernière année

💰 €500 000 000 Post-IPO Debt en 2026-02

Defense • Government • Cybersecurity

CACI International Inc est un prestataire américain de services et de technologies pour le gouvernement, qui accompagne les acteurs de la sécurité nationale, de la défense et de l’administration fédérale. CACI propose des solutions dans les domaines des opérations cyber et digitales, de la modernisation de l’IT d’entreprise, de la guerre électronique, des systèmes de lutte contre les systèmes sans équipage (C-UxS), des communications spatiales et optiques, du développement logiciel agile en DevSecOps, ainsi que de l’ingénierie de mission et du soutien logistique. L’entreprise se positionne comme un grand contractant principal qui s’appuie sur des logiciels, des outils d’analytique, des technologies de détection et du hardware avancés pour identifier et contrer l’évolution des menaces et moderniser les architectures technologiques gouvernementales.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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