AI Engineer

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $114.6k - $252.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🎖️ Defense

🏛️ Government

🔒 Cybersecurity

🔥 Funding within the last year

💰 $500M Post-IPO Debt on 2026-02

Defense • Government • Cybersecurity

CACI International Inc is a U. S. -based government contractor that provides technologies and professional services to national security, defense, and federal civilian customers. CACI delivers solutions across cyber and digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems (C-UxS), space and optical communications, agile DevSecOps software development, and mission engineering and logistics support. The company positions itself as a large prime contractor that uses advanced software, analytics, sensing, and hardware to detect and counter evolving threats and modernize government technology architectures.

📋 Description

• Build, test, and support AI workflows and agents on an enterprise AI workflow management platform supporting the Department of the Air Force • Work with the AI Platform Architect to turn platform designs and government use cases into tested, production-ready solutions in Azure IL-5 cloud environments integrated with ServiceNow • Build within established frameworks, patterns, and tools, including Microsoft AI Foundry and third-party agentic platforms • Translate customer mission needs into working prototypes and deployed workflows • Develop RAG pipelines, including document ingestion, chunking, embedding, vector search, and retrieval tuning • Build prompt chains, tool calls, and agent logic for document generation, summarization, and task automation • Integrate AI workflows with Azure OpenAI, ServiceNow APIs, and internal data sources • Build reusable components, templates, and connectors for technical and non-technical users • Implement workflow orchestration and business process automation • Develop and execute unit, integration, and user acceptance test plans • Build evaluation datasets and automated evaluation harnesses for LLM outputs • Define and track success metrics and evaluation criteria • Identify, document, and triage defects, hallucinations, and performance issues; drive root-cause analysis and remediation • Perform regression testing when models, prompts, or platform components change • Partner with the AI Platform Architect to implement designs, evaluate tools, and provide feedback • Prototype solutions and proofs-of-concept for government use cases and present results to customers and stakeholders • Troubleshoot integration issues across Azure, ServiceNow, and government networks with ServiceNow developers and Azure cloud engineers • Contribute to design reviews, engineering standards, and technical documentation • Support technical screening of AI/ML talent when requested • Support monitoring, logging, and alerting for AI workflows and agents • Manage prompt and model versioning and support CI/CD deployments of AI services • Monitor output quality, model drift, and data quality in production workflows and report findings • Track model and compute usage costs and recommend optimizations • Build and operate within DISA STIGs, IL-5 requirements, and Department of the Air Force security policies • Implement CUI handling and data classification controls in AI workflows • Provide engineering evidence and documentation to cybersecurity teams for ATO and continuous monitoring

🎯 Requirements

• US Citizenship required • Ability to obtain and maintain a secret clearance • 15+ years of relevant experience • Bachelor’s Degree in a relevant field may be substituted for 5 years of relevant experience • Hands-on experience building LLM applications, including RAG, prompt engineering, and agentic workflows • Proficiency in Python, plus experience with LangChain, LlamaIndex, or similar AI frameworks • Experience with Azure cloud services, including Azure OpenAI, AI Foundry, DevOps, and API Management • Experience with Docker and REST API development and integration • Working knowledge of vector databases and embedding strategies • Experience with test automation and QA for software or AI systems • Experience with ServiceNow integration or scripting, including Flow Designer, REST APIs, or development • Ability to translate requirements into working solutions and communicate technical results to non-technical stakeholders • Familiarity with workflow orchestration tools and business process automation • Active Secret clearance (desired) • Top Secret eligibility (preferred) • Experience in government cloud environments, such as Azure Government or AWS GovCloud • Experience with Kubernetes or Azure Kubernetes Service (AKS) • Familiarity with DoD compliance frameworks, including IL-4/IL-5, FedRAMP, NIST 800-53, and STIGs • Experience with MLOps tools and practices, including MLflow, CI/CD for ML, and model monitoring • Experience with PostgreSQL and data modeling for AI workloads • Experience with ATO processes and security accreditation • Experience with ServiceNow Flow Designer or ServiceNow development certification • Sec+ certification

🏖️ Benefits

• 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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