AI Engineer

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Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award. The Work At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs. Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale. The AI Engineer develops and operationalizes AI, machine learning, NLP, predictive analytics, and generative AI capabilities that accelerate data-driven decision making across the enterprise. This role builds reusable AI/ML solutions, model deployment frameworks, prompt orchestration patterns, agentic workflows, and MLOps pipelines leveraging Databricks ML, Azure Machine Learning, MLflow, Python, and cloud-scale data platforms. Working across engineering, governance, security, and business teams, the AI Engineer enables the adoption of AI at scale through model monitoring, performance evaluation, human-in-the-loop workflows, cost optimization, and responsible AI practices that ensure solutions are trusted, governed, and production-ready. Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC. *If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections. What You Will Do: Develops NLP, text analytics, prompt orchestration, guardrails, content-filtering approaches, and human-in-the-loop workflows using VA-approved AI/ML tools and data environments. Translates unstructured-data use cases into repeatable technical patterns that address privacy, provenance, evaluation, monitoring, and operational integration. Works with Trustworthy AI, Security, Data Governance, and Customer Experience personnel to ensure generative-AI capabilities are safe, useful, and governed. Apply NLP, LLM/GenAI patterns, prompt orchestration, retrieval/evaluation patterns, guardrails, content filters, human-in-the-loop workflows, and Azure AI to support role delivery. Collaborate with relevant product, engineering, security, governance, quality, and customer-facing stakeholders as required by the role. Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement. Basic Qualifications U.S. Citizenship is required due to federal contract requirements. Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years. Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field; Master's degree may substitute for two (2) years of relevant experience. 6+ years of designing, developing, and deploying AI/ML solutions in enterprise cloud environments. Preferred Qualifications Hands-on experience with large language models (LLMs), generative AI, natural language processing (NLP), retrieval-augmented generation (RAG), semantic search, vector databases, and prompt engineering techniques. Experience building

请注意，本职位取决于合同授予情况。虽然这不是一个立即空缺的职位，但我们正在积极进行面试并发出录用通知，以预期合同授予。工作内容在ICF，我们的数字现代化部门是一个信息技术和管理咨询组织，为联邦客户提供集成的战略解决方案。我们带来云、网络安全、企业架构、数据现代化和数字化转型方面的专业知识，以支持关键任务的政府项目。加入一个加速大型联邦机构企业数据和分析生态系统现代化的团队。这个基于云的平台提供数据存储、分析、治理和AI/ML能力，使数千名用户能够将数据转化为可操作的洞察。随着需求持续增长，团队专注于迁移遗留工作负载、简化入门和支持、扩展平台能力，并帮助整个企业中的组织大规模采用现代数据和AI解决方案。AI工程师开发并运营AI、机器学习、NLP、预测分析和生成式AI能力，加速整个企业中数据驱动的决策。该角色构建可复用的AI/ML解决方案、模型部署框架、提示编排模式、代理工作流和MLOps管道，利用Databricks ML、Azure Machine Learning、MLflow、Python和云规模数据平台。与工程、治理、安全和业务团队协作，AI工程师通过模型监控、性能评估、人在回路工作流、成本优化和负责任AI实践，确保解决方案可信、受治理且可投入生产，从而实现AI的大规模采用。工作地点：远程，但强烈偏好居住在Washington DC Metro Area的候选人。将偶尔在Washington, DC的客户现场进行现场会议。*如果您接受此职位，您应注意ICF确实监控员工工作地点，阻止从外国地点/外国IP地址访问，并禁止个人VPN连接。您将做什么：使用VA批准的AI/ML工具和数据环境，开发NLP、文本分析、提示编排、护栏、内容过滤方法和人在回路工作流。将非结构化数据用例转化为可复用的技术模式，解决隐私、来源、评估、监控和运营集成问题。与Trustworthy AI、安全、数据治理和客户体验人员合作，确保生成式AI能力安全、有用且受治理。应用NLP、LLM/GenAI模式、提示编排、检索/评估模式、护栏、内容过滤器、人在回路工作流和Azure AI来支持角色交付。根据角色要求，与相关产品、工程、安全、治理、质量和面向客户的利益相关者协作。记录工作产品、决策、风险和交付证据，以支持可追溯性和持续改进。基本资格由于联邦合同要求，需要美国公民身份。候选人必须居住在美国，获准在美国工作，且所有工作必须在美国境内执行。候选人必须在过去五（5）年中至少有整整三（3）年居住在美国。计算机科学、数据科学、人工智能、机器学习、软件工程或相关领域的学士学位；硕士学位可替代两（2）年相关经验。6年以上在企业云环境中设计、开发和部署AI/ML解决方案的经验。首选资格具有大型语言模型（LLM）、生成式AI、自然语言处理（NLP）、检索增强生成（RAG）、语义搜索、向量数据库和提示工程技术的实践经验。具有构建经验

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