New 
Technology Management I- Enterprise Architect - AI/Data
 Equiliem | |
 United States, D.C., Washington | |
 Sep 10, 2025 | |
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Enterprise Architect - AI/Data Washington, DC (5 days a week on-site) Public Trust You will use your deep knowledge of enterprise architecture principles, AI technologies, and data management practices to guide decision-making and ensure that the architecture supports business objectives and enhances operational capabilities.
Key Responsibilities: * Design and develop end-to-end AI and data architectures that support business goals, ensuring scalability, performance, security, and maintainability. * Create architectural blueprints and roadmaps that guide the integration of AI and data solutions across the organization. * Lead the development and implementation of data platforms and AI-driven systems that facilitate advanced analytics, machine learning, and automation. * Define AI strategy and guide its implementation across business units, ensuring alignment with business objectives. * Oversee the deployment and integration of AI models, tools, and technologies into production systems. * Design and implement scalable cloud-based and on-premises data architectures using platforms like Azure, AWS, or Google Cloud. * Work with big data technologies (e.g., Hadoop, Spark) and data lake architectures to ensure the organization's data can be ingested, processed, and analyzed at scale. * Manage the integration of AI models and algorithms into big data platforms and ensure the appropriate handling of structured and unstructured data. * Work closely with business and technical teams to understand business needs and translate them into architectural solutions that leverage AI and data analytics. * Stay current with the latest advancements in AI, machine learning, data technologies, and architecture best practices. * Lead the adoption and implementation of emerging AI technologies, ensuring the organization remains competitive and innovative. * Assess and mitigate risks associated with data and AI architectures, ensuring secure handling of sensitive and confidential data. Qualifications: * Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. * 7+ years of experience in enterprise architecture, with at least 3-5 years of focused experience in AI and data-driven architecture design. * Extensive experience in enterprise architecture frameworks (e.g., TOGAF, Zachman). * Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). * Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. * Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data solutions. * Proficiency in data modeling, data warehousing, and ETL processes. * Familiarity with AI ethics and the implications of machine learning and data use in organizational contexts. * Strong understanding of how AI and data solutions align with and drive business goals and objectives. * Ability to address complex architectural and business challenges by designing innovative AI-driven solutions. * Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Desirable Skills: * Experience with DevOps practices in AI and data architecture, including continuous integration and deployment (CI/CD) for AI models. * Familiarity with data privacy regulations (e.g., GDPR, CCPA) and their impact on AI and data architecture. * Experience with data visualization tools like Power BI, Tableau, or Looker. * Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate). | |