Enterprise Architect - AI / Data

Enterprise Architect - AI / Data Department : Information Technology Location : Onsite -Washington, DC Role Type : 6-Month contract (with possibility for extension based on performance) About Our Client This organization is a global technology solutions provider with a strong history of delivering innovation and results across industries. They partner with major technology leaders as well as emerging players, employing thousands of professionals and operating in state-of-the-art facilities worldwide. Recognized consistently as one of the best places to work, they pride themselves on fostering a culture of collaboration, growth, and customer success. Job Description 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. Duties and 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. Required Experience / Skills - 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. Nice-to-Haves - 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). Education Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. Ready to take your career to the next level?

• Connect with your Catapult Recruiter : Kailyn Hartley, directly at kailyn.hartley@catapultsg.com
• Enterprise Architect | AI | Data | Cloud | Hadoop | Spark | TensorFlow | AWS | Azure | Google Cloud | TOGAF