AI/ML Enterprise Architect with Security Clearance

We have an outstanding Contract (6 months, strong possibility for hire/extension) position for an Enterprise Architect – AI/Data to join a leading Company located in the Washington, DC surrounding area. This is an onsite position supporting the DOJ. Let me know if interested in learning more. Pay Rate: $91.07-$190,000 **US Citizenship is required.** **Candidate must have the ability to obtain and maintain a DOJ 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. 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. Basic Hiring Criteria: • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. • Minimum 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. Desired Qualifications: • 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).