<p> <strong>Key Highlights:</strong></p><ul><li>Design and implement scalable AI and data architectures aligned with business goals</li><li>Lead development of data platforms and AI-driven systems for analytics, automation, and machine learning</li><li>Collaborate across business and technical teams to translate needs into architectural solutions</li><li>Stay current with emerging AI technologies and drive innovation across the organization</li></ul><p><br></p>

<p><strong>Must-Have Qualifications:</strong></p><ul><li>Bachelor’s or Master’s in Computer Science, Data Science, or related field</li><li>7+ years in enterprise architecture, with 3–5 years focused on AI/data architecture</li><li>Experience with AI/ML tools (TensorFlow, PyTorch, Scikit-learn), big data platforms (Hadoop, Spark), and cloud (Azure, AWS, GCP)</li><li>Strong understanding of enterprise architecture frameworks (TOGAF, Zachman)</li><li>Excellent communication and stakeholder engagement skills</li></ul><p><strong>Preferred Skills:</strong></p><ul><li>Experience supporting federal agencies</li><li>Familiarity with DevOps practices and CI/CD for AI models</li><li>Knowledge of data privacy regulations (GDPR, CCPA)</li><li>Certifications: TOGAF, CDMP, Azure AI Engineer Associate, PMP</li></ul><p><br></p>

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