We are looking for an experienced Data/Information Architect to join our team in Atlanta, Georgia, and play a pivotal role in shaping enterprise AI solutions. This position is tailored for professionals with a strong background in AI and machine learning who can design scalable, secure, and innovative systems aligned with business needs. The role offers the opportunity to work closely with global teams and contribute to the strategic integration of AI across diverse business functions.<br><br>Responsibilities:<br>• Design and implement AI/ML architectures, emphasizing generative AI, autonomous agents, and advanced machine learning models.<br>• Collaborate with cross-functional teams, including business leaders and data scientists, to translate organizational needs into actionable AI solutions.<br>• Build and optimize data pipelines for model training, fine-tuning, and inference.<br>• Ensure seamless integration of AI technologies with platforms such as Salesforce and other enterprise systems.<br>• Guide development teams to ensure scalability, performance, and adherence to security standards.<br>• Recommend and utilize tools and frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain.<br>• Promote ethical AI practices and ensure compliance with regulatory standards.<br>• Stay informed about emerging trends in AI and machine learning to integrate best practices into the organization.<br>• Mentor team members on AI/ML deployment techniques and strategies.<br>• Drive cost-efficient optimization of AI models while maintaining performance standards.

• Minimum of 5 years of experience in solution architecture, with a focus on AI and machine learning projects.<br>• Proven ability to work in large-scale enterprise environments with 50,000+ employees.<br>• Hands-on expertise with AI/ML frameworks and cloud platforms, with preference for Azure.<br>• Strong familiarity with enterprise platforms such as Microsoft stack, Salesforce, and Oracle.<br>• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s or PhD is preferred.<br>• Experience in industries such as manufacturing, automotive, or defense is a plus.<br>• Proficiency in Agile and DevOps methodologies.<br>• Excellent communication skills to collaborate with technical and non-technical stakeholders globally.

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