Enterpise Architect

Description

We are seeking an Enterprise Architect - AI/Data to design and implement enterprise-level AI and data architectures that align with business objectives and enhance operational capabilities. This role requires deep expertise in AI/ML technologies, big data platforms, and enterprise architecture frameworks.

Key Responsibilities:

• Design and develop end-to-end AI and data architectures ensuring scalability, security, and performance
• Create architectural blueprints and roadmaps for AI and data integration across the organization
• Lead the development of data platforms and AI-driven systems for advanced analytics and automation
• Define AI strategy and oversee its implementation across business units
• Deploy and integrate AI models and tools into production systems
• Design scalable cloud and on-premises data architectures using Azure, AWS, or Google Cloud
• Work with big data technologies (Hadoop, Spark) and data lake architectures
• Manage integration of AI models into big data platforms for structured and unstructured data
• Collaborate with business and technical teams to translate needs into AI/data solutions
• Stay current with AI, ML, and data technology advancements and best practices
• Assess and mitigate risks related to AI and data architectures, ensuring compliance and security

Requirements

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• 7+ years in enterprise architecture, with 3-5 years focused on AI and data-driven solutions
• Expertise in enterprise architecture frameworks (TOGAF, Zachman)
• Strong knowledge of AI/ML technologies (TensorFlow, PyTorch, Scikit-learn, Keras)
• Experience with big data platforms (Hadoop, Spark) and data lakes
• Hands-on experience with cloud platforms (Azure, AWS, Google Cloud Platform)
• Proficiency in data modeling, data warehousing, and ETL processes
• Familiarity with AI ethics and data privacy considerations
• Excellent communication skills for technical and non-technical audiences

Preferred Skills:

• Experience with DevOps practices for AI and data (CI/CD for AI models)
• Knowledge of data privacy regulations (GDPR, CCPA)
• Familiarity with visualization tools (Power BI, Tableau, Looker)
• Certifications: TOGAF, CDMP, Azure AI Engineer Associate, or similar

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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