Enterprise Architect - AI / Data

Overview

Enterprise Architect - AI / Data

Department : Information Technology

Location : Onsite -Washington, DC

Role Type : 6-Month contract (with possibility for extension based on performance)

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

Nice-to-Haves

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