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Enterprise Architect - AI/Data
Enterprise Architect - AI/DataZipRecruiter • Washington, DC, United States
Enterprise Architect - AI / Data

Enterprise Architect - AI / Data

ZipRecruiter • Washington, DC, United States
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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

  • Bachelor\'s or Master\'s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
  • 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 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.

    • Nice-to-Haves

  • 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, Certifi

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    Enterprise Architect • Washington, DC, United States