Overview
On Site
Full Time
Skills
Decision-making
Scalability
Roadmaps
Advanced Analytics
Data Lake
Management
Algorithms
Unstructured Data
Data Analysis
Computer Science
Information Systems
Zachman Framework
TensorFlow
PyTorch
scikit-learn
Keras
Deep Learning
Natural Language Processing
Big Data
Apache Hadoop
Apache Spark
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Data Modeling
Data Warehouse
Extract
Transform
Load
Machine Learning (ML)
Communication
DevOps
Continuous Integration and Development
Continuous Integration
Continuous Delivery
Privacy
Data Architecture
Data Visualization
Microsoft Power BI
Tableau
Enterprise Architecture
Data Science
TOGAF
Data Management
Microsoft
Microsoft Azure
Artificial Intelligence
SAP BASIS
Law
IT Service Management
Innovation
Collaboration
Recruiting
Insurance
Finance
Professional Development
Training
Leadership
CompTIA
Customer Service
Career Counseling
Apex
Oracle Application Express
Job Details
Job#: 2088270
Job Description:
Apex Systems is seeking an Enterprise Architect - AI/Data to work onsite in Washington, D.C. This candidate will utilize 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.
Key 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.
Qualifications:
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 language 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.
Desirable Skills:
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.
Preferred Certifications:
Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).
Other Requirements:
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Job Description:
Apex Systems is seeking an Enterprise Architect - AI/Data to work onsite in Washington, D.C. This candidate will utilize 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.
Key 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.
Qualifications:
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 language 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.
Desirable Skills:
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.
Preferred Certifications:
Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).
Other Requirements:
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.