Overview
On Site
Contract - Independent
Contract - W2
Skills
IT Service Management
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
Job Details
Data/AI Enterprise Architect
Washington, DC - 100% ONSITE
Must be able to obtain Public Trust - 12-16 week process
ALTA IT Services is in search of a candidate who has 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.
Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).
System One, and its subsidiaries including Joul, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
#M2
#LI-VH1
#DI-VH1
Ref: #850-Rockville (ALTA IT)
Washington, DC - 100% ONSITE
Must be able to obtain Public Trust - 12-16 week process
ALTA IT Services is in search of a candidate who has 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.
Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).
System One, and its subsidiaries including Joul, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
#M2
#LI-VH1
#DI-VH1
Ref: #850-Rockville (ALTA IT)
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.