ABBTECH Professional Resources
Enterprise Architect - AI/Data
ABBTECH Professional Resources, Washington, District of Columbia, us, 20022
Enterprise Architect - AI/Data
Washington, DC (5 days a week on-site)
Public Trust
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.
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).
Position Details:
Pay Rate / Range: $89.50
The above salary range represents the range expected for the position; however, final salary offers are based on a number of factors such as the position's responsibilities; the candidate's experience, education, and skills; location; travel required; and current market conditions.
This program requires US Citizenship
Benefits (Regular, Full Time Employees):
Medical, Dental, and Vision offerings
Weekly Direct Deposit
Paid Holidays and Personal Time Off
401(k) with match
Voluntary Life and AD&D, Short / Long Term Disability, plus other voluntary coverages
Pre-Paid Legal and Employee Assistance Programs
Northwest Federal Credit Union Membership
BB&T @ Work Program
ABBTECH is an EOE/Minorities/Women/Disabled Individuals/Veterans
Washington, DC (5 days a week on-site)
Public Trust
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.
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).
Position Details:
Pay Rate / Range: $89.50
The above salary range represents the range expected for the position; however, final salary offers are based on a number of factors such as the position's responsibilities; the candidate's experience, education, and skills; location; travel required; and current market conditions.
This program requires US Citizenship
Benefits (Regular, Full Time Employees):
Medical, Dental, and Vision offerings
Weekly Direct Deposit
Paid Holidays and Personal Time Off
401(k) with match
Voluntary Life and AD&D, Short / Long Term Disability, plus other voluntary coverages
Pre-Paid Legal and Employee Assistance Programs
Northwest Federal Credit Union Membership
BB&T @ Work Program
ABBTECH is an EOE/Minorities/Women/Disabled Individuals/Veterans