Enterprise Architect
Enterprise Architect
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 126100 - 227950
1 Vacancy
Job Description
Leidos is looking for an Enterprise Architect to support a large U.S. Department of Justice (DOJ) program. The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace. The Enterprise Architect will be responsible for shaping and leading the architectural vision and strategy around AI and data solutions across the organization. This position will involve working closely with business stakeholders data scientists and IT teams to design and implement scalable secure and efficient architectures that leverage AI technologies and datadriven insights. You will use your deep knowledge of enterprise architecture principles AI technologies and data management practices to guide decisionmaking and ensure that the architecture supports business objectives and enhances operational capabilities. This work is located onsite in the DC area.
Key Responsibilities:
Design and develop endtoend 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 AIdriven 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 cloudbased and onpremises 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 organizations 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:
Bachelors with 12 years of relevant experience or Masters degree with 10 years of relevant experience in Computer Science Information Systems Data Science Engineering or a related field.
7 years of experience in enterprise architecture with at least 35 years of focused experience in AI and datadriven architecture design.
Extensive experience in enterprise architecture frameworks (e.g. TOGAF Zachman).
Expertise in AI/ML technologies (e.g. TensorFlow PyTorch Scikitlearn 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.
Handson 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 AIdriven solutions.
Excellent verbal and written communication skills with the ability to explain complex technical concepts to nontechnical 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).
Original Posting:
April 16 2025For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $126100.00 $227950.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Employment Type
Full-Time
