Job Description

Job: #2089157

Apex Systems is seeking an AI & Data DevOps Architect who can work onsite in Washington, D.C.

Summary

The Architect 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 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 or Masters 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.
• 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).

Other Requirements

• Must be a U.S. Citizen with ability to obtain a Public Trust.

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 memic@apex.com or 8444636178.

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 a 401K program with a company match after 12 months of tenure, an ESPP and HSA. Additional support includes a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other perks. For professional development, Apex hosts an ondemand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars after 6+ months of tenure, and offers certification discounts and other perks to associations like CompTIA and IIBA. Our dedicated customer service team can address questions around benefits, and we offer certified career coaching. Full details are available in the Welcome Packet from an Apex team member.

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