Senior Enterprise Architect

Role Overview

• Provide subject-matter expertise in system architectural development, engineering, and integration for R&D and Production systems.
• Deliver enterprise-level architecture and governance integration for AI research and production.
• Design architectural blueprints and develop scalable data and MLOps patterns.
• Ensure architecture aligns with enterprise governance, Responsible AI, and IL5 security requirements.
• Act as the primary technical authority for the platform’s design and strategic evolution.
• Support business development and firm activities as directed by leadership.

Requirements

• Must be a U.S. Citizen
• M.S. in Computer Science, Information Technology, Engineering, or similar
• ** Current SECRET Clearance (TS Preferred)**
• 15+ years of full-time professional work experience, 12+ years of progressive experience in enterprise-level systems architecture, engineering, and governance within the federal government, with demonstrated expertise in AI/ML platforms, MLOps, and secure (IL5) cloud environments
• AI/ML Frameworks: Proficiency in designing and maintaining architecture for both generative AI (e.g., Transformers, Large Language Models) and traditional AI workloads.
• Architectural Pattern Development: Ability to create reusable blueprints for rapid prototyping, synthetic data experimentation, and "transition-to-production" pathways.
• Data Engineering: Expertise in developing scalable patterns for ingesting and managing structured, semi-structured, and unstructured data.
• Advanced Analytics Integration: Skill in institutionalizing advanced analytics within a unified research and production environment.
• DoD Security Standards: Subject matter expertise in IL5 security requirements and the implementation of controls for handling sensitive data within secure enclaves.
• Responsible AI (RAI): Practical knowledge of applying Responsible AI lifecycle controls and enterprise data governance policies.
• MLOps Lifecycle Management: Deep understanding of institutionalizing Machine Learning Operations (MLOps), including model versioning, automated retraining, and performance monitoring.
• Scalability Design: Ability to ensure AI platforms evolve into sustainable, enterprise-level environments that support growing research demands.
• Preferred Certs: Professional certifications such as Certified Information Systems Security Professional (CISSP), TOGAF, or equivalent DoD architecture Framework (DoDAF) experience are highly desirable
• ** Remote role, but must be physically located in the Washington DC greater metro area; must be available for occasional client meetings**

Tech Stack

• Cloud
• TypeScript

Benefits

• Medical, Dental, and Vision insurance
• Retirement savings 401K plan provided by an industry-leading provider with 3% employer contributions of the employee’s gross salary
• Paid Time Off and Standard Government Holidays
• Life Insurance, Short
• and Long-Term disability benefits
• Training Benefits