OCT Consulting LLC

Senior Enterprise Architect

OCT Consulting LLC

full-time

Posted on:

Location Type: Hybrid

Location: WashingtonDistrict of ColumbiaWashingtonUnited States

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Salary

💰 $175,000 - $195,000 per year

Job Level

Tech Stack

About the role

  • 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**
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
enterprise-level systems architectureengineeringgovernanceAI/ML platformsMLOpsdata engineeringadvanced analytics integrationarchitectural pattern developmentscalability designResponsible AI
Soft Skills
subject-matter expertisetechnical authoritybusiness development supportstrategic evolution
Certifications
Certified Information Systems Security Professional (CISSP)TOGAFDoDAF