Analyst responsible for installing and maintaining IT infrastructure at Celestica. Ensuring the reliability and security of IT operations in Laem Chabang, Thailand.
About the role
- Senior Enterprise Architect providing consulting services in system architectural development for Federal Government clients. Designing architecture for AI platforms and ensuring compliance with security requirements.
Responsibilities
- 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
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