Chief AI Architect
AMA CONSULTING · Lanham, MD · 4 mo ago
Art & CreativeFull-time
Key Responsibilities
- AI Platform Architecture
- Design the overall architecture for AMA’s AI governance and validation platform.
- Define scalable system architecture supporting AI model evaluation and monitoring.
- Establish engineering standards for AI infrastructure and platform integration.
- Architect distributed systems supporting large-scale AI testing and compliance automation.
- AI Validation & Assurance Framework
- Design frameworks for AI model validation, testing, and performance monitoring.
- Define technical standards for explainability, bias detection, and risk assessment.
- Establish model governance pipelines and validation workflows.
- Technical Leadership
- Provide technical leadership to machine learning engineers and platform engineers.
- Guide development of the platform’s engineering roadmap.
- Evaluate emerging technologies in AI infrastructure, MLOps, and responsible AI.
- Strategic Platform Development
- Support the development of AI readiness tools aligned with Department of Defense and federal AI frameworks.
- Collaborate with internal leadership on product strategy and technology investments.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related technical field.
- 10+ years of experience in AI engineering, machine learning infrastructure, or distributed systems.
- Proven experience designing large-scale AI or machine learning platforms.
- Expertise in cloud infrastructure, microservices architecture, and containerized systems.
- Strong experience with Python, AI frameworks, and data engineering tools.
- Demonstrated leadership managing complex technical development teams.
- Familiarity with federal AI governance frameworks (NIST AI RMF, DoD AI policies).
- Experience with Kubernetes, Docker, and distributed AI systems.
Preferred Skills
- Experience supporting federal agencies, defense programs, or national security initiatives.
- Experience with MLOps platforms and AI lifecycle management.
- PMP Certification.