AI/ML Architect

Role- AI/ML Architect

Location-Reston-VA (Remote)

No C2C

The AI/ML Enterprise Architect will lead the design and implementation of advanced AI/ML solutions across cloud and data enterprise portfolios. This role requires deep expertise in cloud-native architectures, machine learning engineering, and enterprise-level solution design. The architect will collaborate with cross-functional teams to define technical roadmaps, ensure scalable and secure deployments, and guide strategic AI adoption across the organization.

Required Qualifications To Be Successful In This Role

• Proven experience deploying AI/ML solutions in production environments
• Strong understanding of cloud platforms (AWS, Azure, GCP) and multi-cloud strategies
• Expertise in MLOps, DataOps, and lifecycle engineering for enterprise AI
• Proficiency in Python, Spark, or R for data science and machine learning tasks
• Familiarity with AI services for speech, vision, and text
• Experience with microservices architecture and cloud migration strategies
• Knowledge of architectural frameworks (e.g., TOGAF) and principles
• Ability to create and communicate technical roadmaps and architecture documentation
• Strong interpersonal and communication skills, both written and verbal
• Skilled in stakeholder engagement, relationship management, and cross-functional collaboration
• Comfortable presenting complex ideas in a clear, engaging manner
• Experience in strategic planning and resource alignment
• Professional certifications in AI/ML and cloud platforms (e.g., AWS Professional Certification) are a plus
• 10 years of progressive experience in software systems, application development, and architecture
• At least 5–6 years in AI/ML solution architecture and engineering
• Minimum 5 years of experience working with cloud platforms (AWS or Azure)