

Gen AI, AI/ML Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI, AI/ML Architect in Arlington, VA, on a contract basis. Requires 10+ years in application development, 5+ years in solution architecture, proficiency in AWS, Python, and strong communication skills. AML or AWS Architect certification preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Arlington, VA
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π§ - Skills detailed
#AWS (Amazon Web Services) #Langchain #DevOps #ML (Machine Learning) #Deployment #Python #Leadership #Scala #AI (Artificial Intelligence) #SageMaker #Scripting #Model Deployment #Programming #Data Science #Shell Scripting #Data Ingestion #Cloud
Role description
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Hope you are doing well. I have an Urgent Requirement mentioned Below. If you are interested in this Job role, please let me know and share your updated resume and i will get back to you.
Job role : Gen AI, AI/ML Architect
Location : Arlington, VA, 2221.
Job Type: Contract
Job Title
Senior Solution Architect
Domain Expertise
Gen AI, AI/ML Model Onboarding, AWS Bedrock, Agentic Configuration
10+ years of progressive hands-on experience in application development with 5-6 years of solution architecture, systems architecture and engineering, analysis and applications programming in AI related discipline. Technical team leadership role is preferred & a minimum of 5 yearsβ experience in working with a cloud provider.
AML Certs or AWS Architect
Cloud Platform
AWS (Bedrock), familiar with other cloud ecosystems optional
Application Development
Python, Shell scripting, Integration with ML models, Model Fine-tuning
Key Responsibilities
β’ Lead AI/ML solutioning and onboarding
β’ Work with dev teams for quick deployment
β’ Provide architectural guidance
β’ Design agentic GenAI solutions
β’ Design patterns: Implement & advocate best-practice software and architectural design patterns
Leadership
β’ Senior/Leadership role
β’ Drive solution direction
β’ Mentor teams
Communication Skills
Strong verbal & written communication
Can explain complex AI concepts to business & tech stakeholders
Problem-Solving
Ability to understand problems quickly and architect scalable, efficient solutions
AI/ML Workflow Knowledge
End-to-end understanding of ML lifecycle (data ingestion to model deployment)
GenAI Focus Areas
LLM Integration, Prompt Engineering, Fine-tuning, Agent orchestration
Industry Awareness
Up-to-date with trends in AI/ML, domain-specific solutioning
Tools/Frameworks
β’ AWS Bedrock, SageMaker
β’ LangChain (optional)
Collaboration
Cross-functional teams: App Dev, Data Science, Product, DevOps
Interview mode
Onsite
Onsite/remote
Hybrid (M,T,W)
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