

Finteksoft Inc
Gen AI Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Architect on a contract basis, paying $52.29 - $80.00 per hour. Requires expertise in Azure AI, Google Cloud AI, document processing, and API management. Must have strong Python skills and experience with Kubernetes and Snowflake.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date
December 5, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC 28214
-
π§ - Skills detailed
#Snowflake #Data Science #Scala #DevOps #Data Governance #Kubernetes #Image Processing #Data Analysis #Cloud #Azure #Security #Model Optimization #Deployment #Model Deployment #Python #AI (Artificial Intelligence) #Data Modeling #Compliance #API (Application Programming Interface) #ML (Machine Learning) #Automation
Role description
Gen AI ArchitectJob DescriptionResponsibilities:
Lead the architectural design and implementation of scalable generative AIβpowered solutions for business automation across Azure and Google Cloud.
Architect end-to-end AI model workflows using Azure AI and Google Cloud AI tools, with a focus on complex document intelligence, multi-modal data analysis, and advanced image processing.
Design and oversee optimized RAG (Retrieval-Augmented Generation) pipelines incorporating diverse data sources and formats for improved prompt performance.
Establish best practices for prompt engineering and iterative refinement to enhance accuracy and relevance across varied data types.
Collaborate with engineering, data science, and business teams to convert complex requirements into scalable AI architecture components.
Champion the integration of the clientβs proprietary Generative AI tools into architecture and development life cycles.
Direct the implementation of secure and efficient API management strategies using Apigee for AI model access and services.
Ensure all solution designs follow strict data governance, security policies, and cloud-native compliance measures.
Provide architectural guidance for using generative AI in critical business workflows such as License Audit and Product Approval, ensuring verifiable and scalable outcomes.
Establish, automate, and optimize DevOps pipelines for model deployment, testing, and continuous improvements.
Skills & Qualifications:
Deep expertise with Azure AI services (including Cognitive Services) and the Google Cloud AI/ML platform.
Extensive hands-on experience with document processing, including Azure Document Intelligence and other OCR technologies.
Mastery of Snowflake for data modeling, warehousing, and integration with advanced analytics.
Proficiency with cloud orchestration tools such as GKE Scheduler and asynchronous communication tools like Google Pub/Sub.
Advanced expertise in API management using Apigee, including best practices for security and governance.
Proven ability to design and deploy Kubernetes-based AI model solutions, along with model optimization techniques.
Strong command of Python for development, automation, and AI pipeline work.
Demonstrated experience converting business needs into scalable, maintainable technical designs.
Experience working with, extending, or customizing Generative AI tooling.
Deep understanding of Retrieval-Augmented Generation (RAG) concepts and real-world applications.
Job Type: Contract
Pay: $52.29 - $80.00 per hour
Benefits:
Dental insurance
Health insurance
Vision insurance
Work Location: In person
Gen AI ArchitectJob DescriptionResponsibilities:
Lead the architectural design and implementation of scalable generative AIβpowered solutions for business automation across Azure and Google Cloud.
Architect end-to-end AI model workflows using Azure AI and Google Cloud AI tools, with a focus on complex document intelligence, multi-modal data analysis, and advanced image processing.
Design and oversee optimized RAG (Retrieval-Augmented Generation) pipelines incorporating diverse data sources and formats for improved prompt performance.
Establish best practices for prompt engineering and iterative refinement to enhance accuracy and relevance across varied data types.
Collaborate with engineering, data science, and business teams to convert complex requirements into scalable AI architecture components.
Champion the integration of the clientβs proprietary Generative AI tools into architecture and development life cycles.
Direct the implementation of secure and efficient API management strategies using Apigee for AI model access and services.
Ensure all solution designs follow strict data governance, security policies, and cloud-native compliance measures.
Provide architectural guidance for using generative AI in critical business workflows such as License Audit and Product Approval, ensuring verifiable and scalable outcomes.
Establish, automate, and optimize DevOps pipelines for model deployment, testing, and continuous improvements.
Skills & Qualifications:
Deep expertise with Azure AI services (including Cognitive Services) and the Google Cloud AI/ML platform.
Extensive hands-on experience with document processing, including Azure Document Intelligence and other OCR technologies.
Mastery of Snowflake for data modeling, warehousing, and integration with advanced analytics.
Proficiency with cloud orchestration tools such as GKE Scheduler and asynchronous communication tools like Google Pub/Sub.
Advanced expertise in API management using Apigee, including best practices for security and governance.
Proven ability to design and deploy Kubernetes-based AI model solutions, along with model optimization techniques.
Strong command of Python for development, automation, and AI pipeline work.
Demonstrated experience converting business needs into scalable, maintainable technical designs.
Experience working with, extending, or customizing Generative AI tooling.
Deep understanding of Retrieval-Augmented Generation (RAG) concepts and real-world applications.
Job Type: Contract
Pay: $52.29 - $80.00 per hour
Benefits:
Dental insurance
Health insurance
Vision insurance
Work Location: In person






