Highlights
We are seeking an experienced GenAI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions leveraging Google Cloud Platform (GCP) and Amazon Web Services (AWS). The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, cloud-native architectures, MLOps, and AI governance.
Numbers & Facts
| Location | Charlotte, NC |
| Industry | Other/Not Classified |
| Salary | $62–$67 Per Hour |
| Company Size | 50 to 99 employees |
| Website | http://www.net2source.com |
Description
Join a Global Leader in Workforce Solutions Net2Source Inc.
Who We Are
Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision Right Talent. Right Time. Right Place. Right Price.
Role Name: GEN AI - Architect
Location: Charlotte, NC
Duration: 12+ Months
JOB DESCRIPTION:
GenAI Architect Google Cloud (GCP) & AWS
Experience
10+ Years of IT Experience with 5+ years in Cloud Architecture and 3+ years in Generative AI/LLM solutions design and implementation.
Job Summary
We are seeking an experienced GenAI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions leveraging Google Cloud Platform (GCP) and Amazon Web Services (AWS). The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, cloud-native architectures, MLOps, and AI governance. This role involves collaborating with business stakeholders, data scientists, engineers, and product teams to deliver scalable, secure, and responsible AI solutions.
Key Responsibilities
AI & Solution Architecture
Define enterprise GenAI strategy, architecture standards, and technology roadmaps.
Design and implement scalable Generative AI solutions using foundation models and custom LLMs.
Architect RAG-based systems integrating structured and unstructured enterprise data.
Design Agentic AI solutions leveraging multi-agent frameworks and orchestration platforms.
Evaluate and select appropriate foundation models based on business requirements, cost, security, and performance.
Develop reference architectures, reusable frameworks, and best practices for AI adoption.
Google Cloud Responsibilities
Architect AI solutions using:
Vertex AI
Gemini Models
Vertex AI Search & Conversation
BigQuery
Cloud Functions
Dataflow
GKE
Cloud Run
Apigee
Design AI pipelines utilizing Vertex AI Model Garden and Vector Search.
AWS Responsibilities
Design AI/ML platforms using:
Amazon Bedrock
Amazon SageMaker
AWS Lambda
Amazon OpenSearch
Amazon Kendra
ECS/EKS
Step Functions
API Gateway
Implement scalable inferencing, fine-tuning, and model deployment strategies.
Generative AI & LLM Engineering
Design and optimize:
Prompt Engineering frameworks
RAG architectures
Vector databases
Knowledge retrieval systems
AI Agents and Workflow Automation
Implement model evaluation frameworks for accuracy, relevance, hallucination detection, and performance monitoring.
Define guardrails for responsible AI and content moderation.
MLOps & DevOps
Establish CI/CD pipelines for AI model deployment.
Implement model versioning, monitoring, observability, and governance.
Design scalable infrastructure using Infrastructure as Code (Terraform/CloudFormation).
Security & Governance
Ensure AI solutions comply with enterprise security standards.
Define data privacy, compliance, and responsible AI policies.
Implement IAM, encryption, audit logging, and model governance frameworks.
Leadership & Collaboration
Provide technical leadership to architects, engineers, and data scientists.
Engage stakeholders to translate business requirements into AI solutions.
Mentor development teams on GenAI best practices.
Conduct architecture reviews and technology assessments.
Required Qualifications
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related field.
Technical Skills
Generative AI
Strong understanding of:
Large Language Models (LLMs)
Transformer architectures
Prompt Engineering
RAG
Fine-tuning
Agentic AI
Semantic Search
Vector Databases
Google Cloud
Vertex AI
Gemini
BigQuery
Dataflow
GKE
Cloud Run
Pub/Sub
Cloud Storage
AWS
Amazon Bedrock
SageMaker
OpenSearch
Kendra
Lambda
ECS/EKS
Step Functions
AI Frameworks
LangChain
LangGraph
LlamaIndex
CrewAI
AutoGen
Semantic Kernel
Programming Languages
Python
Java
TypeScript
SQL
Vector Databases
Pinecone
Weaviate
Chroma
FAISS
OpenSearch Vector Engine
DevOps & MLOps
Terraform
Docker
Kubernetes
GitHub Actions
Jenkins
MLflow
Kubeflow
Preferred Qualifications
Experience designing enterprise AI solutions for Financial Services, Healthcare, Insurance, or Retail domains.
Knowledge of Responsible AI, AI Safety, and Model Governance.
Experience integrating GenAI solutions with Salesforce, ServiceNow, SAP, or enterprise applications.
Experience with multimodal AI solutions involving text, image, and document processing.
Certifications (Preferred)
Google Cloud
Professional Cloud Architect
Professional Machine Learning Engineer
AWS
AWS Certified Solutions Architect Professional
AWS Certified Machine Learning Specialty
Additional
Databricks Machine Learning Professional
Kubernetes Certifications (CKA/CKAD)
Desired Soft Skills
Strong communication and stakeholder management skills.
Ability to lead architecture workshops and executive discussions.
Strategic thinking with strong problem-solving abilities.
Experience working in Agile and cross-functional environments.
Why Work With Us?
We believe in more than just jobs we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
" America's Most Honored Businesses (Top 10%)
" Fastest-Growing Staffing Firm by Staffing Industry Analysts
" INC 5000 List for Eight Consecutive Years
" Top 100 by Dallas Business Journal
" Spirit of Alliance Award by Agile1
Ready to Level Up Your Career?
Click Apply Now and let's make it happen.
Best regards,
Juan C. Matus
Sr. Customer Success Manager
Who We Are
Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision Right Talent. Right Time. Right Place. Right Price.
Role Name: GEN AI - Architect
Location: Charlotte, NC
Duration: 12+ Months
JOB DESCRIPTION:
GenAI Architect Google Cloud (GCP) & AWS
Experience
10+ Years of IT Experience with 5+ years in Cloud Architecture and 3+ years in Generative AI/LLM solutions design and implementation.
Job Summary
We are seeking an experienced GenAI Architect to lead the design, development, and implementation of enterprise-scale Artificial Intelligence solutions leveraging Google Cloud Platform (GCP) and Amazon Web Services (AWS). The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, cloud-native architectures, MLOps, and AI governance. This role involves collaborating with business stakeholders, data scientists, engineers, and product teams to deliver scalable, secure, and responsible AI solutions.
Key Responsibilities
AI & Solution Architecture
Define enterprise GenAI strategy, architecture standards, and technology roadmaps.
Design and implement scalable Generative AI solutions using foundation models and custom LLMs.
Architect RAG-based systems integrating structured and unstructured enterprise data.
Design Agentic AI solutions leveraging multi-agent frameworks and orchestration platforms.
Evaluate and select appropriate foundation models based on business requirements, cost, security, and performance.
Develop reference architectures, reusable frameworks, and best practices for AI adoption.
Google Cloud Responsibilities
Architect AI solutions using:
Vertex AI
Gemini Models
Vertex AI Search & Conversation
BigQuery
Cloud Functions
Dataflow
GKE
Cloud Run
Apigee
Design AI pipelines utilizing Vertex AI Model Garden and Vector Search.
AWS Responsibilities
Design AI/ML platforms using:
Amazon Bedrock
Amazon SageMaker
AWS Lambda
Amazon OpenSearch
Amazon Kendra
ECS/EKS
Step Functions
API Gateway
Implement scalable inferencing, fine-tuning, and model deployment strategies.
Generative AI & LLM Engineering
Design and optimize:
Prompt Engineering frameworks
RAG architectures
Vector databases
Knowledge retrieval systems
AI Agents and Workflow Automation
Implement model evaluation frameworks for accuracy, relevance, hallucination detection, and performance monitoring.
Define guardrails for responsible AI and content moderation.
MLOps & DevOps
Establish CI/CD pipelines for AI model deployment.
Implement model versioning, monitoring, observability, and governance.
Design scalable infrastructure using Infrastructure as Code (Terraform/CloudFormation).
Security & Governance
Ensure AI solutions comply with enterprise security standards.
Define data privacy, compliance, and responsible AI policies.
Implement IAM, encryption, audit logging, and model governance frameworks.
Leadership & Collaboration
Provide technical leadership to architects, engineers, and data scientists.
Engage stakeholders to translate business requirements into AI solutions.
Mentor development teams on GenAI best practices.
Conduct architecture reviews and technology assessments.
Required Qualifications
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or related field.
Technical Skills
Generative AI
Strong understanding of:
Large Language Models (LLMs)
Transformer architectures
Prompt Engineering
RAG
Fine-tuning
Agentic AI
Semantic Search
Vector Databases
Google Cloud
Vertex AI
Gemini
BigQuery
Dataflow
GKE
Cloud Run
Pub/Sub
Cloud Storage
AWS
Amazon Bedrock
SageMaker
OpenSearch
Kendra
Lambda
ECS/EKS
Step Functions
AI Frameworks
LangChain
LangGraph
LlamaIndex
CrewAI
AutoGen
Semantic Kernel
Programming Languages
Python
Java
TypeScript
SQL
Vector Databases
Pinecone
Weaviate
Chroma
FAISS
OpenSearch Vector Engine
DevOps & MLOps
Terraform
Docker
Kubernetes
GitHub Actions
Jenkins
MLflow
Kubeflow
Preferred Qualifications
Experience designing enterprise AI solutions for Financial Services, Healthcare, Insurance, or Retail domains.
Knowledge of Responsible AI, AI Safety, and Model Governance.
Experience integrating GenAI solutions with Salesforce, ServiceNow, SAP, or enterprise applications.
Experience with multimodal AI solutions involving text, image, and document processing.
Certifications (Preferred)
Google Cloud
Professional Cloud Architect
Professional Machine Learning Engineer
AWS
AWS Certified Solutions Architect Professional
AWS Certified Machine Learning Specialty
Additional
Databricks Machine Learning Professional
Kubernetes Certifications (CKA/CKAD)
Desired Soft Skills
Strong communication and stakeholder management skills.
Ability to lead architecture workshops and executive discussions.
Strategic thinking with strong problem-solving abilities.
Experience working in Agile and cross-functional environments.
Why Work With Us?
We believe in more than just jobs we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
" America's Most Honored Businesses (Top 10%)
" Fastest-Growing Staffing Firm by Staffing Industry Analysts
" INC 5000 List for Eight Consecutive Years
" Top 100 by Dallas Business Journal
" Spirit of Alliance Award by Agile1
Ready to Level Up Your Career?
Click Apply Now and let's make it happen.
Best regards,
Juan C. Matus
Sr. Customer Success Manager
About Company
Net2Source Inc. is a Global Workforce Management Solutions Company, headquartered in New Brunswick, NJ with its local offices in Texas, California, Florida, Illinois, Colorado and Michigan and its global operations in Canada, UK, Europe, UAE, Malaysia, Australia, China, Singapore and India. Net2Source offers a wide gamut of consulting solutions customized to specific client needs including but not limited to Application Development, Workforce Management and Project Consulting.
Whether it’s a Fortune client, whether it’s a System Implementer or whether it is a Start -up, our recipe to success – Exceed expectations! Under promise, over deliver.