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GEN AI - Architect

Net2Source · Charlotte, NC

100100

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Posted 6 days ago · still listed on the employer's own board · How we score

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  • Posted 6 days ago
  • Still listed on the employer's own board

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GEN AI - Architect at Net2Source. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

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