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GEN AI - Architect

NET2SOURCE INC

  • Charlotte, NC
  • 5 days ago

    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

    LocationCharlotte, NC
    IndustryOther/Not Classified
    Company Size50 to 99 employees
    Websitehttp://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

    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.

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