Start searching
Back to Jobs
Recently postedTechnology

GenAI Architect

SysMind, LLCCharlotte, NC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationCharlotte, NC, United States
Stakeholder ManagementDockerSQLGitAWSAPI GatewayMLOpsMLflowBigQueryCloudFormationDatabricksGitHub ActionsGoogle CloudJenkinsLLMPythonTerraformGenerative AIKubernetesTypeScriptPrompt EngineeringCI/CDLangChainLangGraphRAG

Job description

Experience: 10+ Years
Duration: 6 Months
Location: Charlotte, NC
Employment Type: Contract

Job Summary

We are seeking an experienced GenAI Architect to lead the design and implementation of enterprise-scale Generative AI solutions across Google Cloud Platform (Google Cloud Platform) and Amazon Web Services (AWS).

The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, cloud-native architecture, MLOps, and AI governance. The candidate will collaborate with business stakeholders, data scientists, engineering teams, and product leaders to deliver scalable, secure, and responsible AI solutions.

Key Responsibilities

  • Define enterprise GenAI architecture, technical strategy, and technology roadmaps.

  • Design and implement scalable LLM-based applications and RAG solutions.

  • Develop Agentic AI systems using multi-agent frameworks and orchestration platforms.

  • Architect AI solutions using Google Cloud Vertex AI, Gemini, and AWS Amazon Bedrock.

  • Build enterprise knowledge retrieval systems using vector databases and semantic search.

  • Design AI model deployment, inference, fine-tuning, and evaluation strategies.

  • Establish MLOps pipelines, CI/CD automation, monitoring, and model versioning.

  • Implement responsible AI guardrails, security controls, data privacy, and governance.

  • Design cloud-native infrastructure using Terraform, Docker, and Kubernetes.

  • Lead architecture reviews, mentor engineering teams, and collaborate with business stakeholders.

Primary Skills

Generative AI / GenAI

Large Language Models (LLMs)

Google Cloud Platform (Google Cloud Platform)

Amazon Web Services (AWS)

Vertex AI

Gemini Models

Amazon Bedrock

Retrieval-Augmented Generation (RAG)

Agentic AI

Cloud Solution Architecture

Python

MLOps

Secondary Skills

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

Semantic Kernel

Vector Databases – Pinecone, Weaviate, Chroma, FAISS

BigQuery

Amazon SageMaker

OpenSearch

Amazon Kendra

Dataflow

Cloud Run

Google Kubernetes Engine (GKE)

AWS Lambda

Amazon ECS / EKS

AWS Step Functions

API Gateway

Prompt Engineering

Semantic Search

Fine-Tuning and Model Evaluation

Terraform / CloudFormation

Docker and Kubernetes

GitHub Actions / Jenkins

MLflow / Kubeflow

SQL and TypeScript

AI Security, Governance, and Responsible AI

Required Qualifications

  • 10+ years of overall IT experience.

  • 5+ years of experience in cloud architecture.

  • 3+ years of experience designing and implementing Generative AI / LLM solutions.

  • Strong experience with Google Cloud Platform and AWS AI/ML services.

  • Hands-on expertise in RAG, Agentic AI, prompt engineering, and vector search.

  • Experience with enterprise architecture, cloud security, MLOps, and AI governance.

  • Strong communication, technical leadership, and stakeholder management skills.

  • Bachelor's or Master's degree in Computer Science, IT, Data Science, AI, or a related field.

Preferred Qualifications

  • Experience in financial services, healthcare, insurance, or retail.

  • Experience integrating GenAI solutions with Salesforce, ServiceNow, SAP, or other enterprise applications.

  • Knowledge of multimodal AI involving text, images, and document processing.

  • Relevant Google Cloud, AWS, Databricks, or Kubernetes certifications


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.

Similar jobs

Apply