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
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Define enterprise GenAI architecture, technical strategy, and technology roadmaps.
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Design and implement scalable LLM-based applications and RAG solutions.
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Develop Agentic AI systems using multi-agent frameworks and orchestration platforms.
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Architect AI solutions using Google Cloud Vertex AI, Gemini, and AWS Amazon Bedrock.
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Build enterprise knowledge retrieval systems using vector databases and semantic search.
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Design AI model deployment, inference, fine-tuning, and evaluation strategies.
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Establish MLOps pipelines, CI/CD automation, monitoring, and model versioning.
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Implement responsible AI guardrails, security controls, data privacy, and governance.
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Design cloud-native infrastructure using Terraform, Docker, and Kubernetes.
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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
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10+ years of overall IT experience.
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5+ years of experience in cloud architecture.
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3+ years of experience designing and implementing Generative AI / LLM solutions.
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Strong experience with Google Cloud Platform and AWS AI/ML services.
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Hands-on expertise in RAG, Agentic AI, prompt engineering, and vector search.
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Experience with enterprise architecture, cloud security, MLOps, and AI governance.
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Strong communication, technical leadership, and stakeholder management skills.
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Bachelor's or Master's degree in Computer Science, IT, Data Science, AI, or a related field.
Preferred Qualifications
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Experience in financial services, healthcare, insurance, or retail.
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Experience integrating GenAI solutions with Salesforce, ServiceNow, SAP, or other enterprise applications.
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Knowledge of multimodal AI involving text, images, and document processing.
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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.
