Remote GenAI Architect on AWS — LLM/RAG/MLOps Expert

ConfigUSA; Pennsylvania; Hybrid; USD 120,000 - 160,000; Full time

Job summary

ConfigUSA seeks a seasoned Generative AI Architect to design and implement scalable, secure GenAI solutions on AWS for enterprise use. You will lead architecture across LLMs, RAG, and agentic frameworks, collaborating with engineering, security, and business teams to accelerate AI adoption.

You will build and mature production-grade GenAI systems, ensure governance, and optimize latency and cost, while guiding architecture reviews and implementation efforts.

Qualifications

• Experience designing enterprise GenAI architectures on AWS.
• Proven ability to deliver production-ready GenAI solutions.
• Knowledge of LLMs, RAG pipelines, and AI governance.

Responsibilities

• Lead end-to-end architecture and design of enterprise GenAI on AWS.
• Build LLM-powered applications using Bedrock, Claude, Llama, and other models.
• Architect RAG pipelines with ingestion, embeddings, vector DBs, and grounding.
• Develop agentic AI solutions using LangChain, LangGraph, and orchestration frameworks.
• Ensure secure integrations with APIs, databases, and document stores.
• Design scalable AI architectures using AWS services (Lambda, API Gateway, S3, IAM, ECS/EKS).
• Establish MLOps/LLOps practices for evaluation, deployment, and monitoring.
• Implement guardrails, PII protection, encryption, and governance.

Skills

GenAI Architecture

AWS GenAI services

LangChain/LangGraph

LLM systems

Security & IAM

Tools

Amazon Bedrock

SageMaker

Vector databases

LangChain

LangGraph

Job description

ConfigUSA seeks a seasoned Generative AI Architect to design and implement scalable, secure GenAI solutions on AWS for enterprise use. You will lead architecture across LLMs, RAG, and agentic frameworks, collaborating with engineering, security, and business teams to accelerate AI adoption.

You will build and mature production-grade GenAI systems, ensure governance, and optimize latency and cost, while guiding architecture reviews and implementation efforts.