Generative AI / AI Architect – AWS

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

Currently USA-based and able to work EST hours - ONLY EST/CST candidates will be considered for remote

Candidates outside the USA will be rejected regardless of technical score.

Pennsylvania-based candidates willing to work hybrid will receive priority when technical qualifications are comparable.

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Job Description:

We are seeking a highly experienced Generative AI / AI Architect to design, architect, and implement scalable, secure, and enterprise-grade AI solutions leveraging AWS cloud services, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

The ideal candidate will bring strong hands-on expertise in Amazon Bedrock, Amazon SageMaker, Python, LangChain/LangGraph, vector databases, and enterprise AI integration, with a proven track record of delivering production-ready GenAI solutions.

The architect will collaborate with enterprise architecture, engineering, cloud security, data engineering, and business teams to accelerate AI adoption across insurance and financial services operations.

Key Responsibilities

• Lead end-to-end architecture and technical design of enterprise Generative AI solutions on AWS.
• Design and implement LLM-powered applications using Amazon Bedrock, Claude, Llama, and other suitable foundation models.
• Architect RAG pipelines incorporating document ingestion, embeddings, semantic search, vector databases, and response grounding.
• Build agentic AI solutions using LangChain, LangGraph, and appropriate orchestration frameworks.
• Develop secure integrations between GenAI applications and enterprise APIs, databases, document repositories, and existing applications.
• Design scalable AI architectures using AWS Lambda, API Gateway, S3, IAM, ECS/EKS, and relevant cloud services.
• Establish LLMOps/MLOps practices for model evaluation, observability, deployment, versioning, and operational monitoring.
• Implement AI guardrails, PII protection, encryption, access controls, and responsible AI governance.
• Optimize LLM latency, inference cost, throughput, reliability, and solution performance.
• Lead architecture reviews, proofs of concept, technical design discussions, and engineering implementation.