Remote GenAI Architect: AWS Bedrock & LLM Lead

Quantiphi; Northern (KY); Hybrid; USD 170,000 - 210,000; Full time

Job summary

Quantiphi is seeking a GenAI Architect / Lead to design and deliver enterprise-grade GenAI solutions on AWS Bedrock and Agentcore. You will build scalable LLM-based applications, implement RAG pipelines, and orchestrate agentic AI workflows.

You will lead architecture, guide teams, code hands-on, ensure performance, cost efficiency, and security. Requires 8+ years of AWS ML experience, expertise with Sagemaker, Bedrock, LangChain, and AgentCore, plus strong collaboration across product, data,

Qualifications

• 8+ years of hands-on experience implementing and developing cloud ML solutions on AWS.
• Hands-on experience with AWS services including Sagemaker and Bedrock for diverse data sources and real-time/batch apps.
• Experience designing agentic AI architectures using LangChain, Strand Agents, etc.
• Hands-on experience with Amazon AgentCore for production-grade agentic AI apps (memory, tool registry, observability).
• Architect and deploy scalable AI solutions on AWS using Lambda, Bedrock, Step Functions, S3 and API Gateway.
• Proficiency with LLM APIs and multi-model orchestration; familiarity with prompt templating and context management.
• Strong knowledge of vector databases for embeddings, retrieval, and RAG architectures.
• Experience with workflow orchestration tools like Airflow, StepFunctions, SageMaker Pipelines, Kubeflow.

Responsibilities

• Design and implement GenAI solutions using AWS Bedrock and Agentcore.
• Define architecture for LLM-based apps, including RAG pipelines and agentic workflows.
• Develop and orchestrate agentic AI workflows for multi-step reasoning and tool use.
• Build and manage RAG pipelines with embeddings and vector stores.
• Integrate LLM capabilities into enterprise apps via APIs and backend services.
• Optimize prompts for accuracy, relevance, and performance; manage context and memory.
• Collaborate with cross-functional teams for end-to-end delivery; ensure security and governance.
• Provide technical leadership while remaining hands-on and mentoring team members.

Skills

GenAI Architecture

AWS Bedrock

LangChain

AgentCore

SageMaker

LLM APIs

Prompt Engineering

Vector Databases

Tools

Lambda

S3

API Gateway

Step Functions

SageMaker Pipelines

Airflow

Kubeflow

Kubeflow

Job description

Quantiphi is seeking a GenAI Architect / Lead to design and deliver enterprise-grade GenAI solutions on AWS Bedrock and Agentcore. You will build scalable LLM-based applications, implement RAG pipelines, and orchestrate agentic AI workflows.

You will lead architecture, guide teams, code hands-on, ensure performance, cost efficiency, and security. Requires 8+ years of AWS ML experience, expertise with Sagemaker, Bedrock, LangChain, and AgentCore, plus strong collaboration across product, data,