Senior Gen AI Enterprise Architect (AWS & LLMs)

Aqua IT; Springfield (VA); On-site; USD 150,000 - 230,000; Full time

Job summary

Aqua IT in the United States seeks a highly experienced engineer to support a critical GenAI optimization engagement for a large enterprise. The role requires deep AWS cloud Architecture expertise and hands-on experience with modern GenAI workflows, model routing, and orchestration.

You will design scalable enterprise platforms, implement cost-aware, secure pipelines, collaborate in Agile teams, and deliver thorough documentation and architecture artifacts to ProServe standards.

Qualifications

• 5+ years of software development and cloud architecture experience.
• 2+ years of hands-on AWS experience with production workloads.
• 2+ years of Generative AI technologies and LLM deployment.
• Strong Python and infrastructure-as-code (IaC) skills.
• Experience with vector databases and semantic search technologies.
• Expert-level knowledge of AWS services including Bedrock, OpenSearch, CloudWatch, ECS/EKS, RDS/DynamoDB.

Responsibilities

• Architect Gen AI solutions that scale to enterprise workloads with high availability and cost management.
• Build and maintain orchestration layers to manage multi-model workflows.
• Develop prompt engineering standards and context management for accurate routing and history analysis.
• Collaborate with stakeholders, participate in Agile ceremonies, and deliver architecture diagrams and handoff artifacts consistent with ProServe standards.

Skills

Python

IaC

GenAI

Architecture design

Problem solving

Communication

Tools

Bedrock (Amazon Bedrock)

OpenSearch

CloudWatch

ECS/EKS

RDS/DynamoDB

LangChain

Vector databases

Job description

Aqua IT in the United States seeks a highly experienced engineer to support a critical GenAI optimization engagement for a large enterprise. The role requires deep AWS cloud Architecture expertise and hands-on experience with modern GenAI workflows, model routing, and orchestration.

You will design scalable enterprise platforms, implement cost-aware, secure pipelines, collaborate in Agile teams, and deliver thorough documentation and architecture artifacts to ProServe standards.