AWS Architect

FalconSmartIT; Dover (DE); Hybrid; USD 124,000 - 207,000; Full time

Job summary

FalconSmartIT in Reading, PA is seeking an experienced AWS Architect to design and deploy enterprise-scale AI/ML solutions. This contract role requires hands-on technical leadership to architect end-to-end AI/ML platforms and production-grade applications on AWS.

You will mentor teams, implement agentic workflows using AWS Agent Core, and collaborate with stakeholders to ensure scalable, secure, and governable deployments.

Qualifications

• Strong experience designing and deploying AI/ML and Generative AI solutions from proof of concept through production implementation.

Responsibilities

• Design and implement end-to-end AI/ML architectures and production-ready solutions.
• Architect, provision, and manage secure, scalable AI infrastructure on AWS using IaC (Terraform).
• Build, optimize, and deploy multi-agent systems leveraging AWS Agent Core, Bedrock Agents, and Knowledge Bases.
• Develop data, model, and inference pipelines integrating LLMs and vector databases.
• Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering for enterprise AI.
• Establish best practices across AI Engineering, MLOps, and LLMOps for scalable deployments.
• Provide technical leadership, mentor teams, and collaborate with stakeholders to deliver AI initiatives.

Skills

AI/ML design

Generative AI

AWS

Terraform

Job description

Job Title:

AWS Architect

Location:

Reading, PA(Onsite / Hybrid)

Job Type:

Contract

Job Description:

We are seeking an experienced AI Architect to design, build, and deploy enterprise-scale AI and LLM solutions. This role requires a hands-on technical leader who can architect end-to-end AI/ML platforms, develop production-grade applications, and implement advanced agentic workflows using AWS Agent Core. The ideal candidate will combine deep expertise in AI engineering, cloud infrastructure, and software development with the ability to mentor teams and establish best practices for scalable AI delivery.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures and develop production-ready solutions using modern AI frameworks and cloud-native technologies.
• Architect, provision, and manage secure, scalable, and resilient AI infrastructure on AWS using Terraform and Infrastructure as Code principles.
• Build, optimize, and deploy advanced multi-agent systems and orchestration frameworks leveraging AWS Agent Core, Amazon Bedrock Agents, and Knowledge Bases.
• Develop and maintain robust data, model, and inference pipelines that integrate LLMs, vector databases, and enterprise applications.
• Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases.
• Establish and drive best practices across AI Engineering, MLOps, and LLMOps to ensure scalable, reliable, and governed AI deployments.
• Provide technical leadership, mentor engineering teams, and collaborate with business and technology stakeholders to deliver AI initiatives successfully.

Required Skills & Qualifications:

• Strong experience designing and deploying AI/ML and Generative AI solutions from proof of concept through production implementation.