AWS AI Solution Architect

XCUTIVES INC.; Edison (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

XCUTIVES INC. in Edison, NJ is seeking a hands-on AWS Solution Architect with 8-12 years of experience to design and deliver cloud-native, AI-powered enterprise solutions.

The role emphasizes AWS Cloud, Generative AI, Agentic AI, modernization, and scalable distributed architectures, translating business requirements into secure, resilient production-ready designs. You will architect AWS-native AI solutions, lead architecture reviews, guide engineering teams, and ensure observability,

Qualifications

• 8-12 years of hands-on experience designing and delivering cloud-native, AI-powered enterprise solutions.
• Strong expertise in AWS cloud services, data engineering, and scalable distributed architectures.
• Experience with modern software delivery including CI/CD, IaC, observability, and governance.
• Excellent customer-facing communication and ability to translate business needs into architecture designs.

Responsibilities

• Architect and implement AWS-native AI solutions using AWS services (Bedrock, Lambda, ECS/EKS, SageMaker, API Gateway, S3, Glue, Redshift, DynamoDB).
• Design Agentic AI and RAG-based solutions, including orchestration, tool integration, and security guardrails.
• Define cloud architecture standards, microservices patterns, serverless designs, and governance frameworks.
• Lead customer workshops, solution design sessions, and guide engineering teams through implementation.

Skills

AWS Cloud Architecture

Amazon Bedrock

Generative AI

Agentic AI

RAG

Python

Solution design

Job description

Location: Onsite - Edison, NJ (Open to candidates from the tristate area)

Travel: 30%

Skillset: AWS AI tech stack experience+ Agentic AI +Platform build and Engineering

Role Overview: We are seeking a hands-on AWS Solution Architect with 8-12 years of experience in designing and delivering cloud-native, AI-powered enterprise solutions. The ideal candidate will bring strong expertise in AWS Cloud, Generative AI, Agentic AI, application modernization, and scalable distributed architectures, with the ability to translate business requirements into secure, resilient, and production-ready solutions.

Key Responsibilities

• Architect and implement AWS-native AI solutions using Amazon Bedrock, AWS Lambda, Amazon ECS/EKS, SageMaker, API Gateway, S3, Glue, Redshift, DynamoDB, and related AWS services.
• Design Agentic AI and RAG-based solutions, including AI orchestration, tool integration, security guardrails, and enterprise-scale deployment patterns.
• Define cloud architecture standards, microservices patterns, serverless designs, integration approaches, observability, resiliency, and governance frameworks.
• Lead customer workshops, solution design sessions, architecture reviews, and guide engineering teams through implementation.

Required Skills

• AWS Cloud Architecture, Amazon Bedrock, Generative AI, Agentic AI, RAG, Python, and solution design.
• Microservices, serverless computing, containers, Kubernetes/EKS, API-led integration, and event-driven architecture.
• Data engineering, data lakes, AWS Glue, Redshift, DynamoDB, CI/CD, DevOps, Infrastructure as Code, and observability.
• Strong customer-facing communication, consulting mindset, technical leadership, and ability to align business outcomes with AWS architecture.