AWS GenAI Lead Engineer

Job Description

Job Description

Request ID: 109910-1
Title: AWS GenAI Lead Engineer
Locations: Malvern, PA /Charlotte, NC
Duration: 6 Months
Pay Range: $50 - $60/Hour on W2/C2C (All inclusive) Introduction

We are seeking a highly skilled AWS GenAI Lead Engineer to analyze business requirements and processes, design intelligent agent workflows, and deliver secure, scalable, enterprise-grade agentic applications. The role combines hands-on engineering with technical leadership across the AWS AI ecosystem.

Required Skills & Qualifications

• 8 years of software engineering experience, including strong hands-on development with Python and AWS cloud-native application patterns.
• 2 years of AI/ML or Generative AI engineering experience, with production implementation of LLM-powered applications or autonomous agents.
• Hands-on expertise with AWS Bedrock, foundation-model integration, Bedrock Agents or Knowledge Bases, and relevant AWS serverless or container services.
• Practical experience with Strands Framework and at least one agent orchestration framework such as LangChain or LangGraph.
• Strong FastAPI, REST API, asynchronous programming, authentication, integration, and microservices development capabilities.
• Experience with RAG, prompt engineering, vector databases, embeddings, semantic search, agent tools, memory, and multi-step workflows.
• Knowledge of Docker, CI/CD, infrastructure as code, logging, monitoring, testing, and secure production deployment practices.
• Excellent stakeholder communication, requirements analysis, solution consulting, technical leadership, and team mentoring skills.
• AWS certification in Solutions Architecture, Machine Learning, AI, or a related discipline is preferred.
• Prior work experience at client or in client's Industry.

Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Experience in the BFSI industry.
• Additional AWS certifications.
• Experience with observability and testing in production environments.

Day-to-Day Responsibilities

• Analyze business requirements and design intelligent agent workflows.
• Deliver secure, scalable, enterprise-grade agentic applications.
• Provide technical leadership across the AWS AI ecosystem.

Company Benefits & Culture

• Comprehensive health and wellness benefits.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.

For immediate consideration please click APPLY to begin the screening process with Alex.