Gen AI Architect/Lead: AWS Bedrock & LLM Solutions

Robotic Technologies Automation; Newark (NJ); On-site; USD 95,000 - 136,000; Full time

Job summary

Robotic Technologies Automation in Newark, NJ seeks a Gen AI Architect/Lead for a 12-month engagement to design and lead scalable AI solutions using AWS Bedrock, Python, and Generative AI.

You will design and architect GenAI/LLM solutions, build RAG pipelines, manage API and serverless architectures, and provide technical leadership across teams, ensuring scalability, security, performance, and cost optimization.

Qualifications

• Strong expertise in AWS, Python, and Generative AI to design scalable AI solutions.
• Experience with AWS services, cloud architecture, APIs, and serverless technologies.
• Design and architect Generative AI/LLM solutions using AWS Bedrock.
• Lead technical design, development, code reviews, and solution implementation.
• Build RAG pipelines, prompt engineering, AI agents, and LLM-based applications.
• Experience with Bedrock models, knowledge bases, embeddings, and vector databases.
• Communicate effectively and provide technical leadership across teams.

Responsibilities

• Design and architect Generative AI/LLM solutions on AWS Bedrock.
• Lead development and code reviews for AI projects.
• Ensure scalability, security, performance, and cost optimization.
• Collaborate with stakeholders and communicate technical directions.

Skills

Python

Generative AI

AI/ML development

RAG pipelines

Prompt engineering

LLM applications

Cloud architecture

AWS Bedrock

APIs

Serverless

Leadership

Communication

Tools

Bedrock models

Vector databases

Knowledge bases

Embeddings

Job description

Robotic Technologies Automation in Newark, NJ seeks a Gen AI Architect/Lead for a 12-month engagement to design and lead scalable AI solutions using AWS Bedrock, Python, and Generative AI.

You will design and architect GenAI/LLM solutions, build RAG pipelines, manage API and serverless architectures, and provide technical leadership across teams, ensuring scalability, security, performance, and cost optimization.