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AI AWS Technical Architect

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Purple Drive Technologies LLC

Parsippany-Troy Hills, NJ (In Person)

Full-Time

Posted 4 days ago (Updated 2 days ago) • Actively hiring

Expires 6/28/2026

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Job Description

Job Title:
AI AWS Technical Architect Experience:
6-8
Years Job Type:
Full-Time Job Summary We are seeking an experienced AI AWS Technical Architect with strong expertise in designing and implementing enterprise-scale AI/ML and Generative AI solutions on AWS cloud platforms. The ideal candidate will possess hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud-native AI architectures, MLOps, and scalable distributed systems. This role requires strong technical leadership, architecture design capabilities, and hands-on engineering expertise to deliver secure, scalable, and high-performance AI-driven applications.
Required Skills Strong expertise in:
AWS Cloud Architecture Generative AI Large Language Models (LLMs) AI/ML Solution Design Hands-on experience with: Amazon Bedrock SageMaker AWS Lambda Amazon EKS API Gateway Strong programming expertise in: Python Node.
js Experience with:
LangChain AutoGen LangGraph Agentic AI frameworks Strong understanding of: RAG architectures Embeddings Vector databases Prompt engineering Experience with vector databases such as: Qdrant Pinecone OpenSearch MongoDB Atlas Vector Search Expertise in: CI/CD pipelines MLOps Kubernetes Containerization Strong understanding of: Responsible AI AI governance Security best practices FinOps optimization Key Responsibilities Design and architect scalable AI/ML and Generative AI solutions on AWS cloud Build and implement RAG-based enterprise AI systems using LLMs and vector databases Develop AI orchestration workflows and agentic AI solutions using modern AI frameworks Architect scalable cloud-native AI infrastructure leveraging AWS services Define embedding strategies, prompt engineering standards, and retrieval optimization techniques Establish MLOps practices including: CI/CD pipelines Model deployment Monitoring Lifecycle management Implement security, governance, and Responsible AI best practices Optimize AI systems for: Performance Reliability Cost efficiency Scalability Collaborate with engineering, DevOps, product, and business teams to drive AI initiatives Mentor technical teams and provide architectural guidance across AI programs Preferred Qualifications Experience building enterprise AI platforms and distributed systems AWS Certifications preferred: AWS Solutions Architect AWS Machine Learning Specialty Exposure to Kubernetes and cloud-native deployment patterns Strong communication and stakeholder management skills