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Internship Aws Machine Learning Jobs (NOW HIRING)

Quantiphi, Inc.

Technical Architect - Machine Learning

OR · Remote

$66.25 - $80/hr

We have been recognized with: * 3x AWS AI/ML award wins. * 3x NVIDIA Partner of the Year title ... Role: Architect - Machine Learning Experience Level: 7+ years Employment type: Full Time Location:

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As of Jun 4, 2026, the average yearly pay for internship aws machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
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AI AWS Technical Architect

Purple Drive Technologies

Parsippany, NJ • On-site

$65 - $85.50/hr

Full-time

Posted 9 days ago

Job description

Overview:
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

Apply