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Senior AI/ML Solutions Architect (AWS)

powermind contractors โ€ข European Union
Remote
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AI Summary

Design and lead end-to-end AI/ML solutions for B2B clients, focusing on LLMs, GenAI, NLP, Computer Vision, and recommendation systems. Architect scalable production services on AWS, mentor small teams, and implement MLOps pipelines using Terraform and CI/CD. Requires 5+ years AWS experience, deep expertise in one AI domain, and fluent English.

Key Highlights
Senior AI/ML Solutions Architect with 5+ years AWS experience
Lead end-to-end solution design from concept to deployment
Project-based engagements $45โ€“55 per hour, 100% remote
Key Responsibilities
Take end-to-end ownership of AI/ML solutions from concept to deployment as the key technical decision-maker
Lead and mentor a small team of AI and cloud engineers when project calls for it
Act as a trusted technical advisor to clients, translating business problems into working technology
Architect and build scalable, production-grade AI/ML services on AWS
Work extensively with LLMs (Amazon Bedrock and external providers), RAG, agentic workflows, and advanced prompt engineering
Solve applied CV and NLP use cases like translation, transcription, Text2SQL, document intelligence, and intent recognition
Use AWS managed services, serverless compute, and intelligent document processing
Build and maintain resilient ETL and data pipelines
Define infrastructure as code (Terraform) and CI/CD pipelines
Keep exploring new cloud and AI tech
Technical Skills Required
Amazon Web Services Python Terraform
Benefits & Perks
100% remote work
$45โ€“55 per hour rate
Project-based engagements with extension and follow-on work possible

Job Description


AI/ML Solutions Architect (AWS) โ€” B2B Contract, Remote


We're looking for a senior AI/ML Solutions Architect with a strong AWS background to join our client, an AWS Premier Tier Services Partner known for over a decade of solid

engineering and genuinely taking care of their people.


Fully remote, B2B, project-based engagements with a rate of $45โ€“55 per hour depending on experience. Strong delivery on the first project opens the door to follow-on work.


The role


You'll engage directly with clients, design solutions, and lead the technical implementation. This is a senior technologist position. You architect and design, sometimes lead a small team of 2โ€“3 engineers, and sometimes single-handedly build a smaller MVP or PoC yourself.

The project landscape is mostly green-field, spanning LLMs and GenAI, NLP, Computer Vision, recommendation systems, and conversational AI. Broad exposure helps, but deep expertise in at least one of these domains is required.


What you'll do


Leadership and strategy

  • Take end-to-end ownership of AI/ML solutions, from concept to deployment, as the key technical decision-maker
  • Lead and mentor a small team of AI and cloud engineers when the project calls for it
  • Act as a trusted technical advisor to clients, translating business problems into working technology


Architecture and development

  • Architect and build scalable, production-grade AI/ML services on AWS
  • Work extensively with LLMs (Amazon Bedrock and external providers), RAG, agentic workflows, and advanced prompt engineering
  • Solve applied CV and NLP use cases like translation, transcription, Text2SQL, document intelligence, and intent recognition


Infrastructure and MLOps

  • Use AWS managed services, serverless compute, and intelligent document processing
  • Build and maintain resilient ETL and data pipelines
  • Define infrastructure as code (Terraform) and CI/CD pipelines
  • Keep exploring new cloud and AI tech


Must have

  • 5+ years in software/cloud engineering, strong production AWS experience
  • Hands-on LLM/GenAI work plus deep expertise in at least one AI domain (NLP, CV, RecSys)
  • Strong Python and MLOps fundamentals
  • Infrastructure as code (Terraform preferred)
  • Fluent English and confidence working directly with clients


Details

  • B2B contract via PowerMind Contractors
  • 100% remote, EU-friendly time zones
  • Project-based engagements, typically 2โ€“6 months, extension and follow-on projects possible
  • $45โ€“55 / hour



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