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
Key Responsibilities
Technical Skills Required
Benefits & Perks
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 $45โ55 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 2โ3 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
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- 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
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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 2โ6 months, extension and follow-on projects possible
- $45โ55 / hour
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