AI/ML Solution Architect (LATAM/US)

Fully remote position in Latin America (Brazil or Argentina) or in the United States · Full-time employment · Daily overlap with both Central European Time and North American client hours.

Are you an experienced

AI/ML Solutions Architect

with hands-on AWS experience? Join

SnapSofts AI/ML Service Line

and work on international projects with our highly qualified engineering team, remotely and aligned to US working hours.
What we build has to survive contact with real users, real data and real infrastructure.
As

an AI/ML Solutions Architect

, you will design and deliver AI and data solutions across various client projects and act as the technical lead of project teams of 2-3 engineers. Our current work centres on agentic automation, LLM-based RAG systems, vector databases and integrating AI into our clients existing application landscapes. You will work closely with colleagues from our Application Development and Cloud Migration service lines, as well as our PMO, Sales and Presales teams, on projects where AI, engineering and cloud come together.
Most of your working day will overlap with US time zones, and a few hours of overlap with our Hungarian delivery team are needed. Occasional travel to Hungary or to client sites may come up, but it is rare.
Own the end-to-end AI/ML solution architecture on client projects, acting as a key decision-maker and driving the delivery team
Technically lead a team of 2-3 AI and cloud engineers focused on fast prototyping and delivery of AI/ML solutions on AWS, and mentor junior and mid-level colleagues
Develop LLM-powered applications, including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration
Work with vector databases and search: indexing strategies, hybrid and semantic search, relevance tuning
Develop highly scalable services realizing AI/ML functionality (LLM, ML and other AI models)
Build scalable Python services and the data flows behind them (ingestion, transformation, document preparation), including AI-driven data access such as Text2SQL
Integrate AI services with external systems through APIs: REST endpoints, authentication, webhooks, third-party and client-side SaaS platforms
Implement AI solutions on AWS (e.g. Describe infrastructure as code with Terraform (Terragrunt) or AWS CloudFormation, and design, build and maintain CI/CD pipelines across multiple environments
Stay up to date with AWS innovations and contribute to AWS Competency and Service Delivery Programs to support SnapSofts AWS Partner journey
5+ years of experience, including recent hands-on work on AI projects, from an AI/ML, data or backend engineering background
~ Hands-on experience with both GenAI and classic ML solutions
~ Strong

AWS

experience, including Amazon Bedrock, and experience with some of: Strong proficiency in Python and hands-on experience with the GenAI ecosystem (e.g. Solid understanding of LLM application concepts: RAG, embeddings, vector databases, tool calling, agent patterns, prompt engineering and evaluation
~ Good command of SQL and a working understanding of core data engineering concepts (ETL, pipelines, data modelling)
~ Proven experience designing, consuming and integrating APIs, and connecting AI services to existing systems
~ A bachelors degree in Computer Science, Information Technology or a related field
~ Availability to work in US time zones, with a few hours of overlap with our Hungarian team
~ Professional working proficiency in English

AWS Solutions Architect Professional or another AWS Professional/Specialty certification
Background at an AWS partner or another professional services company similar to SnapSoft
Experience with multiple cloud providers (cloud-agnostic experience)
Fully remote position anywhere in the United States OR LATAM (Brazil or Argentina).
Flexible working hours with collaboration across US and European teams.
Work on innovative AWS Cloud Migration projects for fast-growing startups and enterprise customers.
Travel: Occasional business travel for strategic customer engagements.