AI​/ML Solution Architect; LATAM

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 Snap Soft's AI/ML Service Line and work on international projects with our highly qualified engineering team, remotely and aligned to US working hours.

You will see a lot of ideas move from POC to MVP to production, which means fast iteration and quick feedback on whether something actually works. 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.

This is a client‑facing role. Alongside delivery, you will spend roughly 20% of your time supporting presales activities. 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

Act as a trusted advisor to clients: understand their business problems and provide technology consulting to identify the best‑fit solution

Support presales activities (roughly 20% of your time), such as technical discovery, solution design and estimation

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

Design and build agentic systems that plan, call tools and automate real business workflows

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

Perform prompt engineering, model selection and systematic evaluation of LLM outputs

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 Text2

SQL

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. Bedrock, Sage Maker, Lambda, Textract)

Describe infrastructure as code with Terraform (Terragrunt) or AWS Cloud Formation, 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 Snap Soft's AWS Partner journey

5+ years of experience, including recent hands‑on work on AI projects, from an AI/ML, data or backend engineering background

Previous experience in an architect role (this should not be your first architect position)

Hands‑on experience with both GenAI and classic ML solutions

Strong AWS experience, including Amazon Bedrock, and experience with some of:
Sage Maker, Glue, MWAA, EMR, RDS, Aurora, S3, Open Search, Elastic Search

Strong…