AI/ML Solution Architect (LATAM/US)

SnapSoft Ltd.; Oregon; A distancia; USD 140.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible hours

Global collaboration

Travel opportunities

Descripción de la vacante

SnapSoft Ltd. in a fully remote model seeks an experienced AI/ML Solutions Architect to lead end-to-end AI/ML solutions, guiding a small delivery team and driving fast prototyping on AWS-based architectures including LLM-powered apps.

You will work with cross-functional global teams, support presales, and ensure scalable Python services and CI/CD pipelines while delivering value for diverse clients.

Formación

• 5+ years of hands-on AI/ML experience across AI/ML, data or backend engineering.
• Previous architect role with client-facing responsibilities.
• Hands-on GenAI and traditional ML experience.
• Strong AWS experience including Bedrock, SageMaker, Glue, MWAA, EMR, S3.
• Proficiency in Python and GenAI ecosystem (LangChain, LlamaIndex, LLM SDKs).
• Solid understanding of RAG, embeddings, vector databases, tool calling and prompts.
• SQL knowledge and data engineering concepts (ETL, pipelines, modeling).
• Experience designing and consuming APIs and integrating AI with systems.
• Bachelor's degree in CS/IT or related field; excellent communication and consulting mindset.
• Ability to work with global, cross-functional teams; US time zone overlap required.

Responsabilidades

• Own the end-to-end AI/ML solution architecture on client projects and lead delivery teams.
• Act as trusted advisor to clients; identify best-fit technology solutions.
• Support presales activities including technical discovery and estimation.
• Technically lead a 2-3 engineer team on fast prototyping and delivery.
• Design agentic systems that plan tools and automate workflows.
• Develop LLM-powered applications and RAG pipelines; evaluate outputs.
• Work with vector databases, indexing, and hybrid/semantic search.
• Prompt engineering, model selection and evaluation of results.
• Build scalable Python services and data flows (ingestion, transformation, Text2SQL).
• Integrate AI services with external systems via REST, authentication and webhooks.
• Implement AI solutions on AWS (Bedrock, SageMaker, Lambda, Textract) and IaC (Terraform).
• Maintain CI/CD pipelines across environments; stay updated on AWS innovations.

Conocimientos

AI/ML Architect

AWS expertise

Python

GenAI

RAG pipelines

Vector databases

API integration

Terraform

Bedrock

SageMaker

Educación

Bachelor's degree in Computer Science or related field

Herramientas

AWS

Terraform

CloudFormation

CI/CD pipelines

Descripción del empleo

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 SnapSoft'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.

What you'll be doing

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 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. Bedrock, SageMaker, Lambda, Textract)

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 SnapSoft's AWS Partner journey

You are looking for us, if you have

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: SageMaker, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, ElasticSearch

Strong proficiency in Python and hands‑on experience with the GenAI ecosystem (e.g. LangChain, LlamaIndex, agent frameworks, LLM provider SDKs, Pydantic)

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 bachelor's degree in Computer Science, Information Technology or a related field

Excellent communication and problem‑solving skills, a consulting mindset and business acumen, and comfort working in client‑facing situations

The ability to work independently and collaboratively with global, cross‑functional teams in a fast‑paced environment

Availability to work in US time zones, with a few hours of overlap with our Hungarian team

Professional working proficiency in English

Nice to have

AWS Solutions Architect Professional or another AWS Professional/Specialty certification

Hands‑on experience with Amazon Bedrock AgentCore

Background at an AWS partner or another professional services company similar to SnapSoft

Experience with multiple cloud providers (cloud-agnostic experience)

What we offer

A company culture based on autonomy and accountability

Fully remote position anywhere in the United States OR LATAM (Brazil or Argentina).

Flexible working hours with collaboration across US and European teams.

High visibility across executive leadership with real influence on how our US delivery organization evolves.

Work on innovative AWS Cloud Migration projects for fast-growing startups and enterprise customers.

Travel: Occasional business travel for strategic customer engagements.