AI/ML Solution Architect – LATAM/US

SnapSoft

. Own end-to-end AI/ML solution architecture on client projects and drive delivery teams .

Posted 10/30/2026full-timeRemote • Brazil, Argentina, United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML solution architecture, including the development of LLM-powered applications and integration of AI services with external systems. Proficient in Python and AWS technologies, with strong problem-solving and communication skills in client-facing roles.

Highest-signal resume keywords

AI/ML Solution ArchitectureAWS ExperiencePython ProficiencyLLM Application ConceptsAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML DevelopmentPython ProgrammingSQLPrompt EngineeringData EngineeringREST API DevelopmentInfrastructure as CodeCI/CD Pipeline DesignAgentic Systems DesignVector Database Management

Soft Skills

Excellent CommunicationProblem-Solving SkillsConsulting MindsetBusiness AcumenCollaborative Teamwork

Tools & Technologies

AWS BedrockSageMakerTerraformAWS CloudFormationLangChainLlamaIndexPydanticOpenSearchElasticSearchText2SQL

Certifications & Qualifications

Bachelor's Degree in Computer ScienceAWS Solutions Architect Professional

Industry Keywords

AI ProjectsGenAICloud EngineeringData EngineeringPre-sales Engineering

Tech Stack

Tools & technologies

AWSCloudElasticSearchETLPythonSQLTerraform

About the role

Key responsibilities & impact

Own end-to-end AI/ML solution architecture on client projects and drive delivery teams
Act as a trusted advisor to clients, understand business problems and provide technology consulting
Support presales activities, including technical discovery, solution design and estimation, for roughly 20% of the time
Technically lead 2–3 AI and cloud engineers and mentor junior and mid-level colleagues
Design and build agentic systems that plan, call tools and automate business workflows
Develop LLM-powered applications and RAG pipelines, including chunking, embedding, retrieval strategies, evaluation and iteration
Work with vector databases and search, including indexing strategies, hybrid and semantic search, and relevance tuning
Perform prompt engineering, model selection and systematic evaluation of LLM outputs
Develop scalable services implementing AI/ML functionality
Build scalable Python services and data flows for ingestion, transformation and document preparation, including Text2SQL
Integrate AI services with external systems through REST APIs, authentication, webhooks and SaaS platforms
Implement AI solutions on AWS, including Bedrock, SageMaker, Lambda and Textract
Define infrastructure as code with Terraform/Terragrunt or AWS CloudFormation
Design, build and maintain CI/CD pipelines across multiple environments
Stay current with AWS innovations and contribute to AWS Competency and Service Delivery Programs
Collaborate with Application Development, Cloud Migration, PMO, Sales and Presales teams
Work on international client projects with real users, data and infrastructure

Requirements

What you’ll need

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, such as LangChain, LlamaIndex, agent frameworks, LLM provider SDKs and Pydantic
Solid understanding of LLM application concepts, including 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, including ETL, pipelines and 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, consulting mindset, business acumen and comfort working in client-facing situations
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 the Hungarian team
Professional working proficiency in English
Nice to have: AWS Solutions Architect Professional or another AWS Professional/Specialty certification
Nice to have: Hands-on experience with Amazon Bedrock AgentCore
Nice to have: Background at an AWS partner or similar professional services company
Nice to have: Experience with multiple cloud providers
Nice to have: Pre-sales engineering experience

Benefits

Comp & perks

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 the US delivery organization evolves
Work on innovative AWS Cloud Migration projects for fast-growing startups and enterprise customers
Occasional business travel for strategic customer engagements
Company culture based on autonomy and accountability