AI/ML Solution Architect – LATAM/US

🔥 12 hours ago

🌐 Brazil, Argentina, +1 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SnapSoft

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

SaaS • Cloud Computing • Software Development

SnapSoft is a technology company specializing in custom software application development, cloud migration, AI/ML and analytics, cloud security, and DevOps solutions. As a Certified AWS partner, SnapSoft excels in planning and managing cloud-based projects, including data analytics, e-commerce logistics, and system migrations to AWS platforms. The company helps businesses enhance their technological capabilities with cutting-edge tools and agile delivery processes, offering scalable, secure, and innovative solutions that empower companies to adapt swiftly to market changes.

📋 Description

• 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

• 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

• 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

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