AI/ML Solution Architect (US)

SnapSoft Kft. • Seattle, WA

11d • Remote

About The Position

SnapSoft is hiring an experienced AI/ML Solutions Architect to design and deliver AI and data solutions across international client projects. The role is fully remote within the United States or Latin America (Brazil or Argentina), with work aligned primarily to US client hours and some overlap with the Hungarian delivery team. The architect serves as a technical lead for project teams of two to three engineers and works with Application Development, Cloud Migration, PMO, Sales, and Presales colleagues. Current projects focus on agentic automation, LLM-based RAG systems, vector databases, and integrating AI into clients’ existing application landscapes.

This is a client-facing role combining solution delivery, technical leadership, and consulting with roughly 20% of time spent supporting presales. The work involves taking ideas from proof of concept through MVP to production, with rapid iteration and feedback from real users, data, and infrastructure. Occasional travel to Hungary or client sites may be required.

Requirements

• At least 5 years of experience, including recent hands-on AI project work, with a background in AI/ML, data, or backend engineering.
• Previous experience in an architect role; this should not be the candidate’s first architect position.
• Hands-on experience with both generative AI and classic machine learning solutions.
• Strong AWS experience, including Amazon Bedrock, and experience with some of SageMaker, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, or Elasticsearch.
• Strong proficiency in Python and hands-on experience with the generative AI ecosystem, such as LangChain, LlamaIndex, agent frameworks, LLM provider SDKs, or 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 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.
• 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.
• 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 Haves

• AWS Solutions Architect Professional certification or another AWS Professional or 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 or cloud-agnostic work.
• Presales engineering experience.

Responsibilities

• Own end-to-end AI/ML solution architecture on client projects, make key technical decisions, and drive delivery.
• Advise clients by understanding their business problems and identifying best-fit technology solutions.
• Support presales activities, including technical discovery, solution design, and estimation; this is roughly 20% of the role.
• Technically lead a team of two to three AI and cloud engineers, mentor junior and mid-level colleagues, and support rapid prototyping and delivery of AI/ML solutions on AWS.
• 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 that deliver LLM, ML, and other AI model functionality.
• Build scalable Python services and supporting data flows for ingestion, transformation, and document preparation, including AI-driven data access such as Text2SQL.
• Integrate AI services with external systems through APIs, authentication, webhooks, and third-party or client-side SaaS platforms.
• Implement AI solutions on AWS, including services such as Bedrock, SageMaker, Lambda, and Textract.
• Describe infrastructure as code using Terraform (Terragrunt) or AWS CloudFormation, and design, build, and maintain CI/CD pipelines across multiple environments.
• Stay current with AWS innovations and contribute to AWS Competency and Service Delivery Programs in support of SnapSoft’s AWS Partner journey.

Benefits

• Flexible working hours with collaboration across US and European teams.
• High visibility across executive leadership and influence on the development of the US delivery organization.
• Work on innovative AWS Cloud Migration projects for fast-growing startups and enterprise customers.
• Fully remote work within the United States or Latin America (Brazil or Argentina).
• Occasional business travel for strategic customer engagements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior