AI/ML Solution Architect (US)

SnapSoft Kft. • Seattle, WA

2d • Remote

About The Position

SnapSoft is hiring an AI/ML Solution Architect for a fully remote, full-time position in the United States or Latin America (Brazil or Argentina). The role works across international client projects with SnapSoft’s AI/ML Service Line, with most working hours overlapping North American client hours and several hours of overlap with the Hungarian delivery team. Occasional travel to Hungary or client sites may be required.

The architect designs and delivers AI and data solutions, serves as a technical lead for project teams of two to three engineers, and advises clients on suitable technology solutions. Current projects focus on agentic automation, LLM-based retrieval-augmented generation (RAG), vector databases, and integrating AI into existing application environments. The role collaborates with Application Development and Cloud Migration colleagues and with PMO, Sales, and Presales teams. It is client-facing, and roughly 20% of the time is dedicated to presales support.

The position covers end-to-end solution architecture and delivery, hands-on development of AI/ML and data solutions on AWS, mentoring, and support for SnapSoft’s AWS Partner journey. Solutions may progress from proof of concept through MVP to production and must work with real users, data, and infrastructure.

Requirements

• At least 5 years of experience, including recent hands-on work on AI projects, with a background in AI/ML, data, or backend engineering.
• Previous experience in an architect role; this must not be the candidate’s first architect position.
• Hands-on experience with both generative AI and traditional 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 knowledge 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 several hours of overlap with the Hungarian team.
• Professional working proficiency in English.

Nice To Haves

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

Responsibilities

• Own end-to-end AI/ML solution architecture for client projects, make key technical decisions, and drive delivery.
• Advise clients by understanding their business problems and identifying suitable technology solutions.
• Support presales activities, including technical discovery, solution design, and estimation; this is roughly 20% of the role.
• Technically lead two to three AI and cloud engineers in prototyping and delivering AI/ML solutions on AWS, 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 that implement AI/ML functionality using LLMs, ML, and other AI models.
• 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 using 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.
• Define infrastructure as code using Terraform (Terragrunt) or AWS CloudFormation, and design, build, and maintain CI/CD pipelines across multiple environments.
• Keep up to date with AWS innovations and contribute to AWS Competency and Service Delivery Programs in support of SnapSoft’s AWS Partner journey.
• Collaborate with Application Development, Cloud Migration, PMO, Sales, and Presales colleagues on client projects.

Benefits

• Autonomy- and accountability-based company culture.
• Flexible working hours while collaborating across US and European teams.
• High visibility across executive leadership and influence on the evolution of the US delivery organization.
• Opportunity to work on innovative AWS Cloud Migration projects for fast-growing startups and enterprise customers.
• Occasional business travel for strategic customer engagements.

What This Job Offers

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