Remote AI/ML Solutions Architect — AWS Lead

SnapSoft

United States

Remote

USD 150.000 - 260.000

Vollzeit

vor 29 Stunden
Sei unter den ersten Bewerbenden

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Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Fully remote (US or LATAM)
Flexible hours
High visibility with leadership
Occasional travel

Zusammenfassung

SnapSoft is seeking an experienced AI/ML Solutions Architect to lead end-to-end AI/ML architecture across client projects. You will guide delivery teams, advise clients on technology choices, and support presales with solution design and estimation.

The role focuses on agentic automation, LLM-based RAG systems, vector databases, and integrating AI into client landscapes. Remote work across US/LATAM with some travel may be required.

Qualifikationen

  • 5+ years of AI/ML, data or backend engineering background
  • Previous architect role experience
  • Hands-on GenAI and classic ML experience
  • Strong AWS experience including Bedrock, SageMaker, and related services
  • Proficient in Python and GenAI ecosystem (LangChain, LlamaIndex, SDKs)
  • Solid LM/L2 question framing, embeddings, vector databases, tool calling and evaluation
  • Good SQL and data engineering fundamentals (ETL, pipelines, data modelling)
  • Bachelor's degree in CS/IT or related field
  • Excellent communication and consulting mindset
  • Ability to work with global cross-functional teams in fast-paced environment
  • Availability to work in US time zones with some overlap with Hungary
  • Professional working English proficiency

Aufgaben

  • Own end-to-end AI/ML solution architecture on client projects and lead delivery teams of 2-3 engineers
  • Act as trusted client advisor: understand business problems and propose tech solutions
  • Support presales: discovery, solution design and estimation
  • Technically lead 2-3 AI and cloud engineers for prototyping and delivery
  • Design and build agentic systems that plan, call tools and automate workflows
  • Develop LLM-powered apps including RAG pipelines and evaluation
  • Work with vector databases and hybrid/semantic search tuning
  • Perform prompt engineering and model selection/evaluation
  • Develop scalable Python services and data flows (ingestion, transformation)
  • Integrate AI services with external systems via APIs (REST, webhooks)
  • Implement AI solutions on AWS (Bedrock, SageMaker, Lambda, Textract)
  • Describe IaC with Terraform/Terragrunt or CloudFormation; maintain CI/CD across envs
  • Stay updated on AWS innovations and contribute to SnapSoft’s AWS journey

Kenntnisse

Python
English
Lead Teams
Client facing
GenAI
AWS
SQL
API design

Ausbildung

Bachelor's degree in CS/IT or related

Tools

Bedrock
SageMaker
Terraform
CloudFormation
MWAA
OpenSearch
ElasticSearch

Jobbeschreibung

SnapSoft is seeking an experienced AI/ML Solutions Architect to lead end-to-end AI/ML architecture across client projects. You will guide delivery teams, advise clients on technology choices, and support presales with solution design and estimation.

The role focuses on agentic automation, LLM-based RAG systems, vector databases, and integrating AI into client landscapes. Remote work across US/LATAM with some travel may be required.

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