AI/ML Solutions Architect

Employer · SnapSoft

Systems analystSoftware developerApplications developerFlexibleFull-time

Budapest

Are you an experienced AI/ML Solutions Architect with experience in AWS? If so, here is your chance to utilize your skills on upcoming international projects with our highly qualified engineering team at SnapSoft. You will see a lot of ideas move from POC to MVP to production, driving delivery and acting as a key decision-maker.

Tasks

  • Technically manage a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud.
  • Provide mentoring and technical support to junior and medium teammates.
  • Act as a trusted advisor to clients.
  • Develop highly scalable services realizing AI/ML functionalities.
  • Design and build agentic systems that plan, call tools and automate real business workflows.
  • Develop LLM-powered applications, including RAG pipelines.
  • Work with vector databases and search.
  • Integrate AI services with external systems through APIs.
  • Build scalable Python services and the data flows behind them.
  • Use AWS cloud to implement AI solutions.
  • Understanding customers' business problems and providing technology consulting.
  • Owning the end-to-end solution as a key decision-maker and driving the delivery team.
  • Describing infrastructures using Terraform (Terragrunt) or AWS CloudFormation.
  • Designing, building and maintaining CI/CD pipelines in multiple integration and test environments.

Conditions & benefits

A company culture based on autonomy and accountabilityFlexible working hoursCool office with great location in Budapest, nearby Deak Ferenc Square / AstoriaMacbook in order to be the most efficient in your daily tasksCompany-sponsored technical trainingsCompany-sponsored trips to relevant, professional conferencesMedicareAYCM SportPass contribution, yoga at the office, SnapSoft footballCocktail party, team buildings, SnapSoft library.

Requirements

  • A bachelor's degree in Computer Science, Information Technology, or a related field
  • Multiple years of experience, including recent hands-on work on AI projects
  • Experience with some of the following technologies: SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, ElasticSearch
  • Strong proficiency in Python and hands-on experience with the GenAI ecosystem
  • Good command of SQL and a working understanding of core data engineering concepts
  • Proven experience designing, consuming and integrating APIs
  • Solid understanding of LLM application concepts: RAG, embeddings, vector databases, tool calling, agent patterns
  • Working knowledge of AWS/Azure/GCP
  • AWS Professional/Specialty Certification is a plus

Posted Oct 26, 2026 · Updated 8 days ago · 0 views