AI Solution Architect w. Databricks [J202] at SKM Group
Remote, , Ireland -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

54000.0

Posted On

08 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Data Engineering, Integration, Solution Architecture

Industry

Information Technology/IT

Description

We are seeking an AI Solution Architect with deep expertise in Databricks — particularly the Mosaic AI Agent Framework — to lead the design and implementation of cutting-edge AI solutions. This role requires a strong grasp of Databricks’ AI and data capabilities, cloud-native architectures, and the integration of AI agents into enterprise workflows.

PREFERRED QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field.
  • Proven experience as a Solution Architect in AI/ML-heavy enterprise projects.
  • Experience integrating agent frameworks into production at scale.
  • Strong knowledge of enterprise-grade AI security & compliance.

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: €54,000.00-€120,000.00 per year

Experience:

  • Databricks: 2 years (required)
  • Solution architecture: 2 years (required)
  • AI: 3 years (required)

Work Location: Remot

Responsibilities
  • Lead AI architecture design using Databricks’ Mosaic AI Framework, AI Gateway, Unity Catalog, and related capabilities.
  • Architect and integrate AI agents leveraging LangChain, LangGraph, LangFlow, and similar orchestration tools.
  • Oversee data governance and security via Unity Catalog and enterprise best practices.
  • Develop solutions integrating MLflow for experiment tracking, model management, and deployment.
  • Leverage Databricks Serverless & Streaming for real-time AI pipelines.
  • Design and integrate AI capabilities with Azure AI Services, Event Hubs, API Manager, and containerized deployments.
  • Collaborate with stakeholders to translate business problems into AI-powered solutions.
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