Highly Skilled AI Solutions Architect

5 days ago


Remote Warsaw, Czech Republic Green Minds Sp.o. Full time

We are seeking a visionary AI Tech Lead to drive the design, architecture, and implementation of cutting-edge AI solutions.

Key Responsibilities:
  • Lead the technical design and architecture of AI-driven solutions, ensuring scalability, security, and efficiency.
  • Work closely with stakeholders, project managers, and engineers to define technical priorities, scope, and timelines.
  • Stay up-to-date with the latest AI and ML advancements, tools, and methodologies.
  • Establish and enforce best coding practices, architecture standards, and development methodologies.
  • Ensure AI solutions comply with data privacy and security regulations.
  • Optimize and monitor AI systems for performance, scalability, and reliability.
  • Drive CI/CD, automation, and cloud-native solutions for AI deployments.
  • Mentor and guide developers, ensuring technical excellence across projects.
  • Contribute to the strategic direction of AI initiatives within the organization.

The ideal candidate will have a strong background in AI, ML, and software development, with expertise in Azure, Python, .NET, and SQL. Additionally, experience with API integration, containerization, and cloud platforms is highly valued.

This is a 100% remote position available to candidates based in the USA, with a B2B contract model. We offer a flexible work environment, competitive compensation, and opportunities for professional growth and cutting-edge AI innovation.

Requirements:
  • 4+ years of hands-on experience in AI, ML, and software development.
  • Deep understanding of the full software development lifecycle – from design to deployment.
  • Strong expertise in AI model deployment and API integration.
  • Hands-on experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
  • Proficiency in Infrastructure as Code tools (Terraform, Ansible, CloudFormation).
  • Solid experience with containerization (Docker, Kubernetes).
  • Strong background in cloud platforms (AWS, Azure, GCP) and DevOps services.
  • Familiarity with monitoring/logging tools (Prometheus, Grafana).
  • Proficiency in Python or .NET.
  • Ability to lead teams, mentor developers, and collaborate with cross-functional stakeholders.


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