Generative AI Systems Architect

New

Opportunity to work remotely within PolandFull-TimeSenior

Salary not disclosed

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Job Details

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
1+ years in architecture roles involving cloud, data, or production Generative AI/LLM systems
Knowledge of cloud platforms (Azure, AWS, GCP)
Proficiency with IaC tools such as Terraform, Bicep, CDK, or CloudFormation
Competency in containerization and orchestration technologies including Docker and Kubernetes
Experience with API gateways and service meshes
Proficiency in CI/CD and release management for ML/LLM workloads using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
Understanding of LLM platforms like Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI
Familiarity with security-by-design principles and compliance frameworks for GenAI
Advanced proficiency in English (B2+/C1)

Design enterprise generative AI reference architectures, blueprints, and reusable patterns
Define multi-cloud platform foundations addressing networking, identity, and secrets management
Lead efforts in LLMOps/ModelOps, focusing on model evaluation, safety, observability, and rollout strategies
Create frameworks and governance for agentic systems, including tool governance and the Model Context Protocol (MCP)
Ensure systems comply with security, risk, and compliance standards, with Responsible AI principles and PII controls applied
Establish strategies for cost efficiency, reliability, and performance using capacity planning and FinOps techniques
Improve developer experience through CI/CD pipelines, golden paths, templates, and Infrastructure as Code (IaC) techniques
Collaborate with cross-functional teams to align system requirements with strategic objectives

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