Generative AI Systems Architect

We are seeking a skilled Generative AI Platforms Architect to lead and define the architecture for an enterprise GenAI platform. The role involves creating reference architectures, guardrails, and roadmaps to deliver scalable and secure AI solutions—including LLMs, agentic applications, and tool integrations—across multiple clouds. By collaborating with engineering, security, data governance, and product teams, the Architect will translate business goals into platform designs and actionable delivery plans, while mentoring engineers and advocating for best practices in LLMOps/ModelOps.

Responsibilities

• 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

Requirements

• 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) and IaC tools (Terraform, Bicep, CDK, CloudFormation)
• Competency in containerization and orchestration technologies (Docker, Kubernetes), as well as API gateways/service meshes
• Proficiency in CI/CD and release management for ML/LLM workloads (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Understanding of Large Language Model (LLM) platforms like Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI
• Familiarity with security-by-design principles and compliance frameworks tailored to GenAI systems
• Advanced proficiency in English (B2+/C1)

We offer

We gather like-minded people:

• Engineering community of industry professionals
• Friendly team and enjoyable working environment
• Flexible schedule and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities

We provide growth opportunities:

• Outstanding career roadmap
• Leadership development, career advising, soft skills, and well-being programs
• Certification (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
• English classes

We cover it all:

• Stable income (Employment Contract or B2B)
• Participation in the Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
• Referral bonuses
• Corporate, social and well-being events

Please note

• The set of bonuses might vary based on the role you apply for; specifics will be discussed during the general interview.
• Only selected candidates will be contacted.