AI Engineer & Software Architect

Responsibilities:

• Design the conceptual architecture of the prototype (PoC) and its evolution path to a scalable capability.
• Ensure secure integration with existing corporate systems (CRM, data platforms, LLM gateway) and apply open standards for agent orchestration (MCP, A2A).
• Guarantee data security and compliance (PII masking, access control, audit) and estimate inference cost for scale decisions (FinOps).

Requirements:

• Solid experience in AI/ML system architecture in production or pre-production, design of distributed systems, APIs, and integrations.
• Cloud experience with GCP, AWS, or Azure; data warehouses/lakes, pipelines, and LLM gateways.
• Governance and compliance skills: API security, data privacy, ADR practices, and zero-trust principles.

What We're Looking For:

• Systemic thinking with long-term vision and short-term pragmatism.
• Ability to translate business needs into technical decisions and vice versa.
• Comfort in high-ambiguity environments, close collaboration with Data Science and Product, and rigorous documentation without bureaucracy.