Architect M - F H/F

MISSIONS
Based at the AGL Expertise Center, you will join the AI Factory within the Digital & Innovation Department as an AI Architect.

Your mission will be to define, design, and govern the overall AI architecture of the AI Factory, ensuring that all AI solutions are scalable, secure, interoperable, and aligned with AGL's information system and industrial standards.

As part of the AI Factory, your responsibilities will include:
AI architecture design & governance
-Define and own the AI Factory's target architecture, including reference architectures, design principles, and technical standards applicable across all AI use cases
-Design end-to-end AI solution architectures, covering data ingestion, model training, inference, serving layers, and monitoring components
-Ensure consistency, scalability, and reuse across the AI portfolio by standardizing architecture patterns and avoiding fragmented implementations
-Act as technical leader and submit architecture document to the Architecture and Security Board

Technology strategy & make-or-buy decisions
-Lead technology evaluation and selection processes, including foundation models, platforms, and tooling, based on performance, cost, and security constraints
-Define and maintain the AI Factory technology stack (LLMs, orchestration frameworks, vector databases, MLOps platforms, cloud services)
-Drive build vs. buy decisions and define model selection strategies across proprietary and open-source ecosystems
-Maintain a technology radar to anticipate and integrate relevant innovations into AGL's AI architecture

GenAI, RAG & agentic architecture patterns
-Design and standardize RAG architectures (indexing strategies, embeddings, vector stores, retrieval optimization) for knowledge-intensive use cases
-Architect agent-based systems, including reasoning workflows, tool integration, memory management, and human-in-the-loop mechanisms
-Define prompt strategies, guardrails, and output validation to ensure reliability and consistency of GenAI applications
-Establish reusable patterns for multi-agent orchestration and complex AI workflows

System integration & enterprise alignment
-Design integration architectures connecting AI solutions to AGL's core systems (ERP, TMS, data platforms, operational tools)
-Define API standards, event-driven architectures, and data contracts between AI services and enterprise applications
-Ensure alignment with enterprise architecture, cloud strategy, and IT standards in collaboration with infrastructure and architecture teams
AI security, compliance & model protection
-Define and enforce AI-specific security standards, including model access control, data protection, and API security
-Design protection mechanisms against AI-specific risks (prompt injection, adversarial inputs, data leakage)
Technical leadership & AI Factory maturity

The list is not exhaustive