Agentic AI Architect

About the Role

Barden is working with a global tech company to hire an Agentic AI Architect who will design and shape AI systems across the entire business. This role focuses on building the architecture for next-generation, intelligent (AI-driven) products and platforms.

• Define the end-to-end architecture for the organisation’s agentic platform: infrastructure, patterns, and contracts enabling autonomous capabilities.
• Design agent orchestration, multi-agent coordination, graduated autonomy models, and guardrails for regulated environments.
• Establish observability, evaluation, and trust frameworks to ensure safe, auditable, and explainable agent behaviour.
• Architect a unified API and platform layer for agentic consumption, including tool exposure, context management, versioning, and multi-tenancy.
• Define cross-product composability patterns, resource/tool taxonomy, and integration standards for autonomous agents.
• Provide architectural guidance for ML/statistical models powering analytics products.
• Define model lifecycle, integration with agentic workflows, and alignment with platform engineering standards.
• Advise on build vs. buy decisions and ensure scalable, maintainable ML infrastructure.

About You

• 10+ years of software architecture/engineering experience, with 2+ years in AI/ML production systems
• Hands-on experience designing agentic or AI-orchestrated systems with multi-step reasoning, tool use, and autonomous workflows.
• Proven track record defining API strategies for complex, multi-product platforms.
• Production experience with LLM-based systems, orchestration frameworks, evaluation, guardrails, and cost optimisation.

Technical Requirements

• Agentic/AI Platforms: Lang Graph, Lang Chain, Crew AI, Semantic Kernel, or equivalent); agent design patterns; tool-use architectures; MCP or similar protocols.
• LLM Infrastructure: Azure AI Foundry / Azure OpenAI, AWS Bedrock, or equivalent; model selection and routing; token economics and cost management at scale.
• API Architecture: RESTful and event-driven API design; versioning strategies; contract testing; developer experience design.
• ML/Data Science Foundations: Sufficient depth to guide ML architecture decisions, regression modelling, time series analysis, model validation, MLOps patterns
• Cloud & Infrastructure: Azure-native architecture (AWS/GCP transferable); containerisation; serverless patterns for AI workloads.
• Languages: Proficiency in Python + one of TypeScript/C#

Other Details

• Our client is based in Cork City, Ireland. For talent outside Cork, occasional travel to the office (1-2 times per month) is preferred.
• Permanent role: talent-led, competitive salary plus benefits.