Enterprise Architect- AI & Agentic

Posted 24 March 2026
Salary Market related
LocationCork
Discipline Technology LeadershipSoftware Engineering
Reference10001

Job description

Enterprise Architect - AI & Agentic Platform

 

Stelfox is partnering with a U.S Fintech who is on a pathway to buildout Agentic AI capabilities across their SaaS financial solutions portfolio. Their vision is an Agentic platform that surfaces intelligent insights, executes autonomous workflows, and enables natural language interaction with complex financial data, all embedded natively into risk & performance management tools used key client stakeholders/users daily.

 

This platform will serve as the core AI backbone for the company's product suite being deployed with enterprise customers.

 

As Enterprise Architect, you wil report directly to the CTO to:

 

  • Act as the senior technical authority defining how AI and agentic capabilities are designed, built and embedded across
  • the companys product suite.
  • Your role will involve both defining the patterns and proving them out.
  • You will spend 50% of your time on architecture, standards and cross-team alignment, with the other 50% hands-on
  • building prototypes / PoCs and reference implementations that the Plaltform services pod productionise and domain
  • teams adopt.
  • You will bridge between"what is possible with AI" and "what is shipped in product".

 

What this role is NOT:

 

  • Managing people (you will influence via technical authority and working code).
  • Operate as a strategy only advisor who focused on slide decks.
  • Build production systems end-to-end (platform engineering takes care of this).

 

What this role will be:

 

  • Defining Agentic Platform architecture and the patterns product teams follow
  • Build working prototypes that prove architectural decisions before teams invest in production builds.
  • Establish the API and MCP server strategy that exposes products to agentic consumption.
  • Provide architectural oversight of ML/statistical modeling for analytics use cases.
  • Be the technical tiebreaker on AI architectural decisions across the entire organisation.

 

Required Qualifications

 

Experience

 

  • 10+ years in software architecture/engineering, with 4+ years focused on AI/ML systems in production
  • Critical: Personally designed and built agentic or AI-orchestrated systems beyond basic RAG/chatbot
  • implementations - multi-step reasoning, tool use, autonomous workflows
  • Critical: Defined API strategies for complex, multi-product platforms - not just consumed APIs, but designed the
  • contracts, versioning, and developer experience
  • Production experience with LLM-based systems: prompt engineering, orchestration frameworks,
  • evaluation/observability, guardrails, cost optimization
  • Demonstrated ability to translate architectural vision into working prototypes that teams can adopt
  • Track record of influencing engineering direction through technical authority rather than positional authority

 

Technical Expertise

 

  • Agentic/AI Platforms: Deep hands-on experience with orchestration frameworks (LangGraph, LangChain,
  • CrewAI, 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
  • Observability & Evaluation: LangSmith, Braintrust, custom evaluation frameworks; agent tracing; quality
  • metrics for non-deterministic systems
  • 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 modeling,
  • time series analysis, model validation, MLOps patterns (you don't need to be a data scientist, but you need to know
  • enough to architect the systems they depend on)
  • Cloud & Infrastructure: Azure-native architecture (AWS/GCP transferable); containerization; serverless
  • patterns for AI workloads

 

Languages: Proficiency in Python + one of TypeScript/C# (our stack is .NET, TypeScript/Angular, Python)

Please note:

We have a number of similar positions currently, and in the future, which we would like to discuss with you should you indicate your interest in this role. When we receive your application for this role, we will contact you to advise you of our process for other similar positions.

Stelfox is fully compliant with GDPR regulations and you can read more in our privacy policy here: https://www.stelfox.com/privacy-policy-gdpr/

Your shared data will not be disclosed or transferred to a third party data controller or data processor located outside the EEA unless we have obtained your express consent.

We look forward to working with you.