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 will 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 company's 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 Platform services pod productionises and domain. 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. 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). Patterns for AI workloads. Languages Proficiency in Python + one of TypeScript/C# (our stack is .NET, TypeScript/Angular, Python). #J-18808-Ljbffr
A leading recruitment agency is seeking a Machine Learning Engineer for a permanent role in Waterford, Ireland. You will develop and support scalable machine learning solutions and work collaboratively within a data-driven environment. Ideal candidates will have proficiency in Python, experience with AWS and MLOps practices, and a solid understanding of machine learning frameworks. Interested applicants can send their CV to the provided email for details about this exciting opportunity. #J-18808-Ljbffr
Machine Learning Engineer - Permanent Role Location: Waterford, Ireland Hybrid: Minimum 2 days onsite Stelfox is partnering with a leading client to hire a Machine Learning Engineer for a permanent role based in Waterford. This is an exciting opportunity to work on innovative data science and machine learning solutions that drive real business value and help shape a data-driven strategy across the organisation. You will join a collaborative engineering environment where data is treated as a strategic asset. The role suits someone who enjoys designing and deploying scalable ML solutions, working across data platforms, and influencing how data products are built and delivered. Key Responsibilities Design, develop, deploy, and support high-quality machine learning and data science solutions that are scalable, secure, and aligned with best practices. Build and maintain machine learning models and supporting code using modern development practices. Work across the full software development lifecycle (SDLC) using Agile methodologies. Transform and map data from source systems to analytics and machine learning platforms. Develop testing plans and quality assurance processes to ensure robust data solutions. Improve data quality, application performance, reliability, and scalability across data products. Collaborate with IT and business stakeholders to deliver data-informed product strategies. Contribute to data modelling, analysis, governance, and security best practices. Participate in code reviews, testing, and validation of new features and vulnerability fixes. Augment internal datasets with external data sources to create reusable data assets. Stay current with emerging AI, machine learning, and data engineering trends. Mentor engineers and promote a data-first approach to solution design. Key Skills & Experience Experience developing and deploying machine learning models and data science solutions. Proficiency in Python and modern machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience working with AWS cloud services (e.g., S3, Lambda, SageMaker, Bedrock, Step Functions). Experience working with Linux environments, containers, and AWS cloud infrastructure. Knowledge of AI and Generative AI development patterns (e.g., Retrieval-Augmented Generation – RAG). Ability to work independently while collaborating with cross-functional teams. Knowledge of data platforms and tools such as Snowflake and Dataiku. Hands-on experience implementing MLOps practices, including CI/CD, automated testing, model versioning, observability, and infrastructure-as-code. Familiarity with GenAI and LLM-based solutions and modern AI development patterns. Understanding of governance, risk, audit, and responsible AI standards in AI/ML development. If you are interested in this role, click 'apply' to send an updated copy of your CV to Honey Rathore or email honey@stelfox.com for more details. #J-18808-Ljbffr
Location: Cork, Ireland Overview A growing engineering organization is developing a modern financial planning and analytics platform designed for financial institutions. The platform supports budgeting, planning, profitability analysis, and regulatory reporting, enabling finance and treasury teams to manage performance and risk through a unified system. The engineering team responsible for the product is currently undergoing a major technology evolution, shifting toward cloud‑native architecture, modern development practices, and increased use of AI‑enabled engineering tools. This role offers the opportunity to shape the architecture of a large‑scale financial software platform while working closely with engineering leadership and product teams to modernize an established system. Role Summary The Enterprise / Solution Architect will be responsible for defining and implementing the architectural direction of a complex financial software platform. This position combines architectural leadership with hands‑on engineering work. Rather than functioning purely as a strategic or governance role, this position requires active participation in development, including writing code, validating architectural decisions through implementation, and guiding engineering teams through complex system design challenges. The successful candidate will work across multiple product areas, ensuring systems are scalable, maintainable, and capable of supporting both mid‑sized institutions and large enterprise clients. Key Responsibilities Define and evolve the architecture across multiple financial software products, including domain boundaries, system integrations, data flows, and service interactions. Ensure the platform architecture supports long‑term scalability and maintainability. Hands‑On Technical Leadership Validate architectural designs through implementation. Build proof‑of‑concepts, reference components, and production‑ready solutions that demonstrate architectural patterns for engineering teams to follow. System Modernization Lead the transition from legacy system architecture to modern cloud‑native patterns. Design migration strategies that allow gradual modernization without disrupting existing customers or platform stability. Scalability and Performance Ensure the platform architecture supports large‑scale workloads, capable of handling high volumes of financial data and complex analytical processing across multiple institutions. Identify opportunities where AI‑powered capabilities can enhance financial analysis workflows, such as intelligent automation, anomaly detection, or natural language interaction with financial models. Establish architectural patterns, design guidelines, and technical guardrails that enable engineering teams to build consistently and efficiently while maintaining high standards of quality and scalability. Work closely with engineering teams, platform specialists, data engineers, and product leadership to ensure architectural decisions align with broader product and technology strategy. Required Experience 10+ years of experience in software engineering 5+ years in architecture‑focused roles such as Solution Architect, Enterprise Architect, or Principal Engineer Proven experience designing and delivering distributed systems at scale Demonstrated success modernizing legacy applications while maintaining production stability Experience defining architectural standards adopted across engineering teams Background in financial services or other regulated industries is beneficial Technical Expertise Candidates should have strong experience across modern application architecture and cloud‑based platforms, including: Advanced experience with .NET / C# and modern architectural patterns Full‑stack engineering capability including TypeScript and Angular Cloud‑native system design experience (Azure preferred, though other cloud platforms are transferable) API architecture including versioning, contract management, and backward compatibility Event‑driven architecture and messaging patterns Database architecture and performance optimization for large‑scale systems CI/CD pipelines and infrastructure automation Containerization and orchestration patterns AI and Modern Development The engineering organization embraces modern AI‑assisted development practices. Candidates should have experience using AI development tools to enhance productivity and assist with software development workflows. Familiarity with modern AI platform services, large language model integrations, or AI‑powered product capabilities is a strong advantage. The ideal candidate combines long‑term architectural vision with practical delivery. They should be comfortable designing systems that allow engineering teams to move quickly while maintaining strong technical foundations. Designing clear domain boundaries and system responsibilities Enabling team autonomy through well‑defined architecture Balancing long‑term platform strategy with incremental delivery Making pragmatic technology decisions that support both growth and operational stability What Success Looks Like (First Year) A clear architectural roadmap for the platform’s long‑term evolution Successful implementation of modern architectural patterns within the production system Measurable progress in modernizing legacy components Increased development velocity through improved architecture and clearer technical direction Initial implementation or validation of AI‑driven capabilities within the platform What This Role Offers Opportunity to architect and modernize a large‑scale financial software platform Significant influence on both technology direction and product capability Close collaboration with senior engineering leadership High antonomy in defining and implementing architectural decisions A team environment that values modern engineering practices and innovation #J-18808-Ljbffr
A leading financial technology firm in Cork is seeking an experienced Enterprise / Solution Architect to define and implement the architectural direction of a complex financial software platform. The role entails hands-on technical leadership, ensuring scalability and maintainability while driving modernization initiatives. Ideal candidates will have over 10 years of software engineering experience, with a strong focus on cloud-native design and API architecture. Collaboration with senior leadership is key, along with an emphasis on integrating AI-powered capabilities. #J-18808-Ljbffr
Head of Data Architecture & Analytics (Director / VP) Stelfox is partnering with a SaaS Fintech provider who are looking to hire an experienced Data Architecture & Analytics Leader to help play a pivotal role in transforming the organisation's data capability. This role will report into the CTO and act as a foundational role responsible for defining & delivering modern, scalable enterprise data architecture & analytics infrastructure that can serve both internal operational departments as well as enterprise clients. You will act as a key architect and change agent in the establishment of next-generation data warehouse/ Data Lake ecosystem plus enterprise analytics platform for the organisation. Some of the key elements we are looking for in the preferred candidate: Strong ability to at translating business requirements into clear data / analytics strategies, roadmaps and key initiatives. Drive the evolution & architecture from a legacy reporting-focused systems to a modern, governed, scalable and business-aligned enterprise data platform. Establish a modern Cloud Data Warehouse / Data Lake , selecting the appropriate platform (example - Snowflake, BigQuery, Databricks, Redshift etc) Drive the design & establishment of a future-state analytics platform - BI tooling, analytics patterns, governance, enforcing data architecture standards and best practices across the organisation. Collaborate with operations and infosec teams to ensure data platforms meet regulatory and security requirements standards (GDPR, SOC2 etc). This role in the early stages of its maturity, will focus heavily on the architecture side, leading a small Data engineering team and owning the overall Data strategy, architecture, standards, governance and execution for the organisation. If you have the experience in re-architecting, modernising or creating a greenfield modern enterprise Cloud Data Lake/warehouse and associated BI / Analytics platform, then feel free to apply for a confidential conversation to explore further. #J-18808-Ljbffr
A leading SaaS Fintech provider in Dublin is seeking a Head of Data Architecture & Analytics (Director/VP) to transform its data capabilities. This role focuses on defining and delivering a modern, scalable enterprise data architecture and analytics infrastructure. Responsibilities include leading a small data engineering team, establishing a Cloud Data Warehouse/Data Lake, and ensuring compliance with regulatory standards. The ideal candidate has proven experience in data architecture and a strong ability to translate business needs into data strategies. #J-18808-Ljbffr
A fintech software company is seeking a Senior Python Developer based in Cork, Ireland. This role offers the chance to lead projects, mentor developers, and drive full-stack development across Python-based APIs. The ideal candidate will have over 5 years of software engineering experience and a strong background in back-end development. Key tasks include building automated testing frameworks and collaborating with global engineering teams. This is a hybrid position with opportunities to work remotely. #J-18808-Ljbffr
Cork City - Hybrid (1-2 times per month) We’re looking for a Senior Python Developer to join a growing fintech team focused on delivering robust, compliant, and intelligent software solutions, if you have led projects & mentored Developers in the past and want to take your career to the next level, then this is the role for you. In this role, you’ll work across the stack—driving API development, improving architecture, contributing to clean and scalable code, and enabling front-end progress. You’ll collaborate with distributed teams across the globe while helping shape a platform that leverages modern AI tooling and strong engineering practices. What You’ll Do Drive full-stack development across Python-based APIs, database queries (PostgreSQL), and deployment pipelines to support ongoing feature delivery. Build and maintain automated testing frameworks (unit, integration, end-to-end) to ensure reliability and product quality. Participate in code reviews and uphold secure coding standards. Engage in agile ceremonies including standups, sprint planning, and retrospectives. Collaborate closely with global engineering teams to maintain consistency and scalable architecture. Use AI-powered developer tools to improve velocity and enhance coding workflows. Document systems, architecture, and workflows to support long-term maintainability. What You Bring 5+ years of software engineering experience with strong back-end development skills. Proficiency in Python and experience building APIs (FastAPI preferred). Experience with ReactJS or modern front-end frameworks. Strong knowledge of PostgreSQL and the ability to write/read SQL queries. Experience integrating REST APIs and WebSockets. Comfort with Git/GitHub workflows, code reviews, and CI/CD pipelines (GitHub Actions or Azure DevOps). Exposure to LLM/OpenAI APIs or front-end AI/ML integrations such as chat interfaces or semantic search. Familiarity with prompt engineering, embeddings, or vector search workflows. A security-first mindset with an understanding of secure coding, secrets management, and data privacy. Strong communication and documentation skills, especially when working across time zones. Collaborative, detail-oriented, and committed to producing clean, maintainable code. If interested, please apply. Seniority level Mid-Senior level Employment type Full-time Job function Software Development and IT System Custom Software Development #J-18808-Ljbffr
