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We are looking for a senior, hands‑on AI Solutions & Engineering Lead to design, build, and productionize AI solutions used across Fourth’s enterprise operations. This role owns the technical foundations for AI in production - ensuring solutions are scalable, reliable, well‑governed, and integrated with enterprise data and systems. The AI Solutions & Engineering Lead is reporting to Director of Enterprise Data & Intelligence. You will join the Enterprise Data & Intelligence team, which builds the shared data, analytics, and AI foundations that power decision‑making and operations across Fourth - not individual products. The AI Lead is at the forefront of reshaping how Fourth operates as a business - starting hands-on with production AI systems and growing into a standards‑setting technical leader defining the architecture, governance, and direction for AI used across the entire enterprise.
Job Responsibility:
Own AI engineering and architectural decisions across enterprise solutions
Design and build production‑grade AI systems and pipelines
Take AI solutions from prototype to reliable production
Define engineering standards, quality bars, and production readiness
Shape feasibility, prioritization, and technical approach for AI initiatives in partnership with the Director, without owning overall AI strategy
Translate business problems into scalable, technically sound AI solutions
Work with Data, Security, Legal, Compliance and others on safe AI delivery
Requirements:
5+ years experience in machine learning, AI engineering or software development, with a demonstrated track record of deploying machine learning models and AI solutions in production environments
Strong Python skills for building production AI services
Hands‑on experience running LLM‑based systems in production
Experience with RAG architectures, embeddings, and vector search
Proven ability to design scalable, maintainable systems and APIs
Solid understanding of production operations (monitoring, logging, error handling)
Cloud deployment experience (Azure preferred)
Strong understanding of data pipelines, SQL, and data quality
Working knowledge of AI governance, access control, and responsible AI practices
What we offer:
25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance