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Senior ai engineer

GCS Recruitment
Ai engineer
Posted: 11h ago
Offer description

Senior AI Engineering Leader - Enterprise GenAI Platforms
A global enterprise organisation is building out its next‑generation AI engineering capability and is seeking a senior leader to drive the strategy, architecture, and delivery of enterprise‑scale GenAI platforms and applications. This role sits within a central engineering enablement function focused on accelerating software delivery, modernising engineering practices, and embedding AI capabilities across large‑scale technology teams. The position will lead multiple engineering teams responsible for delivering scalable, secure, and production‑grade GenAI solutions in a highly regulated environment.
Key Responsibilities

Define and lead the GenAI engineering roadmap and operating model
Drive enterprise adoption of AI engineering standards and best practices
Oversee development of LLM‑powered applications and platforms
Lead architecture and governance for RAG pipelines, agentic workflows, evaluation frameworks, and AI integration layers
Ensure AI systems are scalable, observable, secure, and compliant
Partner with Product, Security, Risk, Architecture, and Data teams to operationalise GenAI capabilities
Lead organisational growth, hiring, team development, and engineering standards

Required Experience

Proven leadership experience managing engineering organisations and technical strategy
Strong experience deploying GenAI/LLM systems into production enterprise environments
Expertise across AI engineering, distributed systems, APIs, microservices, and cloud‑native architectures
Strong understanding of AI governance, evaluation, monitoring, and controls
Experience with modern engineering ecosystems including containers, DevSecOps, SQL/NoSQL databases, and event‑driven systems
Strong technical depth in languages such as Python, Go, or TypeScript

Ideal Background
Candidates are likely to come from applied AI engineering, AI platform engineering, ML infrastructure, or enterprise GenAI architecture environments rather than traditional pure data science or research backgrounds.
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