Responsible AI Lead overseeing governance and risk management for AI applications in a large data - driven organization. Ensuring conformity and facilitating the secure deployment of AI usage.
About the role
- ML AI Architect designing end-to-end AI architectures for fintech platform. Leading AI innovation and ensuring secure, scalable infrastructure for financial services.
Responsibilities
- Architecting the Intelligence Layer: Design end-to-end AI/ML architectures, including RAG pipelines, agentic workflows, and real-time decisioning systems tailored to financial services.
- Infrastructure Oversight: Select, govern, and continuously evolve our AI stack (LLM providers, vector databases, orchestration frameworks, and MLOps tooling).
- Engineering Standards & Observability: Establish engineering excellence for AI, including automated testing frameworks, model evaluation pipelines, drift detection, bias monitoring, and CI/CD processes tailored for machine learning in regulated environments.
- Innovation at Production Depth: Partner with the Head of AI Innovation to translate AI product hypotheses into technically viable architectures.
- Trust, Guardrails & Runtime Governance: Embed explainability, auditability, and human-in-the-loop mechanisms into all AI systems.
Requirements
- Proven Expertise: 8+ years in software engineering, with at least 3 years in an Architect or Lead role focused on AI/ML.
- FinTech/Crypto Background: Strong understanding of financial data, transaction patterns, and the unique security requirements of the FinTech or Crypto space.
- Technical Mastery: Deep proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, LangChain, or LlamaIndex).
- Production Experience: A track record of deploying large-scale, production-grade AI systems (not just experimental models).
- Cloud Native: Extensive experience with AWS, Azure, or GCP AI services and containerization (Kubernetes/Docker).
- Communication: Fluent English and the ability to articulate complex technical concepts to non-technical stakeholders.
- Startup Mindset: Ability to thrive in a fast-paced, stealth-mode environment where adaptability is key.
Benefits
- Compensation: A highly competitive salary package that recognizes your expertise and contribution.
- Modern Work Culture: Embrace a remote-first environment with flexible working hours, designed to support your work-life harmony.
- Generous Time Off: Annual Leave - 24 days, dedicated paid sick leave, and Public Holidays.
- Professional Evolution: Grow your skills with a dedicated learning budget and clear pathways for accelerated career development.
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