Key skills
AI platform engineeringLarge language models (LLMs)Agentic architecturesTool-calling architecturesMCP serversMachine learning servicesCloud platformsData science frameworksAI frameworksML frameworksDatabricksPySparkinfluenceAgilityAIMLLLMAgenticSaaSSDLCCI/CDLeadershipCommunication
About this role
Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. The Head, AI Platform Engineering will lead the AI Platform team in building foundational AI capabilities for their B2B SaaS Decision Intelligence Platform, ensuring the reliability and effectiveness of AI solutions.
Responsibilities:
- Own a pragmatic AI Platform roadmap focused on reuse, adoption, and production readiness of components that reduce friction and accelerate AI feature delivery across product teams
- Lead the design, engineering, delivery of scalable AI platform services, (e.g., extraction, assistants, chatbots) agentic / tool‑calling workflows, LLM‑backed systems
- Drive adoption and integration of MCP servers in our products as a first‑class mechanism for exposing tools and data to agents, using standardized, governed patterns
- Ensure observability of quality, safety, latency, costs across all AI-enabled products, including guardrails, evaluation patterns and safe defaults, consistent with company-wide standards of governance
- Lead and grow a team of AI engineers, setting a high technical bar through architecture reviews, coaching, SDLC, CI/CD, and clear ownership expectations
- Represent AI Platform with executive leadership, working closely with product managers, product teams and external technology partners
Requirements:
- Significant experience (10+yrs) and demonstrable track record leading data science, AI, engineering teams building and operating production platforms
- Hands‑on experience with LLM‑based systems, agentic or tool‑calling architectures, MCP servers and/or ML/AI services in production
- Experience with cloud platforms and strong working experience of data science, AI, and ML frameworks; Databricks and PySpark highly preferred
- Exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers
- Strong interpersonal skills and an ability to influence others around you towards data-driven business goals
- Ability to quickly pivot and act with agility as dictated by the needs of the business
- Hold an advanced degree (PhD preferred) or equivalent career experience in Applied Mathematics, Statistics, Engineering, Computer Science, or a related technical discipline
- PhD preferred