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2 дня назад

AI Platform Lead (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Platform Lead (AI): Architecting, scaling, and leading the core infrastructure for an AI-native modeling platform with an accent on integrating AI into the modeling lifecycle, building agents, assistants, and LLM-enhanced systems. Focus on defining the AI platform roadmap, building LLM-backed feature infrastructure, and establishing best practices for experimentation, reliability, and deployment.

Location: Flexible hybrid working with presence in our London office.

Company

hirify.global is transforming pharmaceutical R&D through cutting-edge modeling, simulations, and data integration with its ModelFlow platform.

What you will do

  • Define and drive the AI platform roadmap, architecture, capabilities, and standards.
  • Build and maintain infrastructure to serve LLM-backed features, agents, and recommendation engines.
  • Lead integration efforts across modeling, ontology/data, and frontend layers.
  • Translate product needs into scalable AI capabilities, from suggestions to agent-based task automation.
  • Shape user-facing AI features across UI, CLI, and API surfaces with engineering and design counterparts.
  • Establish best practices for experimentation, reliability, and deployment of LLM-backed features.

Requirements

  • Deep Technical Foundation: 5+ years of experience building AI/ML platforms, LLM services, or ML infrastructure at scale.
  • Hands-on experience with modern LLM frameworks and architectures, including RAG pipelines, agent orchestration, prompt engineering, and fine-tuning workflows.
  • Strong systems thinking and a proven ability to integrate AI into complex, modular platforms or developer-focused tools.
  • You combine deep engineering skills with product intuition and a strong delivery mindset.
  • Comfortable working across teams, navigating ambiguity, and setting technical direction in a fast-moving environment.

Nice to have

  • Experience with ML lifecycle tooling (e.g., MLflow or BentoML).
  • Exposure to data modeling, ontology systems, or structured scientific data.
  • Familiarity with workflow engines or domain-heavy platforms in pharma, biotech, or materials.

Culture & Benefits

  • Flexible hybrid working – split your time between home and our London office.
  • Generous time off – 26 days of annual leave plus flexible bank holidays.
  • Access to modern workspace perks, including collaborative spaces and refreshments.
  • Competitive employer pension contributions.
  • Participation in our Employee Incentive Plan.

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