About The Position

As a Senior in Applied AI, you will be at the forefront of building and deploying AI solutions that are pivotal to value creation for private equity clients and their portfolio companies. You will ensure these initiatives are delivered with precision, aligning timelines, costs, and quality to achieve outstanding outcomes. Working embedded alongside senior practitioners, you will contribute hands-on to the development and implementation of cutting-edge AI solutions — and you will use AI as your primary way of working, every day.

Requirements

  • A Bachelor's degree in a relevant field.
  • Typically 2-4 years of relevant experience.
  • Experience in AI/ML engineering, data engineering, analytics, or strategy/operations roles — including in consulting, financial services, private equity, or portfolio company environments.
  • Proficiency in translating business problems into buildable AI use cases and driving outcomes.
  • Demonstrated AI-native fluency — an early adopter and constant experimenter who is a power user of the AI tools available to them.
  • Hands-on experience building with LLM APIs, agent frameworks, or automation tooling, whether professionally or through personal projects.
  • Working proficiency in Python and SQL, or equivalent analytical tooling.
  • Strong analytical and decision-making skills, with the ability to structure ambiguous business problems.

Nice To Haves

  • A portfolio of AI experiments, side projects, or shipped tools that demonstrates curiosity and craft.
  • Exposure to cloud platforms (AWS, Azure, GCP) or modern data platforms (Snowflake, Databricks).
  • Familiarity with private equity value creation levers or portfolio company operations.

Responsibilities

  • Build, test, and iterate on AI solutions — agents, retrieval systems, automations, and analytics — that align with business objectives.
  • Utilize AI tools as a daily force multiplier, applying coding assistants, agentic workflows, and rapid prototyping to accelerate your own and the team's delivery.
  • Engage actively with client and portfolio company teams, participating in working sessions and contributing to project success.
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