Senior AI Engineer

Acrisure InnovationAustin, TX
Hybrid

About The Position

Acrisure's Enterprise Technology Group (ETG) is a fast-paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry. Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science. At the core of our operating model is our technology: we're building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest-growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries. Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and outwork the competition. We look outside our walls and are energized by our fast-paced trajectory. Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us.

Requirements

  • 5–10+ years of hands-on experience in AI/ML engineering (required)
  • Ability to work independently and lead projects without day-to-day supervision
  • Confident engaging with non-technical business stakeholders, understanding their needs, and converting them into technical plans
  • Strong Python skills (required)
  • Deep experience with ML algorithms and model development
  • BS in CS or a related field in AI Engineering
  • Proven experience deploying LLM-based applications using API calls to frontier models (e.g. OpenAI, Anthropic, Google Gemini) (required)

Nice To Haves

  • A second coding language is a plus
  • Familiar with the Palantir platform (AIP, Foundry, or Ontology) (desirable)
  • Familiar with LangChain, LLMs, Kubernetes, or GCP (nice to have)

Responsibilities

  • Build and deploy ML models from prototype to production
  • Own the full lifecycle of ML projects
  • Engage directly with business stakeholders to gather and refine project requirements
  • Translate requirements into structured work packages with clear milestones and deliverables
  • Monitor and follow up to ensure timely and high-quality project delivery
  • Collaborate cross-functionally to develop scalable systems
  • Improve model accuracy, performance, and reliability
  • Apply best practices in testing, MLOps, and observability

Benefits

  • Competitive compensation
  • Generous vacation policy, paid holidays, and paid sick time
  • Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
  • Company-paid Short-Term and Long-Term Disability Insurance
  • Company-paid Group Life insurance
  • Company-paid Employee Assistance Program (EAP) and Calm App subscription
  • Employee-paid Pet Insurance and optional supplemental insurance coverage
  • Vested 401(k) with company match and financial wellness programs
  • Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
  • Paid maternity leave, paid paternity leave, and fertility benefits
  • Career growth and learning opportunities
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