AVP, AI (Data Science/Engineer) Remote - EST

Arch Insurance Group Inc. is a company focused on collaboration, expertise, and innovation, seeking an AVP, AI Engineering to lead the design and application of advanced AI systems. The role involves developing multi-agent AI solutions to automate complex business decisions, applying AI, machine learning, and data science to achieve measurable outcomes.

Responsibilities:

• Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems
• Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment
• Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review
• Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate
• Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated
• Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes
• Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices
• Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence
• Translate business opportunities into scalable AI solutions that deliver measurable business value

Requirements:

• 7+ years of experience in AI, machine learning, data science, analytics, or related disciplines
• 3+ years of people leadership experience
• Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work
• Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact
• Deep understanding of model evaluation, experimentation, statistical analysis, and decision science
• Strong experience evaluating AI technologies, platforms, and vendors
• Strong Python experience for data science, machine learning, and AI development
• Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities
• Strong communication skills with the ability to influence technical and non-technical stakeholders
• Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience
• Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle
• Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques
• Experience applying AI and machine learning within enterprise environments
• Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions
• Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community