Newfront
insurance
StaffAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff AI Engineer at Newfront. Skills: AI systems, autonomous systems, LLM, machine learning. Build 0-1 AI systems that transform core brokering workflows. Embed directly with brokering teams, underwriters, and operations to identify automation opportunities”
What You'll Achieve.
reducing quote turnaround time by 80%; increasing broker capacity by 10x; improving placement success rates
Industry & Context.
problem-solving skills; ability to take a pragmatic and efficient approach to tackling challenges
What They're Looking For.
Must Have
BS, MS or PhD in computer science, or related field, or equivalent work experience, 8+ years of experience in software engineering, machine learning, or AI/ML application development, programming skills in Python, Experience with modern development and deployment practices (e. g. , containerization, CI/CD), A track record of leading AI/ML projects, Passion for staying up-to-date with the latest advancements in AI/ML and applying them to real-world problems, problem-solving skills and the ability to take a pragmatic and efficient approach to tackling challenges, Excellent collaboration and communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders
Nice to Have
Experience deploying or leveraging machine learning models and Large Language Models (LLMs) to power business applications, Knowledge of state-of-the-art LLM techniques, models, and vendors, Familiarity with LLM and related frameworks, including extracting structured data from unstructured text, Experience with popular AI/ML libraries and frameworks, Familiarity with DevOps practices, cloud infrastructure, authorization, authentication, and search infrastructure, Understanding of machine learning essentials and the ability to collaborate effectively with data scientists, Experience with JavaScript backend frameworks such as Node. js, as well as knowledge of TypeScript
What You'll Do.
Build 0-1 AI systems that transform core brokering workflows
Embed directly with brokering teams
and operations to identify automation opportunities
Ship production-ready AI features that deliver measurable impact
Establish rigorous evaluation frameworks for AI in regulated insurance contexts
Drive rapid experimentation cycles using modern AI development practices
Develop the next generation of AI talent by mentoring engineers on production AI systems
Pioneer the application of cutting-edge AI research to insurance challenges
Own the complete product development lifecycle for AI initiatives
How You'll Work.
Team & Collaboration
Embed directly with brokering teams, underwriters, and operations; building solutions side-by-side with the people who use them daily; collaborate effectively with data scientists
Communication Scope
effectively communicate complex technical concepts to non-technical stakeholders
Process & Methodology
rapid experimentation cycles, product development lifecycle
Full Job Description
Newfront (a WTW company) embraces a flexible work environment and supports employees working remotely, hybrid, or in-office. You'll join a team creating agentic services that invisibly handle the routine insurance work that consumes 80% of brokers' time, freeing them to focus on high-stakes strategy and relationship building. We're deploying autonomous systems that act as placement agents, fractional AI analysts, and intelligent workflow orchestrators – not just augmenting human work, but fully automating entire categories of tasks. Our approach is radically different: small, specialized teams that embed directly with the business, building production systems that deliver immediate value. This position is a salary, exempt, and full-time position and reports to the VP of Engineering, Data. This is a US-based remote or hybrid role with the option to work from any of Newfront's office locations. #LI-Remote WHAT YOU’LL BE RESPONSIBLE FOR: - Build 0-1 AI systems that transform core brokering workflows – from intelligent submission processing that auto-extracts data from 100+ page documents and routes complex commercial policies between AI agents and expert brokers, to autonomous AI that enables brokers to manage 1000+ client renewals simultaneously, owning the full stack from prototype to production. - Embed directly with brokering teams, underwriters, and operations to identify automation opportunities, building solutions side-by-side with the people who use them daily. You'll be acting as an internal FDE, where you're both engineer and business strategist. - Ship production-ready AI features that deliver measurable impact – reducing quote turnaround time by 80%, increasing broker capacity by 10x, and improving placement success rates through intelligent market matching and risk assessment. - Establish rigorous evaluation frameworks for AI in regulated insurance contexts, implementing comprehensive testing pipelines, hallucination detection, and accuracy monitoring to e
Applying for this Staff AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Newfront?
Real rants from real employees. Read before you apply.