Senior AI Solutions Engineer (Insurance)

BrainWave Professionals

Hartford (CT)

On-site

USD 96,000 - 165,000

Full time

4 hours ago
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Job summary

BrainWave Professionals seeks a Senior AI Solutions Engineer (Insurance) to lead AI solution delivery for insurance clients from discovery to deployment. The role demands hands-on GenAI work using Google Cloud tools and strong domain expertise in underwriting, claims, pricing, and servicing.

You will design, prototype, and productionize AI products, work with executives and SMEs, and drive measurable business outcomes while maintaining governance and compliance in complex environments.

Qualifications

  • 5-10 years of experience in solution/AI engineering or client-facing consulting.
  • Experience building GenAI/Agentic AI solutions on Google Cloud.
  • Strong ability to translate business challenges into production AI products.

Responsibilities

  • Lead engagements from discovery through production deployment.
  • Collaborate with executives and technical teams to define AI solutions.
  • Prototype rapidly and iterate demonstrations within days.
  • Design and integrate enterprise APIs and data workflows.
  • Ensure governance, risk, and compliance considerations are addressed.

Skills

AI engineering
Solution engineering
Client facing
GenAI
Google Cloud
LLM design

Tools

Vertex AI
Gemini
BigQuery
Agent Builder
Cloud Run

Job description

Job Title: Senior AI Solutions Engineer (Insurance)

Location: Hartford, CT

Duration: 3- 6+ Months with Possible Extension/C2H

JOB DESCRIPTION:

Forward Deployed Engineer specializing in AI solution delivery for the insurance industry responsible for leading engagements from discovery through production deployment Combines strong insurance domain expertise with deep experience in Google Clouds AI ecosystem to rapidly design build and scale agentic AI solutions that drive measurable business outcomes Works directly with business and technology stakeholders to translate complex underwriting claims pricing distribution and servicing challenges into production ready AI products while contributing reusable accelerators and best practices across engagements

Required

5-10 years of experience with experience in solution engineering AI engineering forward deployed engineering consulting or enterprise application development preferably in client facing roles

Handson experience building GenAI and Agentic AI solutions using Google Cloud technologies such as Vertex AI Gemini BigQuery Agent Builder Cloud Run and related services

Strong understanding of LLM application design prompt engineering agent orchestration RAG architectures evaluation frameworks and AI governance

Experience designing and integrating enterprise applications APIs data platforms and workflow solutions

Strong business consulting and communication skills with the ability to interact directly with executives business SMEs and technical teams

Proven ability to rapidly prototype and iterate solutions moving from concept to working demonstration within days

Comfortable operating in ambiguous environments with a strong bias toward action experimentation and outcome delivery

Insurance Domain Expertise

Strong understanding of Property Casualty Life Reinsurance or Specialty Insurance operations

Experience supporting business functions such as underwriting claims pricing actuarial policy administration customer servicing distribution or broker operations

Familiarity with insurance data models regulatory considerations document heavy workflows and operational processes

Ability to identify AI opportunities that drive measurable business outcomes including loss ratio improvement underwriting efficiency claims productivity customer retention and agent effectiveness

Preferred

Google Cloud Professional Certifications Generative AI Machine Learning Engineer Cloud Architect or Data Engineer

Experience with insurance platforms such as Guidewire Duck Creek Majesco Sapiens or similar ecosystems

Exposure to regulated industry governance model risk management auditability explainability and AI compliance requirements.

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