Forward deployment engineer

problem - solving and communication skills

bigquery

P&C Insurance

Google Cloud Certifications

Prototyping & Deployment

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 Big Query 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

Experience developing reusable frameworks accelerators and enterprise scale AI delivery methodologies

The pay range that the employer in good faith reasonably expects to pay for this position is $57.79/hour - $90.29/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage;

return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.