Forward Deployed AI Engineer

Experis (Austria)

Hartford (CT)

On-site

USD 96,000 - 103,000

Full time

2 days ago

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Benefits offered by this job

Medical Plan

Dental Plan

Vision Plan

HSA

FSA

Dependent Care FSA

Life Insurance

Disability Insurance

Travel Insurance

401k Match

Weekly Pay

Job summary

Experis operates as a forward-deployed AI engineering partner in Hartford, CT, delivering agentic AI solutions for the insurance industry. The role spans discovery to deployment, focusing on rapid prototyping and production-ready GenAI on Google Cloud.

You will work with business SMEs and technical teams to translate complex requirements into scalable AI products. Ideal candidates have 5–10 years in solution or AI engineering, hands-on GenAI with Google Cloud, and strong governance and

Qualifications

5 to 10 years of experience in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise application development, preferably in client-facing roles.
Hands-on experience building GenAI and agentic AI solutions using Google Cloud technologies, including 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, including direct collaboration with executives, business SMEs, and technical teams.

Responsibilities

Lead AI solution delivery for the insurance industry from discovery through production deployment, with an emphasis on outcomes that are measurable and repeatable.
Design, build, and scale agentic AI solutions on Google Cloud to address underwriting, claims, pricing, distribution, and servicing challenges.
Translate complex business requirements into production-ready AI products by partnering with business SMEs and technical teams.
Develop reusable accelerators, frameworks, and best practices that improve delivery speed and quality across engagements.
Rapidly prototype and iterate, moving from concept to working demonstrations within days in ambiguous environments.

Skills

GenAI

Agent design

Google Cloud

Vertex AI

Prompt engineering

Agent orchestration

RAG architectures

Governance

Business communication

Tools

Gemini

BigQuery

Agent Builder

Cloud Run

Job description

The Forward Deployed AI Engineer role supports client engagements by leading delivery of agentic AI solutions for the insurance industry, spanning discovery through production deployment. The position focuses on rapid prototyping and production-ready GenAI and agent design on Google Cloud, working closely with business and technology stakeholders throughout.

Responsibilities

Lead AI solution delivery for the insurance industry from discovery through production deployment, with an emphasis on outcomes that are measurable and repeatable.
Design, build, and scale agentic AI solutions on Google Cloud to address underwriting, claims, pricing, distribution, and servicing challenges.
Translate complex business requirements into production-ready AI products by partnering with business SMEs and technical teams.
Develop reusable accelerators, frameworks, and best practices that improve delivery speed and quality across engagements.
Rapidly prototype and iterate, moving from concept to working demonstrations within days in ambiguous environments.

Requirements

5 to 10 years of experience in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise application development, preferably in client-facing roles.
Hands-on experience building GenAI and agentic AI solutions using Google Cloud technologies, including 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, including direct collaboration with executives, business SMEs, and technical teams.

Technologies