Front Deployment Engineer

Front Deployment Engineer (FDE) - GECX Service

Location: Must-have: Silicon Valley California (San Francisco, CA - local candidates only)

Team: Applied AI - CX Agent Studio

Long Term Contract

This role requires 50% business travel on 2 4-week customer engagements.

If a candidate happens to be a sub-contractor, and if the candidate travels to client locations. All expenses incurred will be paid to the vendor and not to the candidate. Vendor will submit an invoice with all receipts attached to the Finance to get paid. Note that candidate is required to travel to client locations in California. The main location for the work will be Silicon Valley, California. Due to the nature of the job a candidate may travel a week or a few days at any given time.

Delivery Roles: Job Descriptions

We are defining a new archetype of 'Front Deployed Engineering Team' that is AI-enabled and capable of handling a broad set of functional and technical skills. Unlike previous conversational systems based on intent detection, this team will deliver the next generation of agentic solutions using Generative AI.

Role Summary :

We are seeking a Front Deployment Engineer who represents a new archetype of AI-enabled engineer. Unlike legacy conversational agent roles, this position requires deep technical capability aligned with the CPSE (Cloud Professional Services Engineer) job profile. You will travel up to 50% of the time to customer or engineering sites, delivering front-end, back-end, and cloud technologies across storage, compute, and network layers. You will serve as the hands-on technical expert, pivoting from legacy systems to advanced Generative AI frameworks.

Note: The skills for this role are aligned with the SCE (Strategic Cloud Engineer) profile that may exist in your organization, particularly the App Modernization, Infrastructure, and AI/ML teams. We intend to train and scale through that team only.

Key Responsibilities

Full Stack & Agentic Delivery: Deliver comprehensive solutions across front-end, back-end, and cloud technologies. Utilize Generative AI (Gemini preferred) and common frameworks (ADK, LangChain, etc.) to build production-grade agents.

Customer Engineering & Advocacy: Navigate complex customer organizations and handle objections with high levels of empathy. Be strongly opinionated and morally grounded in the face of extreme opposition to drive technical success.

Legacy Migration: For specific migration projects, leverage experience in Google DialogFlow, CCAI, and Telephony/CCaaS to transition customers from legacy architectures to GECX Service.

Rapid Prototyping & Problem Solving: Instinctively solve blocking customer scenarios in minutes or hours (e.g., "Code an eval pipeline in Python," "Build an audio connector using streaming APIs") without external reliance, leveraging Gemini as a force multiplier.

Core Competencies

Engineering Depth (CPSE Profile): Coding skills equivalent to L3 SWE (any language). IMPORTANT: Non-coders / non-CPSE profiles should be excluded from consideration.

AI/ML Fluency: Deep familiarity with Generative AI, ADK, and agentic frameworks.

Customer Resilience: Ability to handle extreme opposition and navigate complex organizational dependencies.

Qualifications

Minimum Qualifications:

Coding Proficiency: Proven coding skills equivalent to an L3 Software Engineer (working examples/repos required for review).

Language Skills: Fluency in English plus one major regional language.

Travel: Willingness to travel up to 50% of the time to remote locations.

Cloud Experience: Experience delivering greenfield customer Cloud Foundations on Google Cloud Platform.

Preferred Qualifications:

Certification: Cloud Professional certification on Cloud Infrastructure.

Framework Experience: Working experience with ADK (Agent Development Kit).

Legacy Knowledge: Experience with Google DialogFlow and CCAI (specifically for migration roles).

Portfolio: Visible code repositories or examples of agents built on modern frameworks.