> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# AI Tooling Technical Solutions Consultant, GSRS Security Systems and Technology

Canonical URL: https://nextmove.md/fde/jobs/b06d4e026bdf987b

Google posts a FDE role to build for teams inside the company in Sunnyvale, CA and 6 more, at $152,000–$221,000 base, level with the senior FDE median of $190,000 across 1,864 postings with pay. Build and scale secure full-stack tools for Google’s Security Operations, integrating frontend interfaces, backend infrastructure, data flows, and legacy systems. Read from the employer’s posting on November 8, 2026.

- [Google](https://nextmove.md/fde/companies/google)

First seen Oct 22, 2026 · open on Google careers as of Nov 8, 2026

**$152,000–$221,000** *annualized* Sunnyvale, CA +6

Build and scale secure full-stack tools for Google’s Security Operations, integrating frontend interfaces, backend infrastructure, data flows, and legacy systems.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fb06d4e026bdf987b&placement=top)
- [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/91986104369980102)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$152K–$221K Level with the median

Midpoint $187K · median $190K

This job $152K to $221K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

[Compare pay across all Google postings](https://nextmove.md/fde/salary/google)

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** troubleshooting technical issues for internal/external partners or customers

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Sunnyvale, CA · Austin, TX · +5 more. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Sunnyvale, CA · Austin, TX · Boulder, CO · Chicago, IL · Mountain View, CA · New York, NY · Seattle, WA

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## The job description from Google

### About the job

As a AI Tooling Technical Solutions Consultant for the Global Security Systems and Technology (GSST) team, you will design and deliver secure, scalable, and integrated solutions for ambiguous issues within Security Operations, while maintaining privacy and legal standards. You will serve as the technical bridge between elegant frontend user interfaces and dynamic backend infrastructure, strategically embedding Google’s AI and Large Language Model (LLM) technologies to accelerate automation for efficiency and effectiveness. You will collaborate cross-functionally with end users, stakeholders, leadership, and peers, transform complex requirements into intuitive and impactful tools, utilizing metrics to demonstrate real-world performance and return on investment (ROI). You will be a technical expert and mentor who will elevate and advocate for software development best practices across the peer teams.From keeping Googlers safe and secure to managing disruptive events, the ability to anticipate, deter, detect, and act are the pillars of Google’s Global Security and Resilience Services (GSRS) team. As a member of GSRS you will help develop a culture where safety, security and resiliency are integrated into every facet of Google, including the creative process. You will help us continually identify, evaluate and monitor enterprise risks that could affect business activities and provide business leaders the information they need to make critical decisions. You'll collaborate with cross-functional teams to create innovative strategies and develop programs that drive sustainable effectiveness.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

### Responsibilities

- Architect and develop robust full-stack applications, partnering with infrastructure and security teams to seamlessly integrate new software solutions and tools with legacy systems.
- Deliver tools with properly built and supported data integrations for operational flows and business impact reporting purposes through tight collaboration with the data team.
- Implement embedded AI and Agentic solutions with focused development, testing, and validation to empower end users with greater efficiency and effectiveness.
- Manage the technical roadmap and strategy to scale and sustain the solutions you deliver through purpose-fit vendor teams.
- Provide expert technical support for complex use cases, ensuring strict compliance with privacy and security standards, while advocating engineering best practices, code reviews, and technical growth across the organization.

### Qualifications

### Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.
- 5 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience developing and deploying enterprise solutions leveraging machine learning and artificial intelligence, with a focus on Large Language Models (LLMs).
- Experience in Python, Go, or other modern backend languages.

### Preferred qualifications:

- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- Experience designing, building, and maintaining data pipelines using SQL, and managing production infrastructure through compute infrastructure and server platforms.
- Experience managing and aligning teams across operational, engineering, product, and UX disciplines.
- Experience with front-end web development using Angular, TypeScript, or similar frameworks.
- Experience writing and reviewing production-ready code in a distributed environment.
- Experience developing AI agents through the Google Cloud Agent Development Kit framework.

[View posting at Google](https://www.google.com/about/careers/applications/jobs/results/91986104369980102)

## About Google

Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.

Public · 5000+ people

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