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Technical Solutions Consultant, Agent Assist, Applied AI

Google

Sunnyvale, CA

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JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Benchmarking, Best Practices, C++ Programming Language, CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing), Cloud Computing, Consulting, Customer Experience, Data Processing, Data Sets, Design Evaluation, Develop and Maintain Customers, Environmental Impact, Equal Employment Opportunity (EEO), Genesys Solutions, Go Programming Language (Golang), Java, Loss Prevention, Mathematics, Open Source, Operating Systems, Product Planning, Production Systems, Project/Program Management, Python Programming/Scripting Language, SQL (Structured Query Language), Salesforce.com, ServiceNow, Startup, Stress Testing, Team Player, Technical Consulting, Technical Leadership, Technical/Engineering Design, User Documentation, Writing Skills
LOCATION
Sunnyvale, CA
POSTED
30+ days ago
Google utilizes AI tools to assist in assessing candidates in our hiring processes.
This posting is for a new vacancy.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA; Waterloo, ON, Canada.

Minimum qualifications:

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 3 years of experience in technical project management, stakeholder management, solution development, or technical consulting.
  • Experience with LLMs, prompt development, and conversational AI frameworks (e.g., Vertex AI Agent Space, CX Insights).
  • Experience programming in one or more languages (e.g., Java, Python, Go, C++).
  • Experience with data systems, SQL, data architecture, and data processing within environments like BigQuery.

Preferred qualifications:

  • Knowledge of advanced data redaction strategies using Cloud data loss prevention (DLP) API to ensure personally identifiable information (PII) protection and compliance within AI-generated transcripts.
  • Understanding of frameworks like LangChain and BigQuery while translating LLM concepts, such as pre-training versus RAG, for non-technical stakeholders.
  • Ability integrate LLMs with mission-critical platforms like Salesforce, ServiceNow, and Genesys to create a seamless, reliable "Agent OS" for autonomous operations.
  • Ability to maintain a portfolio of open-source projects, internal tools, or technical guides.
  • Ability to build production systems within multi-stakeholder technical projects, leveraging Google Cloud foundations as a significant advantage for global deployments.

About the job

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for customer experience (CX), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

As a Technical Solutions Consultant, you will be a technical builder and consultant responsible for turning the promise of Agentic AI into production reality for Google’s global customers. You will work at the intersection of Product, Developing, and the Customer, translating business friction into elegant, reasoning-based AI solutions. In this role, you will contribute to the end-to-end delivery of agentic solutions, implementing best practices for delivering at scale and velocity.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $127000 - $183000 (USD) + 15% bonus target + bonus + equity + benefitsCanada: $138000 - $142000 (CAD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Drive 0-to-1 technical engagements, designing agent reasoning and guardrails while personally refining retrieval-augmented generation (RAG) pipelines, prompt chains, and application programming interface (API) integrations.
  • Design evaluation pipelines using "gold datasets" and automated "judge" LLM frameworks to benchmark latency, accuracy, and brand fidelity.
  • Bridge non-deterministic LLM outputs with deterministic systems like Salesforce and ServiceNow to ensure safe, reliable, and mission-critical operations.
  • Deploy and stress-test pre-GA features in real-world environments, providing field intelligence to influence Google cloud product and development roadmaps.
  • Author architectural patterns and prompt development guides while implementing ingestion pipelines for conversational data using Gemini and Vertex AI.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V