Technical Solutions Consultant, Agent Assist, Applied AI

Technical Solutions Consultant, Agent Assist, Applied AI - Google Careers

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Technical Solutions Consultant, Agent Assist, Applied AI

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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.

The US base salary range for this full-time position is $127,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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