Senior Agent Engineer, Google Cloud, Applied AI

Google Inc.; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays per year

Job summary

Google Inc. is seeking a Senior Applied AI Agent Developer to lead the deployment of advanced generative AI agents for strategic customers. You will be embedded with key accounts, building, deploying, and optimizing sophisticated AI agents on Google’s platform.

You will work with product teams to accelerate customer success and shape future AI products. This role emphasizes hands-on coding, tooling, and direct customer impact with a high-visibility, fast-paced environment.

Qualifications

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8+ years of experience with data structures and algorithms.
• Experience with Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
• Experience in prompt development, model evaluation, and creative application of AI.

Responsibilities

• Partner directly with select strategic customers to design, co-develop, debug, and deploy custom conversational AI agents and solutions.
• Act as a high-level problem solver, write bespoke code, develop custom tooling, and contribute to core product codebase to resolve critical customer issues.
• Systematize learnings from customer engagements by creating reusable tools, accelerators, and best practices for organization-wide use.
• Serve as a feedback loop to core product and development teams, synthesizing field insights to influence product strategy and feature gaps.
• Provide technical guidance and best practices to customers on agent improvements, performance tuning, CI/CD pipelines, and production readiness.

Skills

AI agent development

Data structures & algorithms

Prompt development

Model evaluation

adaptability in dynamic environments

Education

Master's degree or PhD in Engineering/Computer Science

Tools

Vertex AI

BigQuery

Cloud Storage

Dialogflow

Job description

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Mid

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

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X In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
• Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).
• Ability to be flexible and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.

About the job

As a Senior Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
• Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
• Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
• Serve as a critical feedback loop to our core product and development teams. Synthesize insights from the field to influence product strategy and identify feature gaps.
• Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.

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 .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.