Senior Agent Engineer, Google Cloud, Applied AI

Google; Sunnyvale (CA); On-site; USD 174,000 - 253,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) with company match

20 days paid time off per year

40 hours sick time per year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays per year

Job summary

Google Sunnyvale, CA is seeking a Senior Applied AI Agent Developer to lead the deployment and optimization of sophisticated AI agents for strategic customers on Google Cloud's Applied AI platform.

You will work closely with model builders and product teams, delivering high-impact solutions, and shaping the future of AI products in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with Speech/Audio, RL, ML infrastructure or related ML field.
• 5 years of experience with ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning).
• Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and with text, image, video, or audio generation.

Responsibilities

• Partner directly with select, strategic customers to understand their business challenges and deploy custom AI agents.
• Write bespoke code and tooling to resolve critical customer issues and contribute to core product codebase.
• Create reusable tools and accelerators from customer learnings and establish best practices.
• Provide technical guidance on agent improvement, performance tuning, and production readiness to customers.
• Synthesize field insights to influence product strategy and identify feature gaps.

Skills

Speech/Audio

Reinforcement Learning

ML Infrastructure

GenAI Concepts

Text/Image/Video/Audio Gen

ML Design & Deployment

Education

Bachelor’s degree

Master/PhD in Engineering/CS

Tools

Vertex AI

BigQuery

Cloud Storage

Dialogflow

Job description

Senior Agent Engineer, Google Cloud, Applied AI

Google – Sunnyvale, CA, USA; Kirkland, WA, USA

Mid

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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.


• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.


• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).


• Experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) and with text, image, video, or audio generation.

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.

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.

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 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• 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.

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