Forward Deployed Engineer, Applied AI

About the Forward Deployed Engineer, Applied AI Role at Google

As a Forward Deployed Engineer (FDE) at Google, you will be at the forefront of applying Google's cutting-edge Generative AI to solve real-world challenges for our most strategic customers. This high-impact role bridges the gap between our core product engineering teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.

The Applied AI team builds conversational agents deployed at a large scale that achieve very meaningful results in the real world, such as customer agents for large call center environments and fast food ordering systems. You will have unique opportunities to work directly with model builders (Google DeepMind / Vertex), learn from brilliant AI leaders, and engage with Global 1000 customers via Google Cloud relationships, making the opportunity in this space tremendous.

What You'll Do

• Partner directly with select, strategic customers to deeply understand their business challenges and needs.
• Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate customer time to value.
• Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase to resolve critical customer issues.
• Systematize learnings from customer engagements by creating reusable tools, building robust documentation, establishing accelerators, and defining best practices for broader organizational use.
• Serve as a critical feedback loop to Google's core Product and Engineering teams, synthesizing firsthand insights from the field to influence product strategy and identify gaps.
• Act as a subject matter expert, providing comprehensive technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• Experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) and text, image, video, or audio generation.

Preferred Qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience in solving customer problems by navigating ambiguous requirements to deliver effective technical solutions and tangible business outcomes.
• Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).
• Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow.
• 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 Google Cloud

Google Cloud's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We are looking for versatile software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile. As a software developer, you will work on projects critical to Google Cloud's needs, with opportunities to switch teams and projects as our fast-paced business grows and evolves. You will anticipate customer needs and be empowered to act like an owner, take action, and innovate, pushing technology forward.

Compensation & Benefits

The Canada base salary range for this full-time position is CAD 144,000-148,000, plus bonus, equity, and 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.

Key skills/competency

• Generative AI
• Machine Learning (ML) Infrastructure
• Conversational AI Agents
• Software Development
• Customer Engagement
• Problem Solving
• Prompt Development
• Vertex AI
• BigQuery
• Data Structures & Algorithms