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're looking for 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; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Senior Forward Deployed Developer (FDD), you will be at the forefront of applying Google's Generative AI to solve real-world issues for our customers. You will act as a specialized software developer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and 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.
The Canada base salary range for this full-time position is CAD 182,000-187,000 + 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.
Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Partner directly with customers to understand their business issues. 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 contribute directly to the core product codebase.
- Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.
- Serve as a critical feedback loop to our core Product and developing teams, synthesizing firsthand insights to influence product strategy.
- Consult as a subject matter expert, providing technical guidance on agent improvement, performance tuning, CI/CD pipelines, and production readiness.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 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 (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.
- 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, and 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.