Senior Director, Engineering, Applied AI Agents Platform

Company: Google
Location: Cupertino
Posted on: July 1, 2025

Job Description:

Minimum qualifications: Bachelors degree in Computer Science, a similar degree/field, or equivalent practical experience. 15 years of software engineering experience, including 10 years of experience in software engineering leadership roles building developer-facing products or platforms. Experience with conversational agents and generative AI concepts (e.g., large language models, fine tuning, distillation, function calling, and orchestration), development workflows, and use cases. Experience leading and managing development teams, with experience in project delivery. Preferred qualifications: PhD in Computer Science, Machine Learning, Data Mining, Information Systems, or related disciplines with technical expertise in one or more of the above mentioned areas or equivalent practical experience. Experience applying AI solutions and ML-related technologies to solve real-world AI/ML problems in consumer or enterprise applications. Experience in the AI/ML open-source community or relevant industry consortia. Ability to identify emerging trends in AI and developer tools, and translate them into actionable strategies. About the job The Applied AI organization within Google Cloud was established to build a broad and deep application portfolio that leverages the power of AI to redefine AI-powered conversations. Customers use our products to build hybrid conversational agents with both deterministic and generative AI functionality, giving them strict controls to use generative AI in a way that better meets their needs. As Senior Director, you will partner closely with their product counterpart to deliver and bring new products to life from idea to full life cycle engineering and agent capability in the Customer Engagement Suite. You will be responsible for the engineering teams developing the multi-modal agent platform serving the needs of customer interaction applications in areas like customer service and sales and in industries such as telecommunications, healthcare, retail, and financial services. You will be responsible for defining and developing the technical infrastructure and product functionality for these applications, working with multiple Google organizations, customers, and partners. In this role, you will utilize experience as a leader and experience managing dynamic engineering teams with a focus on GenAI applications and delivering results in a timely manner. You will build partnerships and relationships with a range of partner teams and be comfortable navigating highly ambiguous situations. Setting outlook and direction, improving productivity and quality standards, resolving systemic problems, identifying trends and implementing change are all keys to success. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $349,000-$485,000 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. Responsibilities Define and advocate for a road map for Google Clouds Applied AI conversational agents portfolio. Balance innovation, user research, and industry trends to push the boundaries of developer experience. Partner closely with the broader Applied AI, Cloud AI, and Google DeepMind teams, and external developer communities to align platform development with real-world use cases and pain points. Maintain a direct approach to software design, architecture, and coding standards to ensure the highest quality and scalability of our developer tool suite. Represent Google Cloud as an industry leader in generative AI development, contributing to conferences, publications, and open-source initiatives. Ensure the team maintains high standards of technical excellence, scalability, and reliability in all aspects of software development.

Keywords: Google, Carmichael , Senior Director, Engineering, Applied AI Agents Platform, IT / Software / Systems , Cupertino, California