ZipRecruiter

Log In

1

Director Google Gemini Jobs (NOW HIRING)

VLink Inc

Gemini AI architect

San Ramon, CA · On-site

Nice to Have Direct experience deploying agents on Google Gemini Enterprise / Agentic Studio Platform (Custom Agents, Search UX, business apps) in production. Experience with AI evaluation tooling ...

next page

Showing results 1-20

All JobsTechnology JobsDirector Google Gemini Jobs

Director Google Gemini information

What does a director Google Gemini do?

A Director of Google Gemini is responsible for overseeing the development, strategy, and execution of Google's Gemini project, which focuses on advanced AI and machine learning models. This role involves managing teams of engineers, researchers, and product managers to ensure that Gemini's innovations align with Google’s broader goals. The director also collaborates with other departments, sets priorities, and ensures that the technology is scalable, secure, and aligned with user and business needs. Additionally, they may represent the project in public forums, contribute to strategic planning, and drive the adoption of Gemini’s capabilities across Google’s products.

What are the key skills and qualifications needed to thrive as a director Google Gemini?

To excel as a Director for Google Gemini, you need extensive experience in product management, AI technologies, and leadership, often supported by an advanced degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms (like Google Cloud), and agile development methodologies is typically required. Outstanding strategic thinking, cross-functional collaboration, and communication skills distinguish top performers in this role. These competencies are vital to drive innovation, oversee complex projects, and align teams with Gemini's business goals in a fast-evolving tech landscape.

What are some common challenges faced by a director Google Gemini, and how can candidates prepare to address them?

Directors leading Google Gemini initiatives often navigate complex cross-functional collaboration, balancing the needs of engineering, product, and business teams. A key challenge is aligning diverse stakeholders while driving innovation and ensuring project milestones are met. Candidates can prepare by strengthening their strategic planning, communication, and change management skills, as well as gaining experience in scaling AI/ML products. Demonstrating a track record of leading multidisciplinary teams and adapting to fast-paced environments will be particularly valuable.

What cities are hiring for Director Google Gemini jobs?

Cities with the most Director Google Gemini job openings:

What are the most commonly searched types of Google Gemini jobs?

The most popular types of Google Gemini jobs are:

What states have the most Director Google Gemini jobs?

States with the most job openings for Director Google Gemini jobs include:

What job categories do people searching Director Google Gemini jobs look for?

The top searched job categories for Director Google Gemini jobs are:

Director Google Gemini jobs near you
Infographic showing various Director Google Gemini job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Gemini AI architect

VLink Inc

San Ramon, CA • On-site

Other

Posted 18 days ago

Key responsibilities

  • Design, develop, and ship Custom Agents using the Agent Development Kit (ADK) and register them in the Agent & Tool Registry.

  • Wire agents to enterprise systems via MCP servers, enforce Agent Identity, Security, and Observability end to end.

  • Prototype, evaluate emerging AI technologies, and ship solutions to improve organizational efficiency.

Job description

Description:

Job Title: Gemini AI architect

Location: San Ramon, CA - Hybrid

About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest

growing digital technology services and consulting companies. Since its inception, our innovative

team members have been solving the most complex business, and IT challenges of our global

clients.

Job Description:

As an Applied AI Developer on the Enterprise AI team, you'll evaluate where AI fits, build the tools and platforms that make it practical, and enable teams across the company to adopt modern AI development patterns including LLM orchestration, agentic workflows, and model governance on Google Gemini Enterprise. You'll design and ship Custom Agents using the Agent Development Kit (ADK), register them in the Agent & Tool Registry, wire them to enterprise systems via BYO and vendor-managed MCP servers, and enforce Agent Identity, Security, and Observability end to end. You stay hands-on and outcomes-oriented: prototyping, evaluating emerging AI technologies, and shipping solutions that make the organization measurably more efficient.

Required qualifications to be successful in this role:

12+ years of professional software engineering, with at least 2 years focused on applied AI in production systems.

Proficient in Python and/or Go; comfortable reading and writing in the other.

Proven experience building and scaling multi-agent or agent-driven systems in production real-world operational ownership, not just simple LLM workflows.

Hands-on experience with Google Gemini Enterprise and the Agent Development Kit (ADK), or comparable enterprise agent platforms, including agent runtime, agent/tool registration, identity, and observability.

Hands-on experience with modern agent ecosystems, including frameworks (e.g., Google ADK, LangGraph, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Agent Observability, Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs across a multi-model / BYOLLM environment (e.g., Gemini/Vertex AI, Anthropic (Claude), OpenAI, LLAMA).

Good understanding of cloud-native environments, with Google Cloud (Google Cloud Platform) and Vertex AI strongly preferred (and/or AWS) compute, storage, networking, and managed AI services.

Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC), and connecting agents to enterprise data sources across Google Workspace and Microsoft 365. Comfortable working with backend databases (SQL and NoSQL) writing queries, understanding data models, and building data access layers that enforce role-based access control aligned with Agent Identity and Agent Security.

Nice to Have

Direct experience deploying agents on Google Gemini Enterprise / Agentic Studio Platform (Custom Agents, Search UX, business apps) in production.

Experience with AI evaluation tooling (Agent Observability, Langfuse, LangSmith, Braintrust, or custom eval frameworks).

Equal Employment Opportunity (EEO) Statement:

VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check and/or drug screening, as applicable. Applicant information will be handled in accordance with VLink's privacy policy.

Apply