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Google Ai Essentials Jobs in California (NOW HIRING)

Deloitte

Cyber Manager - AI SOC

Sacramento, CA · On-site

$118K - $159K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations

Deloitte

Cyber Manager - AI SOC

San Diego, CA · On-site

$117K - $159K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations

Deloitte

Cyber Manager - AI SOC

Los Angeles, CA

$119K - $161K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations

Deloitte

Cyber Manager - AI SOC

San Francisco, CA · On-site

$130K - $176K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations

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Google Ai Essentials information

What is Google AI Essentials?

Google AI Essentials is an online course developed by Google to provide foundational knowledge and practical skills in artificial intelligence (AI). The course is designed for beginners and covers key topics such as machine learning basics, ethical considerations, and how AI is used in real-world applications. It includes hands-on exercises and does not require prior coding experience, making it accessible for a wide range of learners. Upon completion, participants receive a certificate that can help demonstrate their understanding of AI concepts to employers.

What skills and qualifications are needed to work with Google AI Essentials?

To excel with Google AI Essentials, you need a foundational understanding of artificial intelligence concepts, data analysis, and problem-solving, often supported by relevant coursework or certifications. Familiarity with Google Cloud Platform tools, TensorFlow, and basic programming languages like Python is commonly required. Strong communication, curiosity, and adaptability help professionals effectively translate AI insights into actionable business strategies. These competencies enable individuals to implement AI solutions responsibly and drive innovation within their organizations.

What types of projects do employees work on in the Google AI Essentials team, and how does collaboration occur across departments?

In the Google AI Essentials team, employees often work on foundational AI projects that support Google's core products and services, such as developing scalable machine learning models, optimizing data pipelines, and enhancing AI infrastructure. Collaboration is highly cross-functional, with regular interactions between engineers, product managers, researchers, and UX designers to ensure solutions are technically robust and user-centric. Team members frequently participate in code reviews, brainstorming sessions, and sprint planning meetings, fostering a culture of continuous learning and knowledge sharing. This collaborative environment helps team members broaden their expertise and contribute to impactful, high-visibility projects.

What is the difference between Google Ai Essentials vs Data Analyst?

AspectGoogle Ai EssentialsData Analyst
Required CredentialsBasic understanding of AI tools, certifications in Google Cloud or AI fundamentalsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI-focused projects, cloud platformsBusiness intelligence, finance, marketing departments across industries
Employer & Industry UsagePrimarily tech and AI companies using Google Cloud servicesVarious industries analyzing data to inform business decisions
Search & Comparison IntentUnderstanding AI tools and certificationsData analysis skills and career paths

Google Ai Essentials focuses on foundational AI knowledge and Google Cloud certifications, ideal for roles involving AI tools. Data Analysts interpret data to support business decisions, often requiring statistical expertise. While both roles involve data, Google Ai Essentials is more tech and AI tool-oriented, whereas Data Analysts focus on data interpretation across industries.

Can you get a job with a Google Ai Essentials certificate?

A Google AI Essentials certificate can enhance your qualifications for roles involving artificial intelligence, machine learning, and data analysis. While it demonstrates foundational knowledge, employers typically look for additional skills, experience, and relevant tools such as TensorFlow or Python to qualify for AI-related jobs.

What are popular job titles related to Google Ai Essentials jobs in California?

For Google Ai Essentials jobs in California, the most frequently searched job titles are:

What job categories do people searching Google Ai Essentials jobs in California look for?

The top searched job categories for Google Ai Essentials jobs in California are:

What cities in California are hiring for Google Ai Essentials jobs?

Cities in California with the most Google Ai Essentials job openings:

Google Ai Essentials jobs near you
Infographic showing various Google Ai Essentials job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director of AI Strategy & Enablement

Webcor

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago

Job description

The Director of AI Strategy & Enablement leads the development and execution of the company's enterprise AI strategy, governance framework, and adoption initiatives. Serving as a bridge between business and technology, this role ensures AI investments are aligned with organizational goals, governed appropriately, and deliver measurable business outcomes. The Director is responsible for establishing AI policies and standards, guiding responsible AI practices, identifying and prioritizing business use cases, driving enterprise adoption, and overseeing the realization of value from AI-enabled solutions across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
AI Strategy & Roadmap
  • Develops and maintains the enterprise AI strategy aligned with business objectives and corporate priorities.
  • Establishes a multi-year AI roadmap that identifies opportunities to improve operational efficiency, project delivery, workforce productivity, safety, and business performance.
  • Partners with executive leadership to prioritize AI investments and initiatives based on strategic value and risk.
  • Monitors emerging AI technologies, trends, and regulations and assess their applicability to the business.

AI Governance & Responsible AI
  • Develops and maintains AI governance policies, standards, and operating procedures.
  • Establishes processes for evaluating, approving, monitoring, and managing AI solutions and use cases.
  • Leads the AI Governance Council and facilitates cross-functional decision-making.
  • Ensures AI initiatives align with legal, compliance, privacy, cybersecurity, and data governance requirements.
  • Develops frameworks for responsible AI, including transparency, accountability, human oversight, bias mitigation, and risk management.

Data Governance Alignment
  • Partners with data owners and data stewards to improve data quality, ownership, accessibility, and reliability.
  • Ensures AI initiatives are supported by trusted and governed enterprise data.
  • Aligns AI governance practices with enterprise data governance standards.

Enterprise AI Adoption & Enablement
  • Leads enterprise-wide AI adoption initiatives to increase employee productivity and business value realization.
  • Develops adoption strategies for tools such as Microsoft Copilot and other approved AI platforms.
  • Identifies barriers to adoption and implement change management strategies to address them.
  • Partners with business leaders to identify, prioritize, and advance AI use cases.
  • Establishes metrics to measure AI adoption, engagement, and business outcomes.

AI Use Case Portfolio Management
  • Maintains a prioritized pipeline of AI opportunities.
  • Evaluates business cases and expected value.
  • Coordinates project delivery across business units.

AI Literacy & Workforce Development
  • Develops and executes AI education and awareness programs for employees at all levels.
  • Creates role-based AI learning paths for executives, managers, and individual contributors.
  • Fosters a culture of responsible experimentation and innovation.
  • Establishes an AI Champions network to promote adoption and knowledge sharing across departments.

Executive Communication
  • Advises executive leadership on emerging AI trends, risks, and opportunities.
  • Develops executive briefings and board-level updates.
  • Leads AI strategy workshops and planning sessions.

TECHNICAL SKILLS AND KNOWLEDGE REQUIRED
  • Strong understanding of Generative AI, Large Language Models (LLMs), and modern AI capabilities and limitations.
  • Familiarity with prompt engineering concepts and best practices.
  • Advanced knowledge of construction operations, including scheduling, estimating, project management and safety workflows and protocols.
  • Basic knowledge of construction data schemas and common industry platforms such as Autodesk Construction Cloud, Revit, CMiC, Box, Oracle P6 and Workday is preferred.
  • Strong project management and organizational skills with the ability to manage multiple initiatives simultaneously.
  • Working knowledge of business intelligence and analytics platforms.
  • Working knowledge of change management and the ability to explain complex technical concepts to non-technical field staff.

REQUIRED EDUCATION AND WORK EXPERIENCE
  • Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, Architecture, or equivalent experience.
  • 5+ years of experience managing complex projects in the AEC (Architecture, Engineering, Construction) industry, including three years as a Project Engineer or equivalent.
  • Minimum of three years of experience supporting digital transformation, VDC, or the deployment of technology initiatives in the field.
  • Experience on sustainable and/or design-build projects is preferred.
  • AI related certifications (Microsoft AI-900, Google, AI Essentials, etc) a plus.

BEHAVIORAL COMPETENCIES REQUIRED
  • Strategic level communication and facilitation skills, including presenting to executive and field audiences, effectively conveying the business value of AI tools.
  • Demonstrates the capacity to articulate thoughts clearly and concisely, specifically when translating complex technical jargon for field audiences.
  • Demonstrated ability to drive adoption in resistant or change-averse environments.
  • Demonstrates an advanced level of customer focus and a remarkable ability to collaborate with diverse stakeholders from trade to Executive Leadership.
  • Strategic level decision quality and use of sound judgement when handling sensitive project data.

PHYSICAL REQUIREMENTS
Performance of the required duties will require physical ability to sit for long periods of time at a desk, generally up to 7 hours per day and regularly working on-site at the construction work site. Repetitive motion using hands with constant keyboarding and physical use of vision to read computer monitors including close vision for coding and data analysis. Regularly required to use hands to operate standard office equipment (personal computer, photocopy machine, etc.). Occasionally required to stoop, kneel, and lift up to 15 pounds. The noise level in the office work environment is usually moderate to loud. The employee regularly works at the construction work site to validate technology implementation, deliver on-site training and demonstrations where the employee will be required to climb permanent and temporary stairs and is exposed to moving mechanical parts and outside weather conditions. The noise on the construction work site is usually moderate to very loud.
This is a general statement of required major duties and responsibilities performed on a regular and continuous basis. It does not exclude other duties as assigned. Webcor is AN EQUAL OPPORTUNITY EMPLOYER. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Range of base pay is $193,000-$220,000. Actual pay is based on individual skill level and experience.
Webcor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Webcor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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