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Google Cleared Jobs (NOW HIRING)

Kentro is always interested in connecting with cleared Full Stack Developers who are passionate ... Working within cloud environments such as AWS, Azure, or Google Cloud. Qualifications * Bachelor ...

Kentro is always interested in connecting with cleared Full Stack Developers who are passionate ... Working within cloud environments such as AWS, Azure, or Google Cloud. Qualifications * Bachelor ...

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Google Cleared information

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$92.7K

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How much do google cleared jobs pay per year?

As of Jun 22, 2026, the average yearly pay for google cleared in the United States is $92,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $127,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks will I typically work on as a Google Cleared professional?

As a Google Cleared professional, you will often work on projects that involve managing or securing sensitive data, supporting cloud infrastructure for government or regulated industry clients, or implementing solutions that meet stringent compliance standards. Your daily tasks might include system monitoring, incident response, configuring access controls, or collaborating with cross-functional teams to deploy secure cloud-based services. You may also participate in audits, risk assessments, and documentation as part of maintaining compliance. This role requires close teamwork with engineers, project managers, and security analysts, fostering a dynamic and collaborative work environment. Successfully managing these responsibilities can open doors to advanced positions in cybersecurity, cloud architecture, or technical leadership within highly trusted sectors.

What are the key skills and qualifications needed to thrive in the Google Cleared position, and why are they important?

To thrive in a Google Cleared role, candidates generally need a recognized security clearance, a strong technical background—often in IT, engineering, or cybersecurity—and relevant professional experience. Familiarity with Google Cloud Platform (GCP), enterprise security tools, and government compliance frameworks such as FedRAMP or NIST is typically required. Outstanding problem-solving abilities, attention to detail, and excellent collaboration skills set top candidates apart. These qualifications ensure the individual can securely handle sensitive projects while adhering to strict protocols within a highly regulated environment.

What is a Google Cleared job?

A Google Cleared job refers to a position at Google that requires candidates to obtain a security clearance, typically for roles involving sensitive or classified information. These positions are often in areas like cybersecurity, infrastructure security, or government-contracting projects. Candidates must undergo background checks and meet specific clearance requirements set by government agencies.

More about Google Cleared jobs
What cities are hiring for Google Cleared jobs? Cities with the most Google Cleared job openings:
What are the most commonly searched types of Google Cleared jobs? The most popular types of Google Cleared jobs are:
What states have the most Google Cleared jobs? States with the most job openings for Google Cleared jobs include:
Infographic showing various Google Cleared job openings in the United States as of June 2026, with employment types broken down into 53% Full Time, 18% Part Time, and 29% Contract. Highlights an 91% Physical, 7% Hybrid, and 2% Remote job distribution, with an average salary of $92,741 per year, or $44.6 per hour.
Cleared GenAI Engineer

Cleared GenAI Engineer

Accenture Federal Services

Arlington, VA • On-site

Full-time

Posted 2 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government improve national security and public safety. They are seeking a Cleared GenAI Engineer to develop generative AI models and solutions that address mission-critical problems for clients, collaborating with a diverse team of experts in AI and software engineering.
Responsibilities:
• Design and build GenAI use cases based on client's needs and specific data
• Understanding of Agentic AI frameworks and design and when they are appropriate for use
• Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock.
• Implement large language models (LLMs) and transformer models to create advanced AI applications.
• Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models.
• Utilize NVIDIA AI Foundations and OpenAI ChatGPT to develop and refine AI applications.
• Leverage Databricks LLM and Databricks Mosaic AI for data analysis and AI model development.
• Show your curiosity, motivation, and passion for experimentation and continuous learning to drive AI innovation that is applicable across enterprise client domains.
Qualifications:
Required:
• Experience working with modern generative AI capabilities including large language models, transformer models, and retrieval-augmented generation
• Expertise in AI platforms (e.g., Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI, etc.)
• Experience with Google Cloud services (e.g., Document AI, Gemini, Gemma, Generative AI Language Models)
• Experience building RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)
• Experience using modern software languages (e.g., Python, SQL, Go) to develop generative AI solutions
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
Preferred:
• Strong understanding of AI ethics, responsible AI, and generative AI data ethics
• Experience in LLM fine-tuning and LLMOps
• Ability to author and validate prompts for AI models
• Familiarity with NVIDIA AI Foundations and OpenAI ChatGPT
• Experience with AI-assisted development platforms (e.g., Cursor, Windsurf, Claude, etc.)
• Experience implementing tool-using AI agents to assist in API integration - enabling agent access to external data sources and web services
• Experience using deployment/virtualization tools in containerized environments (e.g., VMware, Docker, Kubernetes)
• Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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