GAC Solutions
Gemini Enterprise SME
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gemini Enterprise SME with a contract length of "unknown," offering a pay rate of "unknown." Requires 5+ years in cloud, AI/ML, or platform engineering, strong Python skills, and expertise in GCP and Gemini APIs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Python #Scala #Security #Observability #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Cloud #Deployment #ML (Machine Learning) #API (Application Programming Interface)
Role description
• Seeking a Gemini Enterprise Experience Engineer with strong expertise in building GenAI solutions on GCP.
• Hands-on experience with Gemini APIs and Vertex AI for developing enterprise-grade AI applications.
• Ability to design and implement agentic AI workflows using tools like Agent Builder, ADK, or similar frameworks.
• Strong proficiency in Python and API-based integrations for AI solution development.
• Experience integrating AI solutions with enterprise systems, data sources, and APIs.
• Focus on productionizing AI solutions with security, governance, and observability in mind.
• Experience building scalable and secure GenAI applications for enterprise use cases.
• Familiarity with RAG patterns, structured outputs, and tool calling is a plus.
• Exposure to CI/CD and cloud-native deployments on GCP preferred.
• 5+ years of experience in cloud, AI/ML, or platform engineering with enterprise solution delivery.
• Seeking a Gemini Enterprise Experience Engineer with strong expertise in building GenAI solutions on GCP.
• Hands-on experience with Gemini APIs and Vertex AI for developing enterprise-grade AI applications.
• Ability to design and implement agentic AI workflows using tools like Agent Builder, ADK, or similar frameworks.
• Strong proficiency in Python and API-based integrations for AI solution development.
• Experience integrating AI solutions with enterprise systems, data sources, and APIs.
• Focus on productionizing AI solutions with security, governance, and observability in mind.
• Experience building scalable and secure GenAI applications for enterprise use cases.
• Familiarity with RAG patterns, structured outputs, and tool calling is a plus.
• Exposure to CI/CD and cloud-native deployments on GCP preferred.
• 5+ years of experience in cloud, AI/ML, or platform engineering with enterprise solution delivery.
