Google Cloud Gen AI Architect

Qualifications

• Experience in working with structured as well as unstructured data for building RAG based solutions
• Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc
• Experience with agent frameworks such as Google ADK Langgraph CrewAI etc
• Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc
• Experience with AIML deep learning TensorFlow Python NLP
• Bachelors / master’s degree in computer science Engineering or equivalent
• 12 years in software architecture AIML and with a minimum of 2 years in GenAI system design
• Demonstrable experience delivering solutions on Google Cloud AI stack
• Familiarity with multiagent systems prompt engineering and agentic orchestration tools
• Solid understanding of security compliance and explainability in AI systems
• Excellent communication and leadership skills

Benefits

• Rate: $90/hr on c2c

Responsibilities

• Design end to end GenAI Agentic AI architectures using Google Cloud AI ML GenAI and VertexAI offerings
• Extensive handson experience in implementing end to end projects utilizing GenerativeAI
• Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components
• Define and implement Generative AI Agentic AI solution patterns leveraging frameworks such as using Vertex AI LangChain etc
• Lead the integration of AI solution and GenAI functionalities with broader IT ecosystems via APIs and secure workflows
• Extensive hands on experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc
• Excellent understanding of Generative AI related concepts methodologies and techniques
• Ensure system designs meet enterprise requirements for security data privacy explainability and scalability
• Develop solution blueprints and technical documentation for agentic approaches
• Guide and mentor technical teams on GenAI and agentbased architectural considerations Deployment and CICD best practices
• Good to have exposure to Hugging Face ecosystem

Full Description

About Company

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution.

We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed.

At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients.

Join us to challenge yourself and accomplish work that matters

Job Title Google Cloud GenAI Architect

Job Location Los Angeles, CA [Onsite Work]

Duration 12 Months [Potential Extensions]

Rate: $90/hr on c2c

Key Skills Generative AI, Agentic AI, Google Cloud, AIML, Vertex AI, Python

Job description

• Design end to end GenAI Agentic AI architectures using Google Cloud AI ML GenAI and VertexAI offerings

• Extensive handson experience in implementing end to end projects utilizing GenerativeAI

• Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components

• Define and implement Generative AI Agentic AI solution patterns leveraging frameworks such as using Vertex AI LangChain etc

• Lead the integration of AI solution and GenAI functionalities with broader IT ecosystems via APIs and secure workflows

• Extensive hands on experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc

• Experience in working with structured as well as unstructured data for building RAG based solutions

• Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred GCP but other cloud experience can be considered

• Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc

• Experience with agent frameworks such as Google ADK Langgraph CrewAI etc

• Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc

• Experience with AIML deep learning TensorFlow Python NLP

• Excellent understanding of Generative AI related concepts methodologies and techniques

• Ensure system designs meet enterprise requirements for security data privacy explainability and scalability

• Develop solution blueprints and technical documentation for agentic approaches

• Guide and mentor technical teams on GenAI and agentbased architectural considerations Deployment and CICD best practices

• Good to have exposure to Hugging Face ecosystem

Experience Qualifications

• Bachelors / master’s degree in computer science Engineering or equivalent

• 12 years in software architecture AIML and with a minimum of 2 years in GenAI system design

• Demonstrable experience delivering solutions on Google Cloud AI stack

• Familiarity with multiagent systems prompt engineering and agentic orchestration tools

• Solid understanding of security compliance and explainability in AI systems

• Excellent communication and leadership skills

Droisys is an equal opportunity employer.

We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Thank you so much