AI Architect with VertexAI

Los Angeles, CA - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

Design endtoend GenAIAgentic 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 handson 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 or masters 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

Job Description: Design endtoend GenAIAgentic 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 ...

Job Description:

Design endtoend GenAIAgentic 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 handson 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 or masters 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