AI Architect
Role: AI Architect
Location: Los Angeles California (Hybrid)
Contract
Mandatory Skills: AI Architect GCP Vertex AI
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 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
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