Technical Architect (Gen AI)

San R&D Business Solutions LLC

Job Location:

California, CA - USA

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

This is a senior architecture role with direct responsibility for how AI capabilities are designed integrated and deployed across the enterprise.

Responsibilities:

The GCP Vertex AI Agentspace architecture
Standards for agent development patterns grounding and memory
Integration of agents with SAP/Salesforce/ServiceNow
A2A (Agent-to-Agent) coordination and orchestration design
Context Engineering patterns for reliable grounding
Approaches for testing observability safety and control in GenAI systems
Enterprise governance LLMOps AgentOps and lifecycle management

Requirements

Educational Qualification

Bachelors or Masters degree in Computer Science Data Science Engineering or a related technical discipline.

Experience Range

14 years in AI/ML cloud platform engineering or enterprise architecture roles.

Must include:

3 years hands-on with GCP Vertex AI Vector Search
1 Year hands-on with year with Agent Development and hands-on experience with Agentspace Agent Builder Search & Conversation
Prior experience designing enterprise-grade AI GenAI or agentic systems including aspect of Agent Ops and Ob Behalf of Workflows
Exposure to multi-cloud AI environments (Azure OpenAI Copilot Studio OpenAI API)

Primary (Must-Have) Skills TA Screening Version

3 years of hands-on experience with GCP Vertex AI including real work with components such as Agentspace Agent Builder Vector Search (Matching Engine) or Search & Conversation. The candidate must be able to describe at least one actual solution built on Vertex AI.
2 years of experience building Generative AI applications such as AI assistants retrieval-based systems or LLM-powered workflows. The candidate should clearly explain what they built and what their role was.
5 years of strong Python development experience specifically building backend services APIs microservices or automation components used in production environments.
Practical integration experience with at least one enterprise platform (SAP Salesforce or ServiceNow) with the ability to describe a real integration scenario they worked on.
3 years of cloud deployment experience preferably using GCP services like Cloud Run Cloud Functions or Kubernetes for deploying and maintaining cloud-native applications.
12 years of experience operationalizing AI systems including managing prompts or models handling errors or failures monitoring performance or improving system reliability. Exposure to LLMOps or similar processes is sufficient.
Basic working knowledge of enterprise security and data protection including responsible handling of sensitive data access control and safe use of AI systems in an enterprise environment.
Strong communication skills with the ability to explain past projects clearly walk through their contributions and provide understandable examples of their AI and cloud experience.

Key Technical Skills

As a Principal AI Architect specializing in GCP Vertex AI and Agentic AI you will guide the architecture strategy and delivery of enterprise-grade AI platforms. Youll work closely with engineering platform and business teams to shape the AI roadmap design scalable agentic systems and ensure responsible adoption of Generative AI across the organization.

Required Skills:

Educational Qualification Bachelors or Masters degree in Computer Science Data Science Engineering or a related technical discipline. Experience Range 14 years in AI/ML cloud platform engineering or enterprise architecture roles. Must include: 3 years hands-on with GCP Vertex AI Vector Search 1 Year hands-on with year with Agent Development and hands-on experience with Agentspace Agent Builder Search & Conversation Prior experience designing enterprise-grade AI GenAI or agentic systems including aspect of Agent Ops and Ob Behalf of Workflows Exposure to multi-cloud AI environments (Azure OpenAI Copilot Studio OpenAI API) Primary (Must-Have) Skills TA Screening Version 3 years of hands-on experience with GCP Vertex AI including real work with components such as Agentspace Agent Builder Vector Search (Matching Engine) or Search & Conversation. The candidate must be able to describe at least one actual solution built on Vertex AI. 2 years of experience building Generative AI applications such as AI assistants retrieval-based systems or LLM-powered workflows. The candidate should clearly explain what they built and what their role was. 5 years of strong Python development experience specifically building backend services APIs microservices or automation components used in production environments. Practical integration experience with at least one enterprise platform (SAP Salesforce or ServiceNow) with the ability to describe a real integration scenario they worked on. 3 years of cloud deployment experience preferably using GCP services like Cloud Run Cloud Functions or Kubernetes for deploying and maintaining cloud-native applications. 12 years of experience operationalizing AI systems including managing prompts or models handling errors or failures monitoring performance or improving system reliability. Exposure to LLMOps or similar processes is sufficient. Basic working knowledge of enterprise security and data protection including responsible handling of sensitive data access control and safe use of AI systems in an enterprise environment. Strong communication skills with the ability to explain past projects clearly walk through their contributions and provide understandable examples of their AI and cloud experience. Key Technical Skills As a Principal AI Architect specializing in GCP Vertex AI and Agentic AI you will guide the architecture strategy and delivery of enterprise-grade AI platforms. Youll work closely with engineering platform and business teams to shape the AI roadmap design scalable agentic systems and ensure responsible adoption of Generative AI across the organization.

Required Education:

Educational Qualification Bachelors or Masters degree in Computer Science Data Science Engineering or a related technical discipline.

Job Description:This is a senior architecture role with direct responsibility for how AI capabilities are designed integrated and deployed across the enterprise.Responsibilities:The GCP Vertex AI Agentspace architectureStandards for agent development patterns grounding and memoryIntegration of agen...