SAN R&D Business Solutions · 2 days ago
Technical Architect (Gen AI)
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
14+ years expSAN R&D Business Solutions is seeking a Technical Architect specializing in Generative AI. This senior architecture role is responsible for designing, integrating, and deploying AI capabilities across the enterprise, with a focus on GCP Vertex AI and agentic systems.
Computer Software
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
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical discipline
14+ years in AI/ML, cloud, platform engineering, or enterprise architecture roles
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)
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
1–2 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
Company
SAN R&D Business Solutions
Empowering Ideas, Delivering Excellence!! SAN R&D a next-generation R&D, IT Services and Technology solution provider company that helps enterprises reimagine their business and navigate their digital transformation.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase