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 involves defining the AI platform strategy, integrating and governing AI solutions across the enterprise, and collaborating with various stakeholders to implement standards for agent development and orchestration.
Computer Software
No H1B
Responsibilities
Define and own the end-to-end architecture for GCP Vertex AI and Agentspace implementations
Establish standards for agent development patterns, grounding strategies, memory management, and context engineering
Design integration frameworks connecting AI agents with enterprise platforms including SAP, Salesforce, and ServiceNow
Architect Agent-to-Agent coordination, orchestration, and on-behalf-of workflows
Define approaches for testing, monitoring, observability, safety, and control in Gen AI systems
Lead enterprise governance covering LLMOps, AgentOps, security, and lifecycle management
Drive cloud-native deployment using GCP services such as Cloud Run, Cloud Functions, and Kubernetes
Mentor technical teams and establish best practices for production-grade AI development
Collaborate with stakeholders to shape AI roadmap and adoption strategy
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related discipline
14+ years of experience in AI/ML, cloud engineering, platform engineering, or enterprise architecture
3+ years hands-on experience with GCP Vertex AI including Agentspace, Agent Builder, Vector Search or Matching Engine, Search & Conversation, with ability to explain real implementations
2+ years building Generative AI applications such as AI assistants, retrieval-based systems, or LLM-powered workflows
5+ years strong Python development experience building production backend services, APIs, or microservices
Practical integration experience with at least one enterprise platform – SAP, Salesforce, or ServiceNow
3+ years cloud deployment experience using GCP services such as Cloud Run, Cloud Functions, or Kubernetes
1–2 years experience operationalizing AI systems including monitoring, reliability, prompt or model management, and error handling
Working knowledge of enterprise security, access control, and responsible handling of sensitive data
Strong communication skills with ability to clearly articulate architecture decisions and past contributions
Preferred
Experience with multi-cloud AI environments such as Azure OpenAI, Copilot Studio, or OpenAI API
Background in Agent Ops, LLMOps, and governance frameworks
Experience designing enterprise-grade agentic systems at scale
Knowledge of responsible AI practices, compliance, and model risk management
Prior experience defining reference architectures and mentoring large engineering teams
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