Job Description

Job Title: GenAI Technical Solutions Architect Location: Cupertino/Sunnyvale, CA (Onsite) Duration: 6-12+ Months Contract ** W2-Visa-independent candidates required **

Job Summary: What You'll Do

• Build & Prototype - Assemble AI-powered workflows using existing enterprise tools, MCPs, and APIs
• Write scripts, automations, and glue code to connect systems and fill gaps
• Prototype rapidly - get a working version in front of users fast, then iterate
• Evaluate & Advise - Assess technical feasibility of proposed AI use cases - what's possible with existing tools, what needs IS&T involvement
• Evaluate new tools and capabilities as they become available - it's relevant, is it approved, how does it fit?
• Know when to build vs. when to escalate to IS&T for platform-level support
• Integrate & Scale - Turn one-off prompt solutions into reusable, maintained tools
• Build and maintain the process repository as a living product
• Configure and connect AI solutions to existing BPR and Sales systems
• Ensure solutions are reliable and handle edge cases
• Stay current on the enterprise AI landscape - what IS&T ships, what MCPs are available, what's newly approved

Key Qualifications

• 5+ years in a technical role - solutions engineering, technical consulting, or systems integration
• Strong understanding of full-stack architecture - frontend, backend, APIs, databases. You know how applications are structured and how the pieces connect.
• Proficient with React, TypeScript, Python, and/or Node.js - you can read, debug, and modify code confidently
• Effective AI-native builder - you use LLMs (Claude, Copilot, etc.) to write code, and you know how to prompt, evaluate output, and iterate until it's right
• Experience integrating with LLMs/AI in applications - API calls, handling responses, building AI-powered features
• UX sensibility - you build things that look and feel good, not just things that work
• Self-directed problem solver - given an unfamiliar infrastructure, you figure it out
• Strong understanding of APIs, data flows, and how enterprise systems connect
• Able to navigate and leverage existing platforms - MCPs, enterprise AI tools, internal tooling - without needing to build them from scratch
• Can translate between technical and business audiences
• Strong prototyping mindset - ship fast, iterate, don't over-engineer
• Self-directed and comfortable with ambiguity

Preferred

• Experience assembling solutions in large enterprise environments with existing tool ecosystems
• Familiarity with data analysis tools (SQL, DuckDB, pandas) for workflow automation
• Background in Sales Operations, CRM, or enterprise business systems

For applications and inquiries, contact: hirings@openkyber.com

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