GenAI Technical Solutions Architect

GenAI Technical Solutions Architect

Client: Apple

Location: Cupertino/SCV

Rate: DOE

Title: GenAI Technical Solutions Architect

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 is it 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