GenAI Technical Solutions Architect

Role: GenAI Technical Solutions Architect

Mode: Hybrid (3 days / week)

Duration : Fulltime

Visas: USC/EAD EAD

Relocation: Acceptable 

Location: Cupertino, CA

Job Description:

You will build and scale AI-powered solutions across Sales BPR. You turn designed workflows

into working solutions — leveraging existing enterprise tools, MCPs, APIs, and AI platforms to assemble and configure what the team needs. You code when

needed, but your primary value is knowing what''s available and wiring it together effectively.

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

Primary skills-

Key Qualifications
 5+ years in a technical role — solutions engineering, technical consulting, or systems integration
 Proficient in Python and/or TypeScript — can write scripts, automations, and integration code
 Hands-on experience with LLMs and AI tools (Claude, ChatGPT, etc.) — prompting, API usage, building AI-powered     workflows
 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