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