GenAI Technical Solution Architect

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