AI Systems & Solutions Architect, Global Services

About the Role

Key Responsibilities

• Partner with Services leaders to identify high impact areas that could benefit from AI or automation.
• Prioritize opportunities based on efficiency gains and impact.
• Translate ambiguous ideas into clear program roadmaps with defined outcomes and milestones.
• Prototype and maintain lightweight AI tools—such as GPT-powered assistants, agents, and automations—integrated into team workflows using platforms like Streamlit or Supabase.
• Build internal tools using Python frameworks like Streamlit or Flask, and support more robust solutions using full-stack technologies like JavaScript, TypeScript, Node.js, FastAPI, and GraphQL.
• Use tools like Python, Zapier, Notion AI, and APIs to build and connect systems—or collaborate with technical teams when needed.
• Design systems that can scale—supporting real-time tools, user sessions, and interactivity at scale.
• Incorporate effective QA, observability, and performance monitoring practices to ensure stability in production environments.
• Validate prototypes through usage data and feedback, then lead the productization and scaling of successful solutions.
• Work with SQL and NoSQL databases for large-scale internal data operations.
• Develop clear documentation, onboarding guides, and training to ensure successful adoption of tools.
• Help develop intake systems for stakeholder support requests, ideas, and progress tracking.
• Lead enablement sessions and workshops to grow AI fluency across the Services org.
• Stay current on generative AI and automation trends and assess relevance for Global Services.

Requirements

• A systems thinker and builder with a strong technical foundation.
• Experience in rapid prototyping and taking MVPs to scalable, maintainable solutions.
• Proficiency in or experience with full-stack development.
• Clear communication skills and ability to collaborate cross-functionally.
• Confidence in managing programs from discovery through rollout and iteration.
• Excitement by ambiguity, complexity, and building solutions that improve team efficiency.
• Experience with scripting, API use, AI prompt engineering, or automation tooling.
• Experience implementing AI-powered or automated solutions that improved workflows or delivery.
• Demonstrated technical skills in areas like scripting, API use, AI prompt engineering, or automation tooling.
• Experience with site reliability practices or in a Site Reliability Engineer (SRE) role is a plus.
• 4-8+ years of experience in program management, solutions engineering, internal tooling, or similar roles.

Nice to Have

• Familiarity with Global Services functions — onboarding, education, or consulting.
• Past experience in a Site Reliability Engineer (SRE) role or similar.
• Experience with real-time tools, user sessions, and interactivity at scale.

Qualifications

• 4-8+ years of experience in relevant roles.
• Demonstrated skills in scripting, API use, AI prompt engineering, or automation tooling.

Benefits & Perks

• Supportive and collaborative work environment.
• Opportunities to work with emerging AI technologies.
• Focus on professional growth and impact.