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, idea submissions, 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 with off-the-shelf AI and automation tools, and knowledge of custom solutions.
• 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 translate technical ideas to non-technical audiences.
• Confidence in managing programs from discovery through rollout and iteration.
• Excitement for ambiguity, complexity, and building solutions that enhance team efficiency.
• Experience in scripting, API use, AI prompt engineering, or automation tooling.
• Experience implementing AI-powered or automated solutions that improved workflows or delivery.
• Preferred: 4-8+ years in program management, solutions engineering, internal tooling, or similar roles.
• Preferred: Familiarity with Global Services functions such as onboarding, education, or consulting.
• Preferred: Experience with site reliability practices or SRE roles.

Nice to Have

• Demonstrated technical skills in scripting, API use, AI prompt engineering, or automation tooling.
• Experience with implementing AI-powered or automated solutions that improved team workflows or customer delivery.
• Familiarity with Global Services functions — onboarding, education, or consulting.
• Experience with site reliability practices or in a Site Reliability Engineer (SRE) role.

Qualifications

• 4-8+ years of experience in program management, solutions engineering, internal tooling, or similar roles.

Benefits & Perks

• Supportive and collaborative work environment.
• Opportunities to work with emerging AI and automation technologies.
• Potential for career growth and impact within a fast-growing company.