Senior/Staff AI Enablement Engineer

Join Sprinter as a Senior/Staff AI Enablement Engineer, where you'll help every team build, adopt, and safely scale AI-powered workflows. This hands-on role involves working across various teams to identify high-leverage opportunities for AI and turning them into practical systems. You'll create reusable templates, internal tools, and automations, while also helping teams adopt AI coding assistants and workflows. The ideal candidate is a builder, teacher, and systems thinker with experience in production-quality software development and AI adoption.

• Contribuer à la stratégie d'habilitation à l'IA de l'entreprise en travaillant avec différentes équipes pour identifier les opportunités d'utilisation de l'IA.
• Construire des agents sur mesure, des flux de travail internes, des outils internes et des automatisations qui résolvent des problèmes opérationnels, cliniques et d'ingénierie réels.
• Évaluer, configurer et recommander des outils d'IA, en prenant des décisions pratiques sur la construction ou l'achat en fonction des besoins de l'équipe.
• The ideal candidate is a builder, teacher, and systems thinker who measures success by what the whole organization can now do because of the tools, patterns, and examples you created
• Communicated technical concepts clearly to audiences ranging from engineers to executives
• Designed practical evaluations, benchmarks, or QA processes for AI workflows or software systems
• Operated in fast-moving, ambiguous environments where the path was not already defined
• Built production-quality software in Python, TypeScript, or similar languages
• Enabled teams through documentation, training, office hours, workshops, hackathons, or reusable templates
• Gathered requirements from non-technical stakeholders and translated them into scoped, working technical solutions
• Made practical tradeoffs between speed, safety, usability, maintainability, and cost
• Worked with CI/CD, testing, deployment pipelines, or production release processes
• Built internal tools, automations, workflows, developer productivity tooling, AI-enabled applications, or agentic systems
• Used AI coding assistants such as Claude Code, Cursor, or similar tools as part of your day-to-day development workflow
• Worked hands-on with LLMs, AI assistants, agents, tool calling, structured outputs, RAG, or other applied AI patterns
• What you have done:
• What gives you an edge
• You have operated at Senior, Staff, or equivalent scope, driving technical decisions across multiple teams
• You’ve built internal AI platforms, agent frameworks, evaluation systems, workflow automation platforms, or developer productivity tooling
• You’ve helped a company or team adopt AI tools in a measurable, repeatable way
• You have experience standing up a centralized prompt library, skill library, workflow library, or knowledge/context hub
• You’ve worked with MCP servers, internal tool integrations, RAG systems, or AI agents connected to real business systems
• You have experience with healthcare data, PHI, HIPAA-aware workflows, or regulated environments
• You’ve partnered with security, IT, legal, compliance, or clinical teams to approve and deploy AI tools safely
• You have a public or internal track record of teaching, writing, workshops, talks, or training that made complex technical ideas accessible
• You’ve worked in a startup or high-growth environment where enablement, velocity, and practical judgment mattered