Staff AI Enablement Engineer
Core
Drive AI enablement and solutions engineering across all departments, acting as the primary driver for understanding requirements, configuring tools, and building bespoke AI solutions.
Role type
Staff AI Solutions Engineer (Enablement & Solutions)
Builds
Custom AI-powered solutions, templatizable workflows, reusable playbooks, and training resources for internal teams.
Domain
Enterprise AI adoption, Generative AI, LLM integration, RAG architectures.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, LLM integration, RAG architectures, agentic workflows, prompt engineering, requirements gathering, technical enablement, cross-functional collaboration, strategic planning.
Preferred skills
Graduate degree, experience with cloud hosting platforms (AWS, GCP, Azure).
Technologies
Python, LLMs, RAG, agentic frameworks, AWS, GCP, Azure.
Responsibilities
Embed with internal teams to gather requirements and identify high-impact AI use cases; Lead office hours and hackathons to foster experimentation; Evaluate and configure AI tools and platforms; Design, develop, and deploy custom AI solutions; Create reusable playbooks, prompt libraries, and reference architectures; Architect standardized, templatizable AI workflows; Lead hands-on training sessions and workshops; Partner with cross-functional teams to integrate AI technologies; Contribute to organizational AI strategy and roadmap; Present findings and advocate for AI adoption to stakeholders.
Seniority
Staff, hands-on IC with strategic scope
