Staff Applied AI Engineer
Core
Primary driver of AI enablement and solutions engineering across all departments, configuring tools, building bespoke solutions, and teaching teams to adopt AI.
Role type
Staff AI Solutions Engineer
Builds
Custom AI-powered solutions, templatizable workflows, reusable playbooks, prompt libraries, and reference architectures.
Domain
Enterprise AI adoption, Generative AI, LLM integration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Requirements gathering from non-technical stakeholders, AI tool configuration and evaluation, LLM and RAG architecture design, agentic workflow development, Python programming, cloud platform integration (AWS/GCP/Azure), hands-on training and workshop facilitation, strategic roadmapping
Preferred skills
Graduate degree in Computer Science, experience with prompt engineering, track record of deploying productivity-enhancing solutions
Technologies
Python, LLMs, RAG, agentic frameworks, AWS, GCP, Azure
Responsibilities
Embed with internal teams to identify high-impact AI use cases and translate business needs into technical solutions; Lead office hours and hackathons to foster experimentation and knowledge sharing; Evaluate and recommend AI tools and platforms; Design, develop, and deploy custom AI solutions; Create reusable resources like playbooks and prompt libraries; Architect standardized, templatizable AI workflows; Conduct hands-on training sessions to build organizational AI fluency; Contribute to organizational AI strategy and roadmap; Present findings and advocate for AI adoption to stakeholders.
Seniority
Staff, hands-on IC with strategic scope
