AI Solution Engineer

🔥 17 hours ago

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Cayuse

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

📋 Compliance

⚡ Productivity

SaaS • Compliance • Productivity

Cayuse is a leading provider of research administration software, catering to over 670 top global research organizations. Their connected cloud platform aims to modernize research administration by addressing various administrative challenges, enhancing risk management, resource management, and security in research settings. Cayuse's software solutions are designed to minimize risk, maximize efficiency, and optimize planning for data-driven organizations, serving administrators, researchers, and leadership teams. Their solutions include tools for fund management, ethics and oversight compliance, hazard safety, and training records, making it easy to manage billions in research funds.

📋 Description

• Conduct structured assessments across business units to identify manual, repetitive, or data-intensive workflows where AI can deliver measurable time and cost savings. • Architect and build AI-powered solutions — including LLM integrations, intelligent automation, and ML-assisted workflows — from concept through production. • Act as the technical bridge between business stakeholders, product management, and engineering teams. • Own end-to-end delivery of AI solutions, including integration with existing systems, API design, prompt engineering, evaluation frameworks, and monitoring. • Develop internal tooling, documentation, and training to help non-technical teams adopt AI tools effectively. • Define and enforce standards for responsible AI deployment, including data privacy, bias mitigation, auditability, and compliance.

🎯 Requirements

• 5+ years of professional experience in software engineering, data science, or a related technical discipline with a track record of shipping production systems. • 2+ years of hands-on experience designing and deploying AI/ML solutions, including LLM-based applications, intelligent automation, or ML-assisted workflows. • Demonstrated experience conducting process or workflow assessments to identify automation or AI opportunities across business functions. • BS/MS in Computer Science, Engineering, Mathematics, or equivalent practical experience. • Hands-on experience with LLM APIs (e.g., Claude, OpenAI, Gemini), prompt engineering, RAG architectures, and agent frameworks (e.g., LangChain, LlamaIndex). • Proficiency with AWS or equivalent cloud platforms, including serverless architectures, managed AI/ML services (e.g., SageMaker, Bedrock), and Infrastructure as Code. • Strong proficiency in Python and/or Java; experience building APIs, data pipelines, and integrating AI components into existing software systems. • Experience with SQL and NoSQL databases, data wrangling, and building evaluation frameworks to measure AI solution performance. • Proven ability to engage business stakeholders to surface workflow inefficiencies and translate them into scoped, deliverable AI initiatives. • Strong written and verbal communication skills; able to present technical solutions and ROI narratives to executive, product, and engineering audiences. • A pragmatic, outcome-oriented mindset — comfortable navigating ambiguity and scoping solutions that balance innovation with practical constraints. • Commitment to responsible AI principles: fairness, transparency, privacy, and auditability in all deployed solutions.

🏖️ Benefits

• Competitive Medical Benefits (PPO + HSA available) • Vision, Dental, Short-Term Disability fully covered by Cayuse • Unlimited PTO + Holidays + Flexible Work Schedule • Remote Work Stipend • Equal Paid Parental Leave • 401k with Employer Matching • Quarterly Wellness Reimbursement • Remote Work Environment, supporting the Ultimate Employee Experience