Note: The job is a remote job and is open to candidates in USA. Cayuse is committed to empowering organizations to conduct globally connected research. As an AI Solution Engineer, you will partner with business leaders and product teams to identify and implement AI solutions that drive efficiency across the organization.
Responsibilities
- Conduct structured assessments across business units to identify manual, repetitive, or data-intensive workflows where AI can deliver measurable time and cost savings. Translate operational pain points into prioritized opportunity backlogs with clear ROI framing
- Architect and build AI-powered solutions — including LLM integrations, intelligent automation, and ML-assisted workflows — from concept through production. Develop rapid prototypes to validate feasibility and demonstrate value before full-scale investment
- Act as the technical bridge between business stakeholders, product management, and engineering teams. Translate ambiguous business requirements into concrete AI solution designs and communicate tradeoffs clearly to both technical and non-technical audiences
- Own end-to-end delivery of AI solutions, including integration with existing systems, API design, prompt engineering, evaluation frameworks, and monitoring. Ensure solutions meet reliability, security, and scalability standards
- Develop internal tooling, documentation, and training to help non-technical teams adopt AI tools effectively. Champion AI literacy across the organization and establish best practices for responsible, effective AI use
- Define and enforce standards for responsible AI deployment, including data privacy, bias mitigation, auditability, and compliance. Ensure all solutions align with organizational and regulatory requirements
Skills
- 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
Company Overview