AI Solution Engineer

The exciting world of scientific research is fueled by people with a passion for solving complex problems. At Cayuse, we are committed to our customers’ success by empowering organizations to conduct globally connected research that advances their impact on science, discovery and society. We build on that commitment with proven, integrated and easy-to-use technology that delivers exceptional value, and world class service and support that accelerates outcomes.

But we are more than just an empowering platform powered by advanced technologies. We are a collaboration of exceptional, highly skilled people with multi-disciplinary expertise, and are building our team to support our ambitious growth plans. Cayuse’s foundational strength comes from our customer and employee focused values and commitment to industry-leading solutions. It’s an exciting time to become a key member of our growing team.

Join our remote first culture as an AI Solution Engineer, a consultative, hands-on role focused on identifying where AI can create real operational value and driving those improvements from discovery through delivery. You will work closely with business leaders and teams across the organization to understand how work gets done, where friction exists, and how AI-assisted tools and process redesign can remove it. This is not a data science or ML engineering role. It is a technical consulting and delivery role that demands sharp business acumen, strong communication skills, and the engineering ability to build and integrate practical AI-powered solutions.

Responsibilities

As an AI Solution Engineer, you will lead the full cycle of AI-driven improvement — from surfacing opportunities to delivering working solutions. Your success is measured by business impact, stakeholder adoption, and the quality of change you drive.

• Efficiency Discovery & Process Assessment: Conduct structured discovery sessions with business units to map workflows, identify manual or repetitive processes, and surface opportunities where AI tools can meaningfully reduce time, cost, or error rates. Build and maintain a prioritized opportunity backlog with clear business cases and effort estimates.
• Stakeholder Engagement & Requirements Gathering: Build trusted relationships across functions — operations, finance, product, support, and others — to understand their day-to-day challenges and long-term goals. Facilitate workshops, interviews, and process walkthroughs to extract requirements and align on success criteria before any build begins.
• Solution Design & Technical Delivery: Translate business requirements into clear, scoped technical designs. Build and integrate AI-assisted solutions using existing platforms, APIs, and tools — working within established software systems rather than building ML models from scratch. Own the solution from design through deployment and handoff.
• Process Improvement & Change Management: Go beyond tooling — redesign the underlying processes that AI solutions will support. Identify upstream and downstream dependencies, document new workflows, and work with teams to ensure changes are adopted effectively. Track and report on efficiency gains post-implementation.
• Communication & Executive Reporting: Translate complex technical work into plain-language summaries, business cases, and executive presentations. Regularly communicate progress, tradeoffs, and outcomes to leadership. Be the person in the room who can bridge technical and non-technical perspectives without losing either audience.
• Internal AI Enablement: Help teams across the organization develop the confidence and capability to use AI tools effectively. Create guidance, playbooks, and lightweight training that reduce dependency on specialist support and build durable internal knowledge.
• Governance & Responsible Use: Ensure all solutions are deployed responsibly — with appropriate attention to data privacy, access controls, auditability, and alignment with company policy. Flag risks early and work with legal, security, and compliance stakeholders as needed.

Qualifications

Core Experience

• 5+ years of experience in a technical consulting, solutions engineering, or software development role with a track record of delivering measurable business improvements.
• Demonstrated experience conducting process assessments or workflow analysis across business functions — identifying inefficiencies and owning the improvement roadmap.
• Experience working directly with non-technical stakeholders to gather requirements, facilitate discovery, and communicate technical solutions clearly.
• BS/MS in Computer Science, Engineering, Business, or equivalent practical experience.

Technical Skills

• Software Development: Proficient in one or more general-purpose languages (Python preferred; Java, JavaScript, or similar also valued). Comfortable building integrations, automating workflows, and working within existing software systems.
• AI Tool Integration: Experience integrating AI-assisted capabilities into business workflows using available APIs and platforms - ML model development not required. Familiarity with tools like Claude, Copilot, or similar AI productivity platforms is a plus.
• Cloud & Infrastructure: Working knowledge of cloud platforms (AWS preferred) including managed services, API connectivity, and basic DevOps practices.
• Data Fluency: Comfortable working with structured data, SQL queries, and business reporting tools to identify patterns, measure baselines, and quantify impact.

Leadership & Communication

• Exceptional communicator — able to run productive discovery sessions, write clear documentation, and present recommendations confidently to executive audiences.
• Strong problem-solving instincts: you break ambiguous situations into structured approaches and drive toward clear, actionable outcomes.
• Collaborative and adaptable — equally effective working independently in a remote-first environment and coordinating across offshore, nearshore, and onshore teams.
• Outcome-oriented with a bias for action: you prioritize solutions that can be delivered and adopted, not theoretically optimal ones.
• Genuine curiosity about how AI tools are reshaping the way knowledge work gets done, paired with practical judgment about where they add real value.

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

Cayuse does not accept agency resumes. Please do not forward resumes to our jobs alias or any Cayuse employees. Cayuse is not responsible for any fees related to unsolicited resumes.

Our culture is one of inclusion and belonging where everyone feels respected, treated justly, supported and nourished. We all share responsibility for creating and sustaining a work environment where differences are celebrated and we are empowered to strive for excellence. We’re proud to be an equal opportunity employer and actively seek to recruit, develop, and retain a diverse and talented workforce.

Originally posted on Himalayas