AI Solutions Engineers turn ambiguous, high-value business problems into production-grade AI systems. This role covers the full lifecycle— blends of data science, data/ML engineering, and application development to deliver tools across the global enterprise. This position requires close collaboration with both technical and non-technical partners.
Responsibilities• Own discovery and delivery. Partner with internal and customer stakeholders to define problems, success metrics, and delivery plans; iterate rapidly based on user feedback.• Build production AI applications. Design and implement solutions such as LLM assistants, retrieval-augmented generation (RAG) systems, and intelligent automation—including prompt design, evaluation frameworks, guardrails, and human-in-the-loop workflows.• Make data usable. Develop pipelines and integrations across enterprise systems (APIs, databases, event streams); perform modeling, quality checks, lineage, and governance to enable AI at scale.• Ship full-stack software. Implement reliable backend services (Python/Java/Node/C++ or similar) and practical user interfaces (TypeScript/React) that solve real user problems.• Operate in the cloud. Deploy and run services on AWS/Azure/GCP with containers/orchestration (Docker/Kubernetes), CI/CD, secrets management, monitoring, and observability.• Integrate with enterprise platforms. Connect securely to internal platforms and data sources to accelerate delivery and measurable outcomes for frontline teams.• Engineer for safety and trust. Apply secure-by-design practices: data privacy, access controls, model/feature monitoring, bias and risk assessment, incident response, and auditability for ML/LLM systems.• Measure impact and drive adoption. Instrument products, track adoption/quality/ROI, document decisions, and lead change management through demos, training, and clear communication.• Lead with ownership. Work in small, agile teams; communicate effectively with executives, domain experts, and engineers; take responsibility for high-impact projects.
QualificationsEducation and/or Work Experience Qualifications• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field—or equivalent practical experience with strong software engineering fundamentals.• 3+ years building production software or data/ML systems (e.g., full-stack, data engineering, MLOps, or platform engineering).
Knowledge, Skills, and Abilities• Proficiency in at least two of: Python, Java, C++, Go, TypeScript/JavaScript; familiarity with testing, code review, and CI/CD.• Hands-on experience with one or more of: LLM application patterns (including RAG), vector databases, model evaluation/monitoring, and deployment of AI systems to production.• Direct experience working with end users/customers—driving discovery, scoping MVPs, presenting to leaders, and iterating in fast feedback loops.
Preferred Qualifications:• Background integrating with enterprise data/AI platforms and operational domains where AI augments frontline workflows.• Experience defining product and business health metrics and communicating trade-offs to technical and non-technical audiences.• Familiarity with regulated environments (e.g., healthcare, life sciences) is a plus.
Physical Requirements• Works under general office environmental conditions• Some travel may be required (e.g., for team-on-sites, professional development, or deployment support)• Personal protective equipment including safety glasses, lab coat and gloves required in many areas associated with this position
Top Skills
What We Do
At Cook, we are building our future on Invention, Connection, People, and Community.
As a privately owned company, we can look at the world our own way and do what we feel passionate about. What are we passionate about? That’s simple: Making unique, quality products and connecting with people to improve lives on both sides of the device.
Central to our focus on building deep connections is our belief in the importance of identifying innovative solutions to help customers, patients, employees, and communities thrive. We understand that our ongoing success will come from creating inclusive, supportive, and healthy environments where we can prosper together. Our people are our greatest asset and are at the heart of everything we do. Come build with us.
