Artificial Intelligence Solutions Engineer

Cook Medical Holdings is hiring an Artificial Intelligence Solutions Engineer to turn high-value business problems into production-grade AI systems. The role spans AI application development, data and ML engineering, full-stack software, cloud operations, and collaboration with stakeholders to deliver, monitor, and drive adoption of AI solutions.

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

Preferred

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

Enterprise Data Platform Integration

AI Platform Integration

AI-Augmented Workflow Design

Product Health Metrics

Business Health Metrics

Regulated Environment Experience

Healthcare Industry Knowledge

Life Sciences Industry Knowledge

Cross-Functional Communication

Trade-Off Communication

Benefits

Remote work

Company

Minimally invasive medical device company for healthcare systems

Bloomington, Indiana, USA

http://www.cookmedical.com/

Founded in 1963

10001+ employees

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)

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

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

3+ years building production software or data/ML systems (e.g., full-stack, data engineering, MLOps, or platform engineering).

Required skills

Python, Java, C++, Go, TypeScript, JavaScript, LLM Application Development, Retrieval-Augmented Generation (RAG), Vector Databases, Model Evaluation and Monitoring, AI Deployment, CI/CD, Customer Discovery, Product and Business Metrics, Healthcare and Life Sciences

Experience

3+ years