Artificial Intelligence Solutions Engineer
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Job Location:
Bloomington, IN - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview
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 automationincluding 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.
Qualifications
Education and/or Work Experience Qualifications
Bachelors degree in Computer Science Engineering Mathematics or related fieldor 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/customersdriving 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
Required Experience:
IC
Key Skills
- All-Source Intelligence
- Military Intelligence
- GIS
- ICD Coding
- Intelligence Experience
- Military Experience
- Analysis Skills
- Microsoft Powerpoint
- Joint Operations
- Intelligence Analysis
- Leadership Experience
- Writing Skills
About Company
Cook Medical is a family-owned medical device company that works with physicians to develop devices that are less invasive for patients.
