AI Solutions Engineer (GenAI & MLOps)

Job Responsibilities:

• Assess use – case feasibility, define data requirements, establish KPI and agree measurable model and workflow acceptance criteria.
• Develop GenAI copilots, retrieval – augmented generation, document intelligence, predictive analytics, anomaly detection, and decision support.
• Build prompts retrieval pipelines, evaluation datasets, model services and integrations using governed enterprise data and APLs.
• Implement MLOps/LLOps covering source control, automated testing, deployment, monitoring, versioning, logging, and incident response.
• Embed human approval, source citation, access control, customer/IP segregation, privacy and responsible – AI safeguards.
• Support pilots, user training, production monitoring and reusable solution patterns for deployment across the C – Hawk network.

Job Requirements:

• Degree in Computer science, software engineering, data science, AI or a related discipline.
• 3 – 7 years shipping maintainable production AI or digital solutions.
• Strong Phyton, SQL, ML frameworks; practical GenAI, RAG, vector search, evaluation and MLOps experience.
• Experience with manufacturing, Epicor/ERP data, Azure/cloud services or quality – system validation is advantageous.
• Evidence of production ownership, monitoring and support, able to travel to C – Hawk sites for deployments.