Applied Machine Learning & Data Engineering Senior Consultant II - National General
Listed on 2026-07-03
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Software Development
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer, SQL Developer
Applied Machine Learning Engineer Senior Consultant II
Key objectives:
Reduce manual mapping effort, improve data accuracy and processing efficiency, deliver scalable, maintainable AI-driven pipelines.
- Design and build AI-powered data pipelines to process and transform structured and unstructured data (PDF, Excel, CSV, etc.)
- Develop and optimize LLM-based solutions (prompt engineering, mapping, extraction, and transformation)
- Translate complex data and technical outputs into actionable insights for business stakeholders
- Partner with cross-functional teams (product, engineering, business SMEs) to define and deliver solutions
- Validate and improve solution accuracy through testing, iteration, and stakeholder feedback
- Support integration of ML/AI solutions into enterprise systems and workflows (APIs, databases, cloud platforms)
- Document solutions to ensure scalability, maintainability, and long-term adoption
- Analyze and process carrier and CMS datasets
- Build AI/ML mapping logic using LLMs and prompts
- Develop data pipelines (Python/C# data processing logic, SQL, APIs, Azure)
- Validate outputs against expected results with business stakeholders
- Troubleshoot accuracy, performance, and edge cases
- Document pipelines and ensure production-readiness
- Support integration into enterprise systems (C#, APIs, Azure)
- 40% ML/prompt and mapping logic
- 35% data engineering / pipeline implementation
- 25% stakeholder collaboration and validation
- 3+ years of related experience
- Strong proficiency in Python and SQL for data analysis and engineering
- Experience working with Generative AI / LLMs (prompt engineering, APIs, or similar)
- Hands‑on experience with data transformation, file parsing, and pipeline development
- Knowledge of Dev Ops practices (CI/CD pipelines, version control, cloud deployment)
- Familiarity with cloud platforms (preferably Azure)
- Ability to communicate effectively with both technical and non‑technical stakeholders
- Proven ability to work in ambiguous, fast‑evolving environments
- Experience with C# / .NET integration or enterprise application development
- Familiarity with LLM frameworks (Lang Chain, etc.) or document processing tools
- Knowledge of API design, JSON processing, and system integration patterns
- Background in insurance, healthcare, or other regulated industries
The base salary for this role ranges from $130,000 to $150,000 annually.
SkillsApplication Development, Artificial Intelligence Markup Language, Business Model Development, Business Process Development, Data Analytics, Data Engineering, Data Transformation, Enterprise Application, Machine Learning, Microsoft .NET, Predictive Analytics, Python, Structured Query Language (SQL)
Equal Employment OpportunityNational General Holdings Corp. is an Equal Opportunity employer – Veterans/Disabled and other protected categories. All qualified applicants will receive consideration for employment regardless of any characteristic protected by law.
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