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Remote, Oregon, United States
Remote only
National General is a part of The Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We offer home, auto and accident and health insurance, as well as other specialty niche insurance products, through a large network of independent insurance agents, as well as directly to consumers.
Job Description
Business Title: Applied Machine Learning Engineer Senior Consultant II
About the Role
This role supports high-impact AI and data automation initiatives focused on improving data ingestion, transformation, and mapping processes across the organization. This position is responsible for advancing AI-assisted data mapping capabilities to reduce manual effort, enhance accuracy, and deliver scalable, maintainable solutions for development teams.
Initial responsibilities include building and optimizing intelligent import tools that leverage AI/ML techniques to parse, normalize, and validate structured and unstructured data from various sources. Core deliverables involve developing mapping logic, identifying data discrepancies, creating standardized ingestion templates, and producing load-ready outputs for downstream systems. The role also contributes to analytics and dashboarding efforts while supporting source-specific data rules and configurations.
Over time, the scope will expand to broader AI, data-layer, and automation initiatives aligned with evolving business priorities, with a strong emphasis on delivering solutions that improve operational efficiency and overall data quality in high-visibility workflows.
Key objectives: Reduce manual mapping effort, improve data accuracy and processing efficiency, deliver scalable, maintainable AI-driven pipelines
What You’ll Do
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
How your day to day looks:
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)
Work Mix (exact mix will shift by project phase)
40% ML/prompt and mapping logic
35% data engineering / pipeline implementation
25% stakeholder collaboration and validation
Required Qualifications
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 DevOps 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
Preferred Qualifications
Experience with C# / .NET integration or enterprise application development
Familiarity with LLM frameworks (LangChain, etc.) or document processing tools
Knowledge of API design, JSON processing, and system integration patterns
Background in insurance, healthcare, or other regulated industries
Compensation:
The base salary for this role ranges from $130,000 to $150,000 annually. Please disregard the broader compensation range listed below, as it reflects the full job family compensation range, rather than this specific position.
Skills
Application Development, Artificial Intelligence Markup Language, Business Model Development, Business Process Development, Data Analytics, Data Engineering, Data Transformation, Enterprise Application, Machine Learning (ML), Microsoft .NET, Predictive Analytics, Python (Programming Language), Structured Query Language (SQL)
Compensation
Compensation offered for this role is 120,000.00 - 193,725.00 annually and is based on experience and qualifications.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
National General Holdings Corp., a member of the Allstate family of companies, is headquartered in New York City. National General traces its roots to 1939, has a financial strength rating of A– (excellent) from A.M. Best, and provides personal and commercial automobile, homeowners, umbrella, recreational vehicle, motorcycle, supplemental health, and other niche insurance products. We are a specialty personal lines insurance holding company. Through our subsidiaries, we provide a variety of insurance products, including personal and commercial automobile, homeowners, umbrella, recreational vehicle, supplemental health, lender-placed and other niche insurance products.
Companies & Partners
Direct General Auto & Life, Personal Express Insurance, Century-National Insurance, ABC Insurance Agencies, NatGen Preferred, NatGen Premier, Seattle Specialty, National General Lender Services, ARS, RAC Insurance Partners, Mountain Valley Indemnity, New Jersey Skylands, Adirondack Insurance Exchange, VelaPoint, Quotit, HealthCompare, AHCP, NHIC, Healthcare Solutions Team, North Star Marketing, Euro Accident.
Benefits
National General Holdings Corp. is an Equal Opportunity (EO) employer – Veterans/Disabled and other protected categories. All qualified applicants will receive consideration for employment regardless of any characteristic protected by law. Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas. In the event you need assistance or accommodation in completing your online application, please contact NGIC main office by phone at (336) 435-2000.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.