# Gen AI Engineer

**Company**: Sedgwick
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://sedgwick.wd1.myworkdayjobs.com/en-US/Sedgwick/job/Telecommuter-TX/Data-Engineer_R75954?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_34ef90a6-277

## Description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected.

As a Gen AI Engineer within the Transformation Office, you will serve as the hands-on architect of the enterprise data supply chain for the organization's most advanced analytics, data science, and AI initiatives.

**Responsibilities:**

- Designs, builds, and maintains resilient ETL/ELT pipelines that ingest data from on-premise systems, AWS services, and Azure platforms, centralizing and curating data for consumption in Snowflake and downstream AI services.

- Develops and maintains feature stores and analytically optimized datasets that support machine learning workflows, ensuring data is clean, versioned, reproducible, and statistically valid for Data Science teams.

- Engineers data pipelines that enable generative AI use cases, including the automated extraction, transformation, chunking, and loading of structured and unstructured data into vector databases across AWS and Azure environments.

- Acts as a Snowflake power user and technical lead, implementing advanced data modeling patterns, Snowpipe automation, and compute and storage optimization to support high-concurrency analytics and AI workloads.

- Executes non-invasive data extraction strategies to unlock mission-critical data from decades-old legacy systems while preserving system stability and avoiding disruption to core business operations.

- Designs and manages complex, cross-platform data workflows using orchestration tools such as Airflow, AWS Step Functions, and Azure Data Factory to ensure reliable, synchronized data movement across the organization's multi-cloud architecture.

- Partners closely with central IT, database administrators, infrastructure, and security teams to resolve connectivity and access challenges while securing production approval for new data integrations.

- Implements automated data quality, validation, and observability frameworks to detect data drift, anomalies, and integrity issues that could negatively impact production analytics, machine learning, or AI systems.

- Drives efficiency across the data ecosystem by optimizing storage, compute usage, and query performance in Snowflake, AWS, and Azure, ensuring responsible cost management and measurable ROI for Transformation Office initiatives.

- Operates as a dedicated engineering partner to MLOps, Data Science, and AI teams, rapidly iterating on evolving data requirements and translating experimental use cases into scalable, production-ready data solutions.

**Qualifications:**

- Master's degree in Computer Science, Data Engineering, or a related field from an accredited college or university preferred.

- Six (6) years of hands-on data engineering experience, with a track record of building production-grade pipelines for Data Science and AI in multi-cloud environments or equivalent combination of education and experience required.

- Expert-level proficiency in Snowflake architecture, including data sharing, performance tuning, and the integration of Snowflake with external cloud AI services.

- Advanced, hands-on knowledge of AWS and Azure data services.

- Mastery of Python, SQL, and PySpark. Deep experience with data orchestration and containerization.

- Proven ability to interface with old-world tech and transform it for modern cloud consumption.

- A strong understanding of the specific data needs for Machine Learning and Generative AI.

- A get-it-done attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office.

- Ability to work in a team environment.

- Ability to meet or exceed Performance Competencies.

## Skills

### Required
- Snowflake
- AWS
- Azure
- Python
- SQL
- PySpark
- Data Engineering
- Machine Learning
- Generative AI

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Source: [Apply at sedgwick.wd1.myworkdayjobs.com](https://sedgwick.wd1.myworkdayjobs.com/en-US/Sedgwick/job/Telecommuter-TX/Data-Engineer_R75954?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)