Senior Generative AI Data Engineer

Key Skills

Aartificial intelligence, Agile methodologies, Amazon Athena, Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), AWS, AWS Glue, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data Engineering, Data science techniques, ETL frameworks, Generative AI, Java Programming, Lambda, Python Programming, Scala Programming, SQL

Job Description

What you will do

Let’s do this. Let’s change the world. In this vital role you will will work with our Research and Development (R&D) Digital Technology and Innovation (DTI) group supporting R&D’s Global Regulatory Affairs & Strategy (GRAAS) function in alignment with our business and DTI strategy. As a Senior Generative AI Data Engineer, you will be responsible for managing and optimizing the company's data infrastructure and architecture, designing and implementing data pipelines, developing data models, performing data integration, and ensuring data quality and governance for GenAI solutions.

You will be an integral member of a newly formed Agile Product Team that will own Amgen's Structured Content Authoring solution, enabling R&D to redefine common technical document (CTD) authoring and the overall submission processes. You will be collaborating closely with a multi-functional group of stakeholders, data scientists, data engineers, GenAI, and ML engineers to revolutionize the common technical document and overall submission processes.

Key Responsibilities:

• Work with the Agile Team, Product Owner, Release Train Engineer, and Scrum master to plan and execute work.

• Work with Connected Data Architects to refine and optimize the technical environment for reuse, agility, and performance.

• Ensure that the data requirements for applications, data scientists, and cross-functional use cases are met.

• Ensure that performance and reliability of the solutions are high, and the GenAI contents are demonstrably accurate.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 3 years of information systems experience

Or

Bachelor’s degree and 5 years of information systems experience

Or

Associate’s degree and 10 years of information systems experience

Or

High school diploma / GED and 12 years of information systems experience

Preferred Qualifications:

• 3+ years of experience in semantic data layers or data lake architectures

• 3+ years of experience with one or more programming languages, such as Python, Scala, or Java.

• 5+ Experience architecting and building ELT pipelines; Hands-on experience with SQL

• Experience with Semantic Layer technologies such as RDF triplestores or graphs

• Experience with data modeling, performance tuning, and relational and graph databases.

• Hands-on development experience with Databricks and columnar data

• Hands-on development experience with templating and transform frameworks, such as XSLT, Jinja, Mustache, or CSS

• Experience with Software engineering best-practices, including but not limited to version control, CI/CD, and automated testing

• Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc.)

• Familiarity with Veeva or other Regulatory platforms in BioPharma

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.

• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

• Stock-based long-term incentives

• Award-winning time-off plans and bi-annual company-wide shutdowns

• Flexible work models, including remote work arrangements, where possible