Gen AI Cloud engineer

$221,900 - $221,900/Yr

Federal Reserve Bank - San Francisco, CA

Part-time,Full-time - Mid Level

Remote - San Francisco, CA

Monetary Authorities-Central Bank

About the position

The Federal Reserve Bank of San Francisco is seeking a Senior Data Engineer to implement data projects focused on managing, analyzing, and visualizing large datasets. The role emphasizes building scalable and secure data pipelines and utilizing advanced AI techniques to provide innovative solutions for business challenges. The position supports a flexible hybrid work model, allowing collaboration in the office and remote work.

Responsibilities

• Builds next-generation AI & analytics framework developed on a group of core technologies.
• Utilize Generative AI techniques to create innovative solutions for business challenges.
• Leverage AWS AI services like Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe to accelerate AI development and deployment.
• Lead multi-functional teams in designing and implementing cloud-based data and AI solutions.
• Ensure data pipelines are scalable, secure, and repeatable.
• Utilize AWS data services like Amazon S3, Amazon Redshift, and Amazon DynamoDB to store, manage, and process large-scale datasets.
• Collaborate with stakeholders to understand business requirements and turn data into insights.
• Develop and maintain cloud infrastructure, including data lakes, warehouses, and analytics platforms.
• Implement data governance and security best practices.
• Contribute to a DevSecOps culture by adhering to standard methodologies for secure software development and deployment.
• Automate AI model development, testing, and deployment using CI/CD pipelines.
• Acts as an inspiring leader, promoting the adoption of new software and technology across the company.
• Works on multiple projects as a technical team member driving business requirements end to end.
• Takes end to end accountability of all data products and solutions.
• Conducts training bootcamps and cross-training workshops for internal collaborators and customers.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent work experience.
• Proven experience in Generative AI, data engineering, AWS AI, and AWS data services.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with data engineering concepts and tools.
• Understanding of data governance and security principles.
• Hands-on experience with DevSecOps and CI/CD practices.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Must be a U.S. Citizen or a Green Card holder with the intent to become a U.S. Citizen.

Nice-to-haves

• Experience with specific generative AI models like Llama, Sonnet, others from HuggingFace.
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
• Contributions to open-source AI projects or communities.
• Certifications in AWS AI or machine learning.

Benefits

• Medical
• Dental
• Vision
• Pre-tax Flexible Spending Account
• Backup Childcare Program
• Pre-Tax Day Care Flexible Spending Account
• Paid Family Care Leave
• Vacation Days
• Sick Days
• Paid Holidays
• Pet Insurance
• Matching 401(k)
• Retirement/Pension