Federal Reserve Bank of San Francisco
Sr./Lead Gen AI Cloud engineer
Federal Reserve Bank of San Francisco, Salt Lake City, Utah, United States, 84193
CompanyFederal Reserve Bank of San Francisco We are the Federal Reserve Bank of San Francisco-public servants with a mission to advance the nation's monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. We respect people for what they do and for who they are. We build opportunities to learn and grow.
The ideal candidate will know how to implement data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms. Ensures that data pipelines are scalable, repeatable, and secure -- as well as able to serve multiple users.
We empower our people to balance their life and work responsibilities. That's why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.
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.
AWS AI Services: 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.
AWS Data Services: 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.
DevSecOps: Contribute to a DevSecOps culture by adhering to standard methodologies for secure software development and deployment.
CI/CD: Automate AI model development, testing, and deployment using CI/CD pipelines.
Acts as an inspiring leader, with an outstanding perspective, and promotes 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.
Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent work experience
Typically requires 5 or more years of 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
Desired Skills:
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
Base Salary Range Sr. AI Engineer: Min: $154,200 - Mid: $200,200 - Max: $246,300 (Location: San Francisco) Final salary and offer will be determined by the applicant's background, experience, skills, internal equity, and alignment with geographic and other market data. We offer a wonderful benefits package including: 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), and Retirement/Pension. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. The SF Fed is an Equal Opportunity Employer. #LI-Hybrid Full Time / Part TimeFull time Regular / TemporaryRegular Job Exempt (Yes / No)Yes Job CategoryAnalytical Work ShiftFirst (United States of America)
The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels. Privacy Notice
The ideal candidate will know how to implement data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms. Ensures that data pipelines are scalable, repeatable, and secure -- as well as able to serve multiple users.
We empower our people to balance their life and work responsibilities. That's why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.
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.
AWS AI Services: 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.
AWS Data Services: 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.
DevSecOps: Contribute to a DevSecOps culture by adhering to standard methodologies for secure software development and deployment.
CI/CD: Automate AI model development, testing, and deployment using CI/CD pipelines.
Acts as an inspiring leader, with an outstanding perspective, and promotes 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.
Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent work experience
Typically requires 5 or more years of 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
Desired Skills:
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
Base Salary Range Sr. AI Engineer: Min: $154,200 - Mid: $200,200 - Max: $246,300 (Location: San Francisco) Final salary and offer will be determined by the applicant's background, experience, skills, internal equity, and alignment with geographic and other market data. We offer a wonderful benefits package including: 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), and Retirement/Pension. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. The SF Fed is an Equal Opportunity Employer. #LI-Hybrid Full Time / Part TimeFull time Regular / TemporaryRegular Job Exempt (Yes / No)Yes Job CategoryAnalytical Work ShiftFirst (United States of America)
The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels. Privacy Notice