Hands-on development of end-to-end AI solutions to solve complex business problems
Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud
Building or deploying systems powered by LLMs or generative models
Proficiency in programming languages for AI development such as Python, R, or SQL
Experience with big data technologies such as Hadoop and Spark
Implementing required security and privacy controls when developing AI-enabled prototypes
Applying cloud platform security features to ensure AI applications adhere to enterprise and regulatory requirements
Executing security-related tasks such as integrating authentication, enforcing role-based access
Documenting security-relevant design decisions, data flows, and privacy considerations
Collaborating with internal stakeholders to create AI-enabled solutions for repeatable business problems
Fostering innovation by identifying new AI technologies or methodologies that can enhance current processes

Bachelor’s degree in relevant discipline (Computer Science or related field)
2 + years working on designing and deploying technology projects involving advanced analytics or machine learning models
A minimum of 1-year hands-on experience with Generative Artificial Intelligence technology experimentation, prototyping, solutioning and deployment
Familiarity with cloud-based AI technologies and platforms is strongly preferred
Professional Certification such as AWS Certified Solutions Architect or Azure Solutions Architect are preferred

medical, dental, and vision coverages
FSA and HSA healthcare accounts
life and accident insurance
adoption and fertility assistance
paid parental leave up to 10 weeks
short/long term disability
401(k) savings and investment plan with an employer match of 50% on the first 6% of contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time
up to 20 days of CTO per calendar year
up to 11 paid holidays each calendar year

Senior AI Cloud Developer

Key skills