• Bachelor’s Degree in IT, Computer Science, or a related field
• 10 years of relevant experience
• Artificial intelligence and machine learning engineering
• Generative AI and large language models
• AI solution architecture and systems engineering
• AI/ML prototyping, testing, evaluation, performance assessment, and monitoring
• Integration and deployment of AI/ML capabilities within approved cloud, application, and infrastructure environments
• Responsible AI, information security, privacy, documentation, and technical risk management
• 10 or more years building software from source, managing third party dynamic libraries, identifying build-time issues and incompatibilities
• 10 or more years of experience with Databases
• 10 or more years of experience with Web & Internet Technologies: HTML, XML, JSON, HTTP, CSS, SMTP, DNS, HTTP Cache Expires headers, REST services, OAuth 2, SSL Certificates
• 10 or more years of experience with installing, configuring, and maintaining local services (daemons)
• 10 or more years of experience with Operating Systems: Windows Server, Linux, command-line shell; installation of software; packages; editors; configuration; revision control of configuration
• 10 or more years of experience with Scripting Languages: RUBY, SHELL, PERL, BASH, Powershell, Python
• 10 or more years of experience with Version Control Tools such as Git, TFS, CVS, SVN
• 10 or more years of experience configuring, managing, and supporting Application/Web Servers such as Apache HTTPD, NGINX, Java containers
• 10 or more years of experience with Cloud Build and Release Engineering / DevOps, (AWS, Azure)
• 10 or more years of experience with AWS Services: EC2, S3, CloudFront, Cloud Watch, SQS, ELB, , VPC, RDS, IAM, , Cloud Formation, , Cloud trail,
• 10 or more years of experience with Linux/Unix system-level tools such as LogRotate, Cron, user/group permissions model, services
• 10 or more years of experience in Support role, working with other application and Ops teams in resolving issues/incidents