Engineer, AI — GenAI Platform Support

Engineer, AI - GenAI Platform Support
This role keeps Client's GenAI platforms - Claude, OpenAI, Glean, and whatever comes online next - configured, healthy, and safe. You own the technical side of platform support: triaging bugs and defects with the vendors and driving them to resolution, delivering the technical work that features and security demand - client app management, access configuration, and the security controls that require development effort - and pushing approved features to production. You'll work hand in hand with Cybersecurity to keep every platform safe by design, with scoped access enforced, and with the feature-roadmap owner who runs pilots and approvals, so what reaches the enterprise lands safely. Success looks like platforms that just work, defects resolved fast, security built in, and approved features shipping without drama. If you want to help, bring AI to Client in a way that's fast, safe, and easy to use, we'd like to hear from you.
Job Responsibilities
Configure the enterprise GenAI platforms - Claude, OpenAI, Glean, and others - including security settings, Entra groups, and Cyber approvals.
Triage bugs and defects with the platform vendors and drive them to resolution.
Deliver the technical resolutions platforms demand - client app management and security controls that require development work.
Push approved features to production with the feature-roadmap owner, who runs pilots, success criteria, and approvals.
Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems
Also responsible for other duties/projects as assigned by business management as needed
Education and Work Experience
Bachelor's Degree plus 3 years of related work experience
OR advanced degree with 1 year of related work experience
OR a combination of education and experience deemed equivalent (Required)
Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or a Related Field (Preferred)
2-4+ years Developing and deploying machine learning models, including fine-tuning and prompt engineering (Preferred)
2-4+ years Experience with AI tools and software development using programming languages such as Python or R (Preferred)
2-4+ years Collaborating with cross-functional teams to integrate AI solutions into business workflows (Preferred)
Required Knowledge, Skills and Abilities
Cloud Computing
Collaboration
Customer-Focused
Data Analysis
Data Management
Data Modeling
Model Tuning
Prompt Engineering
GenAI Platform Configuration
Feature Release Management
Zero-Trust & Scoped Access
Preferred Knowledge, Skills and Abilities:
Licenses and Certifications
Certified Analytics Professional (CAP): Validates expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)
Machine Learning Certification: Demonstrates proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred)
Certified Data Scientist (CDS): Endorses skills in data science and its application in AI modeling. (Preferred)