Manager, Technology Risk Consulting - AI and Emerging Technology Risk
USA-IL-Chicago-30 South Wacker Drive, Suite 3300, United States
USD 101K-203K Mid-level Full Time
Tasks
- Build and assess MLOps and LLMOps practices
- Coach and develop junior team members
- Create reusable assets for risk focused AI offerings
- Design AI governance operating models integrated with SDLC MLOps
- Design and implement AI GenAI solutions for risk use cases
- Design production readiness controls for observability drift and incidents
- Develop risk focused training materials and executive briefings
- Engineer secure AI platform reference architectures
- Implement CI CD infrastructure as code and automated testing
- Lead client workshops discovery sessions and design reviews
- Map AI risks and controls to enterprise risk management
- Operationalize responsible AI model risk practices
- Produce client deliverables including risk assessments and architecture roadmaps
- Scope workstreams define milestones and manage stakeholder expectations
- Translate risk requirements into technical control objectives
Perks/Benefits
Skills/Tech-stack
API Design | Access Control | Access Management | Artificial Intelligence | Audit Readiness | CI/CD | Compliance | Data Governance | Data Lineage | Data Pipelines | Drift Detection | Encryption | Generative AI | Human-in-the-loop | Identity and Access Management | Identity and access | Incident Response | Infrastructure as Code | LLMOps | MLOps | Machine Learning | Model Evaluation | Model Governance | Model Monitoring | Model Risk Management | Model risk | Network Security | Observability | Operational Risk | Prompt engineering | Python | Retrieval-Augmented Generation | Risk Management | Secrets management | Secure Architecture | The Loop | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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