Senior Manager, AI Engineering

Tasks

• Align priorities manage dependencies and delivery sequencing
• Communicate complex technical concepts risks and recommendations
• Drive transition from prototype to production ready capabilities
• Establish reusable engineering patterns and delivery standards
• Evaluate technical trade offs and recommend solutions
• Lead technical delivery of AI and data engineering solutions
• Operationalize AI enabled solutions into production
• Provide technical leadership across cross functional delivery teams
• Translate business challenges into AI data solution approaches

Perks/Benefits

• Flexible work environment
• Hybrid work location

Skills/Tech-stack

AI Agents | AI Governance | Analytics Platforms | CI/CD | Cloud Native | Cloud-native development | Data Engineering | DevOps | Explainability | Generative AI | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model Validation | Native Development | Observability | Predictive Analytics | Prescriptive Analytics | Retrieval-Augmented Generation | Scalability | Security | Software Engineering | Vector Databases