Senior Manager, Applied AI Engineering (AI Studio)
Tasks
- Create engagement roadmaps and acceptance criteria
- Develop AI engineering practice playbook
- Ensure human AI experience and responsible AI governance
- Guide technical validation across software automation and AI
- Lead applied AI product delivery
- Lead multi team delivery through deployment and stabilization
- Manage lifecycle operations CI CD infrastructure as code observability and incidents
- Orchestrate evaluation release evidence and regulated readiness
- Plan capacity prioritize engagements and manage workload
- Recruit onboard coach and manage performance
- Serve as product owner and architect
- Sponsor reusable architectures accelerators components and APIs
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Access Management | Agents | Amazon Bedrock | Amazon SageMaker | Apache Spark | CI/CD | Cloud Computing | Databricks | Deep learning | DevSecOps | FinOps | Generative AI | GxP | Identity and Access Management | Identity and access | Incident Management | Infrastructure as Code | Kubernetes | LLMOps | Language Processing | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Observability | Privacy | Python | RAG | Responsible AI | Rollback and Recovery | SLOs | Security | Serverless | Testing | “as-code”
Education
States
Cities
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