Director - AI Engineer
Bangalore, Karnataka, India
INR 2400K-6000K (estimate) Executive-level Full Time
Tasks
- Build and scale teams through hiring mentoring and leadership development
- Define OKRs KPIs and success metrics
- Define and execute AI engineering vision roadmap and operating model
- Drive adoption of MLOps and LLMOps best practices
- Drive collaboration transparency and continuous learning
- Ensure scalable secure and governed AI architectures
- Establish AI governance frameworks
- Lead AI modernization initiatives to production deployments
- Oversee design and delivery of GenAI platforms and reusable AI capabilities
- Oversee design and delivery of agentic workflow driven automation systems
- Promote platform and product mindset for reuse and standardization
- Provide strategic and operational leadership for AI Engineering teams
- Represent AI Engineering in enterprise forums and client engagements
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AI Workflow Orchestration | AI workflow | API Development | Agent systems | Amazon Web Services | CI/CD | Cloud platform | Compliance | Embeddings | Generative AI | Go | Google Cloud | Google Cloud Platform | Java | LLMOps | LLMs | Lifecycle Management | MLOps | Microsoft Azure | Model Lifecycle | Model Lifecycle Management | Observability | Privacy | Prompt engineering | Python | RAG | Responsible AI | Scala | Security | Vector Databases | Web Services | Workflow Orchestration
Education
N/A
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