Executive Director AI Engineering
Bangalore, KA, India
INR 1500K-6000K (estimate) Executive-level Full Time
Tasks
- Architect AI platform using LLMs and semantic search
- Build continuous learning feedback loops
- Build data ingestion and processing pipelines
- Design production AI infrastructure
- Design scalable performance and cost efficient systems
- Develop multi agent orchestration workflows
- Ensure responsible AI and trust and safety
- Evaluate integrate and optimize large language models
- Implement CI CD pipelines for Gen AI services
- Lead AI engineering team
- Manage vendor relationships and platform partnerships
- Optimize cloud costs for AI workloads
- Own model serving and inference lifecycle
- Partner with AI governance and IT teams
- Translate AI strategy into engineering roadmap
Perks/Benefits
- Collaborative workspaces
- Employee resource groups
- Flexible working arrangements
- Global orientation program
- Learning and development
Skills/Tech-stack
Agent Orchestration | Agentic AI | Azure | CI/CD | Cloud Native | Cloud platform | Continuous Learning | Data Engineering | Data Pipelines | Distributed Systems | Experimentation Frameworks | GCP | Generative AI | Google Cloud | Google Cloud Platform | Inference Pipelines | Language Models | Large Language Models | MLOps | Model Evaluation | Model Serving | Multi-Agent | Multi-agent orchestration | RAG | Retrieval-Augmented Generation | Semantic Search | System Observability | Trust and Safety
Education
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