Senior Manager, AI & ML Engineering
Tasks
- Build ROI tracking business cases
- Build board ready risk posture reporting
- Define multi year AI ML roadmap
- Deliver executive presentations and AI ML updates
- Design AI ML cost structure and benchmark
- Drive platform modernization from proof of concept to production
- Ensure security by design and data governance
- Establish responsible AI and compliance throughout lifecycle
- Lead technical architecture for RAG and GraphRAG
- Manage AI ML portfolio resources and budget ROI
- Monitor AI ML market trends and competitor capabilities
- Optimize LLM based document processing pipelines
- Orchestrate multi-agent systems
- Oversee AI ML platform delivery aligned to OKRs
- Partner cross-functionally for AI integration
- Prepare for and succeed in external audits
Perks/Benefits
- Birthday day off
- Continuous mentoring
- Employee assistance program support
- Employee share plan
- Flexible work arrangements
- Generous holidays
- Professional accreditation support
- Sports events and social committees
- Study leave
Skills/Tech-stack
AWS | AWS Bedrock | Agent Orchestration | Agentic Frameworks | Anthropic | Azure | Cloud Computing | Cloud platform | Data Governance | Docker | Fine Tuning | Google Cloud | Google Cloud Platform | GraphRAG | Kubernetes | LLM APIs | Langchain | Langgraph | Language Processing | Machine Learning | Microservices | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | PyTorch | Python | RAG Pipelines | REST APIs | Responsible AI | Retrieval-Augmented Generation | Semantic Search | Semantic indexing | TensorFlow | Vector Databases
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