Senior Manager AI Engineering / Agentic AI Engineering
Tasks
- Define enterprise AI architectures
- Design enterprise RAG platforms
- Design knowledge architectures vector and graph
- Develop commercial proposals and opportunities
- Develop multi-agent AI systems
- Drive go to market and innovation initiatives
- Ensure responsible AI governance and compliance
- Implement LLMOps and AgentOps
- Integrate large language models at scale
- Lead cross-functional engineering teams
- Manage executive client relationships
- Pilot AI transformation programs end to end
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agent systems | AgentOps | Amazon Neptune | Amazon Web Services | Autogen | Azure | Azure OpenAI | Databricks | Distributed Systems | Generative AI | Google Cloud | Graph Database | Graph RAG | Knowledge graph | LLMOps | Langchain | Langgraph | Langsmith | Language Model | Large Language Model | Llamaindex | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | Neo4j | Prompt engineering | Retrieval-Augmented Generation | Semantic Kernel | Snowflake | Spark | Vector Database | Vertex AI | Web Services | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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