Vice President Product Solutions - Chief Data Analytics Office Fusion Platform
New York, NY, United States
USD 170K-260K (estimate) Executive-level Full Time
Tasks
- Architect multi-agent systems
- Collaborate with Sales on pricing pipeline planning and account planning
- Communicate client feedback to product teams
- Debug live integration issues with engineering teams
- Define tool schemas and validate tool security
- Design and build production grade AI agents
- Develop reference implementations and SDK playbooks
- Engage client teams to capture pain points
- Identify capability gaps in observability evaluation and error recovery
- Implement knowledge base configuration and retrieval tuning
- Integrate RAG pipelines into agent workflows
- Integrate model gateway and evaluation frameworks
- Lead solutioning and product adoption
- Monitor retrieval drift in production
- Participate in architecture reviews for agent builds
- Serve as subject matter expert for products and capabilities
- Translate governance requirements into engineering constraints
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent systems | Async Programming | Autogen | Compliance Engineering | CrewAI | Embedding Models | Error Recovery | Evaluation Frameworks | Human oversight | LLM APIs | Langchain | Langgraph | MCP servers | Model Context Protocol | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Parallel execution | Prompt injection | Prompt injection mitigation | Python | RAG | Retrieval evaluation | Risk Management | SDK development | Security validation | Tool-Calling | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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