Lead AI Engineer- GTM Systems
Tasks
- Architect low code automation and custom agentic AI pipelines
- Conduct architecture reviews and drive continuous improvement
- Create reference architectures design patterns and decision frameworks
- Define technical vision for AI powered GTM systems
- Design integration architecture patterns APIs event contracts and data models
- Develop and maintain evaluation and observability for LLM systems
- Drive evaluation selection and adoption of AI tools and frameworks
- Establish governance for low code automation
- Lead architecture for complex multi system GTM integrations
- Own LLM orchestration prompt safety and tool calling
- Produce architecture decision records and technical documentation
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Lambda | Agent coordination | Async event-driven architecture | Async/event-driven | Chunking | Context Management | CrewAI | Embedding pipelines | Event-driven architecture | EventBridge | FastAPI | LLM orchestration | LLM safety | Langchain | Langgraph | Llamaindex | Marketo | Model context management | MuleSoft | Multi-Agent | Multi-Agent Coordination | Netsuite | Node.js | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SNS | SQS | Salesforce | Salesforce Flow | Serverless | Tool-Calling | Vector Databases | Vector embeddings | Workato
Education
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Lead | Lead AI Engineer
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