Job Description: Were seeking a hands-on AI architect/engineer and leader to design build and deliver agentic AI systems for complex financial workflows. This role combines deep technical execution with strategic communication-youll code prototype and lead conversations with senior stakeholders.
What Youll Do:
- Architect and implement multi-agent orchestration for investment risk and compliance workflows.
- Build LLM-powered pipelines with advanced RAG tool routing and orchestration graphs.
- Develop Python-based microservices using LangChain Hugging Face PyTorch FastAPI.
- Integrate with financial data sources (Bloomberg Refinitiv) and risk engines.
- Implement trust safety and compliance guardrails for regulated environments.
- Lead client workshops executive briefings and solution roadmaps-translate technical complexity into business clarity.
Must-Have:
- Expert in Python frameworks LLMOps/MLOps and cloud-native deployment.
- Strong knowledge of financial instruments risk modeling and regulatory controls.
Proven ability to ship complex AI systems end-to-end and communicate with leadership.
Job Description: Were seeking a hands-on AI architect/engineer and leader to design build and deliver agentic AI systems for complex financial workflows. This role combines deep technical execution with strategic communication-youll code prototype and lead conversations with senior stakeholders. Wha...
Job Description: Were seeking a hands-on AI architect/engineer and leader to design build and deliver agentic AI systems for complex financial workflows. This role combines deep technical execution with strategic communication-youll code prototype and lead conversations with senior stakeholders.
What Youll Do:
- Architect and implement multi-agent orchestration for investment risk and compliance workflows.
- Build LLM-powered pipelines with advanced RAG tool routing and orchestration graphs.
- Develop Python-based microservices using LangChain Hugging Face PyTorch FastAPI.
- Integrate with financial data sources (Bloomberg Refinitiv) and risk engines.
- Implement trust safety and compliance guardrails for regulated environments.
- Lead client workshops executive briefings and solution roadmaps-translate technical complexity into business clarity.
Must-Have:
- Expert in Python frameworks LLMOps/MLOps and cloud-native deployment.
- Strong knowledge of financial instruments risk modeling and regulatory controls.
Proven ability to ship complex AI systems end-to-end and communicate with leadership.
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