AVP/AI Engineer
Core
Build a next-generation enterprise AI and data platform enabling teams to design, deploy, integrate, and scale intelligent applications and agents across investment research, portfolio management, risk, client, and operational workflows.
Role type
Senior AI and Data Engineer (Agentic AI Platform)
Builds
Standardized infrastructure, reliable data products, commercial and self-hosted model access, retrieval, agent orchestration, evaluation, observability, security, and governance for investment workflows.
Domain
Investment Technology / Agentic AI / Enterprise Data Platforms
Deliverable
production ML models
Required skills
Python (OOP, async), SQL, Agent orchestration, RAG architecture, Vector/Graph retrieval, Cloud platforms (Azure/AWS/GCP/Snowflake), CI/CD, Kubernetes, Model evaluation frameworks, LLM evaluation, API integration, Microservices
Preferred skills
MCP servers, Semantic layers, Agent memory, Document intelligence, Model hosting (vLLM/Ollama), AI-assisted development tools, OpenTelemetry
Technologies
LangGraph, Semantic Kernel, AutoGen, Pydantic AI, Azure OpenAI, OpenAI APIs, Anthropic, Google Gemini, Hugging Face, Docker, Kubernetes, AKS, GKE, Datadog, LangSmith, MLflow
Responsibilities
Build reliable, reusable, and AI-ready data products for investment use cases; Design and develop production-grade AI applications, agents, and intelligent workflows using Python; Implement agent orchestration, tool integration, retrieval, memory, and multi-step workflows; Integrate AI capabilities into enterprise applications, data platforms, and business systems; Contribute to the shared AI and data platform that powers these capabilities at scale.
Seniority
Senior, hands-on IC