Senior Agentic RAG /Graph RAG – AI Consultant
Are you ready to shape the future of AI in wealth management? Apply Now!
Working with one of our top financial clients, this role calls for a Senior Agentic RAG /Graph RAG – AI Consultant. This position involves leading the development and deployment of advanced AI systems designed for autonomous reasoning, multi-agent collaboration, and intelligent workflow automation within regulated Wealth Management environments.
Pay rate range (CAD): $17.60 – $58.54
Responsibilities
- Design and develop enterprise-level Agentic AI and RAG architectures to support complex wealth management workflows
- Build AI agents capable of orchestrating retrieval, reasoning, and execution of actions within regulated environments
- Develop multi-agent workflows that incorporate retrieval, analysis, validation, and compliance checks
- Integrate tools, APIs, graph queries, and enterprise data systems into AI agent workflows for seamless operation
- Implement memory management and state retention strategies across AI processes
- Create guardrails, approval workflows, and governance controls to ensure compliance and operational integrity
- Support scalable deployment, monitoring, and maintenance of AI services and orchestration frameworks
- Collaborate with architects, AI engineers, product teams, and platform specialists to optimize system performance and reliability
- Enhance AI reasoning, explainability, and operational efficiency through continuous improvement
Desired Skill-Set
- Proven experience designing and building Agentic AI or RAG systems in enterprise environments
- Hands-on expertise with frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel
- Strong understanding of RAG architecture, multi-agent orchestration, and enterprise AI patterns
- Proficiency in Python programming and AI development best practices
- Experience integrating APIs, search systems, graph databases, and enterprise tools into AI workflows
- Knowledge of AI governance principles, guardrails, and explainability techniques
- Familiarity with deploying AI solutions on cloud platforms, with a focus on scalability and security
Nice to Have
- Experience in wealth management or financial services industries
- Working knowledge of regulated enterprise AI environments and compliance requirements
- Experience with Graph RAG, knowledge graphs, or graph database integrations
- Understanding of auditability, risk management, and human-in-the-loop AI workflows
- Exposure to MCP ecosystems, evaluation frameworks for AI agents, or enterprise-grade GenAI deployment at scale
- Familiarity with Azure OpenAI, vector databases, or advanced retrieval systems
BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.