AI Agent Architect for FinTech Workflows

Purchasing Power, LLC

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Full health benefits
Company matched 401k
Paid time off + holidays
Diversity alliance groups
Employee stock purchase program
Tuition reimbursement
Charitable gift matching
Equipment provided

Job summary

Purchasing Power, LLC is seeking a Forward Deployed Agent Builder to work with our business and product teams to design, build, and deploy AI agents that solve real-world workflows.

This role sits at the intersection of agent engineering, product thinking, and stakeholder communication — translating complex business problems into intelligent, scalable AI solutions that deliver measurable impact across the organization.

Qualifications

  • Hands-on experience with agent frameworks and multi-agent architectures.
  • Design AI experiences people want to use.
  • Strong collaboration with product and business teams.
  • Experience building RAG pipelines and vector databases.
  • Familiarity with enterprise systems and API integrations.

Responsibilities

  • Frame complex problems with business teams and translate requirements into agent workflows.
  • Design and build agent workflows using LangChain and LangGraph with multi-agent architectures.
  • Architect end-to-end RAG pipelines and integrate vector databases.
  • Develop memory systems and manage context across interactions.
  • Integrate agents into enterprise systems via APIs and platform connectors.
  • Create business application agents using Copilot Studio, Power Automate, and Power Apps.

Skills

LangChain
LangGraph
Multi-agent systems
API integration
Product thinking
Communication

Tools

Copilot Studio
Power Platform
Pinecone
Qdrant
Weaviate

Job description

Purchasing Power, LLC is seeking a Forward Deployed Agent Builder to work with our business and product teams to design, build, and deploy AI agents that solve real-world workflows.

This role sits at the intersection of agent engineering, product thinking, and stakeholder communication — translating complex business problems into intelligent, scalable AI solutions that deliver measurable impact across the organization.

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