AI and Automation Engineer

Agent & Workflow Development

• Design and build AI agent workflows that automate or accelerate business processes across originations, credit risk, compliance, collections, and operations

• Migrate manual and semi-automated processes into governed, production-grade agent pipelines with appropriate human-in-the-loop checkpoints, approval gates, and escalation patterns

• Build with Strands Agents SDK as the preferred default framework; apply judgment to use CrewAI, LangGraph, AutoGen, LlamaIndex, Haystack, or other frameworks where better suited

• Implement structured outputs, function calling, and tool-use patterns to connect LLMs with internal business logic and data

Tool Integration & Automation Engineering

• Manage, build, and maintain MCP (Model Context Protocol) servers and clients to give agents structured, governed access to internal APIs, databases, and third-party data providers

• Develop skills, plugins, and tool integrations for Claude and other AI platforms used across the organization

• Integrate AI capabilities with existing systems via REST APIs, event queues, and cloud-native AWS services

• Evaluate and implement lightweight automation connectors (n8n, Zapier, Make) for business stakeholder workflows where full agent development is not warranted

Observability & Responsible AI

• Instrument every workflow you build with logging, tracing, and alerting so teams can audit agent behavior, debug failures, and measure outcomes

• Implement guardrails and usage controls across AI deployments, covering autonomous, semi-autonomous, ad hoc, scheduled, event-driven, manually triggered, and human-review-gated workflows

• Contribute to responsible AI documentation including runbooks, incident response playbooks, and acceptable use standards for AI-assisted processes in a regulated fintech environment, in partnership with the Technology Operations team

• Stay current on agentic AI developments, vulnerability patterns, and compliance requirements relevant to consumer lending

Collaboration

• Work directly with business stakeholders to translate process requirements into agentic workflow specs — you need to understand what the business does, not just what the framework supports

• Contribute to shared frameworks, reusable agent components, and internal engineering standards developed by the Head of AI & Automation

• Participate in design reviews, code reviews, and cross-team knowledge sharing