AI and Automation Engineer

Title: AI & Automation Engineer

Function: Technology

Reports to: Head of AI & Automation

Level: Associate / Mid-Level

Location: Addison, TX (4 days/week in-office)

Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.

Who We Are

Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime®, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.

We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role.

About The Role

We are building out a new AI & Automation practice at Braviant and are hiring two AI and Automation Engineers to join the team. These are hands-on builder roles focused on designing, deploying, and governing AI-powered automation workflows across our business, spanning consumer lending originations, credit risk, compliance, collections, and internal operations.

You will report to the Head of AI & Automation and work closely with stakeholders across the business to identify manual and semi-automated processes that can be replaced or accelerated by agentic AI workflows. Day-to-day, this means building agents that do real things: routing decisions, processing documents, triggering actions across systems, escalating exceptions to humans, and logging everything so we can audit and improve over time.

This is a greenfield role at a company that uses Claude, Claude Code, and the broader Anthropic ecosystem as primary AI infrastructure. You will build on top of those tools and extend them. We are an AWS shop, and our preferred agentic framework is Strands Agents SDK, though we expect you to choose the right tool for the problem and bring framework judgment, not just framework familiarity.

If you are early in your AI engineering career and want to own real production systems rather than prototype demos, and if you want to build in a regulated, high-stakes environment where the quality of your work actually matters, this role is for you.

What You'll Build

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 fra