AI Software Engineer

Fidelity National Financial

8d•$100,000 - $150,000•Remote

About The Position

We’re looking for a hands-on AI Software Engineer to design, build, and support FNF-approved agents that streamline work across title, escrow, and back-end corporate functions. You will execute a prioritized backlog of use cases, turning workflows into working agents deployed to approved channels, with strong quality, reliability, and fast iteration, by primarily using Copilot Studio, the Microsoft 365 Copilot Agent kit, and the Power Platform to take real world workflows from idea to production deployment.

Requirements

Minimum three to five years’ experience working in enterprise software development (SDLC.)
Hands on delivery experience with Copilot Studio, Microsoft 365 Copilot Agent kit, and enterprise Power Platform in production environments.
Strong communication skills with teh ability to translate business needs into clear agent behavior, guardrails, and measurable outcomes.
Comfort working in data-sensitive environments and following policy-driven development practices.

Nice To Haves

Experience with real estate, legal technology, digital adoption, or organizational change preferred.
Experience with ALM/solution packaging.
Bachelor’s degree in engineering, Computer Programming or a related field.
Experience integrating agents/automations with enterprise systems via connectors/APIs (with appropriate security review).
Familiarity with responsible AI concepts (data governance, privacy-by-design, model risk considerations) in an enterprise setting.
Enterprise security & compliance familiarity with access controls (such as Entra ID / Conditional Access.)

Responsibilities

Partner with title, escrow, and corporate teams to identify high-value workflows and translate them into agent requirements, user stories, and success metrics.
Run working sessions to map processes, define inputs/outputs, and confirm what data the agent can (and cannot) access under FNF policy.
Design, build, test, and deploy Copilot Studio agents, including conversation flows, topics, action integrations, grounded knowledge sources, fallback logic, and escalation pathways.
Use the M365 Copilot Agent kit patterns to package, deploy, and operationalize agents consistently across the enterprise (templates, reuse, lifecycle management).
Create supporting automation using Power Platform (Power Automate, Power Apps, Dataverse where appropriate), including approvals, notifications, and workflow orchestration.
Partner with InfoSec, Legal/Compliance, and platform owners to ensure every agent aligns with FNF standards for responsible AI, data privacy, and information security.
Implement structured QA processes, including accuracy validation, guardrail behavior testing, safe failure patterns, prompt and knowledge source updates, and versioned release documentation.
Configure telemetry dashboards, monitor reliability and performance metrics, and drive continuous iteration based on end user feedback and usage data,
Produce lightweight documentation and job aids (quick-start guides, “how to use” notes, known limitations) and support pilot groups through rollout.
Maintain a library of reusable components (prompt patterns, knowledge structures, action templates) to accelerate delivery.