AI Enablement Engineer

All Jobs  >  AI Enablement Engineer Apply AI Enablement Engineer Remote - US Apply Description   About PaylianceFounded in 2007, Payliance is a trusted leader in payment processing — processing more than $63 billion annually, supporting 40,000+ merchant locations, and serving over 350 lending clients. We offer an all-in-one platform for real-time funding, payment processing, account verification, and recovery services, giving lenders the technology to operate efficiently and confidently.What sets Payliance apart is our blend of modern technology, deep industry expertise, and a highly collaborative, people-first culture. Our Architectural Services team exists to multiply that advantage — and AI Enablement is one of its cornerstone services. Backed by Serent Capital, we're expanding our capabilities, accelerating innovation, and investing in the infrastructure and talent needed to put safe, governed AI in the hands of every employee.About the RoleThe AI Enablement Engineer is a new, architect-track role on Payliance's Architectural Services team, owning the platforms, guardrails, and workflows that make AI genuinely useful across the company — for engineers and non-engineers alike. This role blends AI platform engineering, agent and skill development, identity-aware security architecture, and hands-on adoption enablement with a deep commitment to governed, measurable rollout. You'll build and operate the systems that let business analysts and other non-technical employees create, submit, and use AI agents safely — without needing engineering involvement beyond a formal review gate.In payments, dependability is the product. AI capabilities at Payliance are held to the same standard as the payment platform itself: reliable, predictable, and available when the business depends on them. This role treats AI infrastructure as production infrastructure — with SLOs, observability, graceful degradation, and disciplined change management — not as an experiment that's allowed to fail quietly.This role is ideal for a seasoned engineer growing into architecture: fluent in modern LLM platforms (Amazon Bedrock, Anthropic Claude), able to design and ship agentic workflows end-to-end, and bringing both the reliability discipline to run AI as a dependable service and the security discipline to enforce least-privilege access, per-user permission scoping, and auditable governance in a PCI-regulated payments environment. You'll author reference architectures and design decisions that other teams build on, with a growth path toward broader architectural leadership.What You'll DoAI Platform Engineering· Operate and evolve Payliance's AI inference platform on Amazon Bedrock, including model selection, routing logic, and version pinning across the Claude model family.· Build and maintain internal AI services and integration layers (C#/.NET, Python) that connect Claude to enterprise systems and workflows.· Design cost-aware inference strategies — prompt caching, model tiering, and intent-based routing — that balance capability against spend.· Own the reliability of AI services with the same rigor applied to the payment platform: define SLOs, build observability (logging, tracing, alerting), plan capacity, and design for graceful degradation when models or upstream services falter.· Establish disciplined change management for AI infrastructure — pinned model versions, staged rollouts, and regression testing — so behavior never drifts silently in production.Agent & Skill Development· Design, build, and maintain Claude agents, Skills, and MCP (Model Context Protocol) integrations that connect AI to internal data sources and tools.· Develop reusable agent patterns — retrieval, tool use, structured output, multi-step workflows — that other teams can adopt without starting from scratch.· Author and curate high-quality prompts, skill definitions, and agent instructions, with versioning and...