Artificial Intelligence Solution Engineer

Idexcel; Herndon (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Idexcel in Herndon, VA is seeking an AI Solutions Engineer who will own customer success from architecture through deployment while writing production code every week. You'll build AI workflows that extract data from large loan packages and design policy-driven, enterprise-grade solutions.

You will collaborate with product managers, engineers, credit officers, and CIOs to turn real banking problems into scalable AI capabilities, integrating with LOS, document repositories, and CRMs.

Qualifications

• Own architecture to deployment of AI solutions for commercial lenders.
• Hands-on experience with LLMs, MCP, RAG, vector databases, and prompt engineering.
• Demonstrated customer-focused approach with measurable outcomes.
• Strong ownership from discovery through production success.

Responsibilities

• Design and deploy enterprise AI solutions integrating with core banking systems and CRMs.
• Write production software for AI workflows, agent skills, and data pipelines.
• Move fast with rapid prototyping, deployment, and adoption measurement.

Skills

TypeScript/Node.js

Python

React

PostgreSQL

GraphQL

REST APIs

AWS

Tools

TypeScript/Node.js

Python

React

PostgreSQL

GraphQL

REST APIs

AWS

Job description

This isn't a traditional software engineering role, and it isn't a consulting role. As an AI Solutions Engineer, you'll own customer success from architecture through deployment while writing production code every week — one week building an AI workflow that extracts financial data from 500-page loan packages, the next designing an agentic workflow that applies lending policies across an enterprise portfolio. You'll work alongside product managers, engineers, credit officers, and CIOs to turn real banking problems into scalable AI capabilities that improve the platform for every customer.

What You'll Do

• Design and deploy enterprise AI solutions for commercial lenders — AI agents, RAG pipelines, and intelligent workflows integrated with core banking systems, LOS platforms, document repositories, and CRMs
• Write production software that becomes part of the Cync platform: agent skills, banking integrations, document intelligence pipelines, policy engines, credit analysis workflows, and multi-agent systems
• Move fast — prototype in days, deploy in weeks, measure adoption, and iterate continuously

What We're Looking For

• Strong engineering skills across several of: TypeScript/Node.js, Python, React, PostgreSQL, GraphQL, REST APIs, AWS
• Hands‑on AI experience with LLMs, Amazon Bedrock, Anthropic Claude, agent frameworks, MCP, RAG, vector databases, and prompt engineering — production deployment experience highly valued
• Customer obsession — you ask "why" before building and measure success by customer outcomes, not story points
• A builder mindset and high ownership — you prototype, ship, and stay with a problem from discovery through production success

Bonus Points

Commercial lending, loan origination systems, credit underwriting, financial spreading, banking integrations, enterprise SaaS, document AI/OCR, compliance systems, security/identity (OAuth, Cognito, JWT), event-driven architectures, or AWS serverless.

Technologies You'll Use

Amazon Bedrock, Claude, Node.js, Python, React, TypeScript, PostgreSQL, GraphQL, AWS Lambda, API Gateway, Cognito, S3, CloudFront, EventBridge, Docker, GitHub Actions, Terraform/CloudFormation.