AI Solution Architect

Job Description

As a Forward Deployed Engineer, you will work side by side with our US mortgage customers to turn their business vision into working, production-grade agentic AI solutions. You are a business consultant, a hands-on enterprise architect, and an AI-native builder in one role. You own the outcome from the first discovery conversation to go-live and beyond.

Roles & Responsibilities

Business consulting and customer partnership

• Engage directly with fintech customers to understand their goals, pain points and vision across origination, underwriting, closing and servicing.
• Lead AI use-case discovery: identify opportunities, quantify value, and convert them into pilots with clear success metrics and ROI.
• Re-engineer business processes from AS-IS to TO-BE agentic workflows and guide stakeholders through the change.
• Build proposals, sprint-wise estimates, pilot and delivery plans, and advise customers on the TCO of AI solutions.

Enterprise architecture

• Design end-to-end, full-stack solutions spanning UI, APIs, data, integrations and cloud (AWS, Azure or GCP).
• Architect multi-agent systems, RAG pipelines and MCP-based integrations with mortgage systems of record such as LOS, POS, pricing and servicing platforms.
• Apply well-architected principles to AI: security, reliability, scalability, observability, and cost and token efficiency.
• Select the right models, frameworks and deployment patterns for each problem.

AI-native, hands-on engineering

• Build solutions yourself using AI coding tools such as Claude Code, Cursor, Codex and GitHub Copilot as part of your everyday workflow.
• Practice spec-driven development: write clear specs first, then use AI agents to build, test and review against them.
• Develop agents with tools, memory and MCP servers using frameworks such as LangGraph, Google ADK, AWS Strands or Langflow.
• Automate business processes with agentic AI, for example loan document processing, income calculation, conditions clearing, compliance checks and operations copilots.
• Use AI agents across the SDLC for requirements, design, testing, DevOps and incident response.

End-to-end delivery ownership

• Own scope, timeline, quality and customer satisfaction for your engagements.
• Set up agent evaluation, guardrails, security reviews and UAT, and secure approval for production go-live.
• Establish AI governance, risk and compliance practices suited to a regulated industry.
• Measure outcomes after launch, report ROI, and drive continuous improvement.

What we expect from you

• Think like a consultant. Start from the customer's business problem, not the technology, and help them realize their vision.
• Build like an engineer. Stay hands-on: you write specs, code, test and deploy, not just design on slides.
• Work AI-native. Use AI tools and agents to deliver faster and better than traditional teams, and show customers how to do the same.
• Own the bottom line. Take full accountability for delivering the committed scope. When problems arise, you solve them rather than escalate them.
• Learn the domain deeply. Understand mortgage processes, data and regulations well enough to earn the trust of business users.
• Communicate with clarity. Explain complex ideas simply to executives, business users and engineers, and push back when needed.

Skills To Be Evaluated On

React.js,TypeScript,Node.js,Java,Python,react/node,Reach JS / Typescript,Python/Java/Node js,AWS/Azure/GCP, Customer-Facing Technical Delivery

Must

US Mortgage/Lending Domain,LOS/POS Integrations,LangGraph/Google ADK/AWS Strands/Langflow,GSE Guidelines,HMDA,AI Governance (NIST AI RMF/ISO 42001),Agent Evaluation,Business Process Re-engineering,ROI/TCO Analysis.

Pay: From $120,000.00 per year

Work Location: Remote