A.I. Platform Engineer

At eLEND, we're redefining the future of lending through Artificial Intelligence, intelligent automation, and cloud-native engineering. By combining modern Azure technologies, distributed systems, and AI-powered workflow orchestration, we're building the next generation of lending operations that automate underwriting, fulfillment, borrower engagement, and operational decision-making—while maintaining the governance, compliance, and human oversight required in regulated financial environments.

As we continue to expand our AI platform capabilities, we're seeking a Senior AI Platform Engineer to help architect, build, and operationalize enterprise-grade AI infrastructure that powers intelligent workflow automation across the lending lifecycle.

The Senior AI Platform Engineer plays a foundational role in designing the orchestration layer that enables scalable, secure, and reliable AI-powered lending operations.

You'll partner closely with Product, Engineering, Architecture, Data Science, Infrastructure, Security, and Operations teams to design resilient event-driven systems, integrate AI agents into enterprise workflows, and build production-grade AI automation platforms that scale from proof-of-concept to enterprise deployment.

This role is ideal for an engineer who enjoys solving complex distributed systems challenges while helping shape the future of AI-native financial technology.

• Design and implement scalable workflow orchestration platforms using technologies such as Temporal, Azure Durable Functions, Camunda, or similar workflow engines.
• Build long-running, fault-tolerant workflows supporting underwriting, borrower onboarding, fulfillment, servicing, and operational lending processes.
• Develop durable execution patterns including retries, checkpointing, recovery mechanisms, asynchronous coordination, and workflow resiliency.
• Design distributed event-driven architectures utilizing Azure Service Bus, Event Grid, APIs, and messaging services.
• Build highly scalable AI execution infrastructure capable of orchestrating complex multi-step business workflows.
• Continuously optimize workflow performance, scalability, and operational efficiency across AI-enabled platforms.

• Architect and deploy cloud-native applications using Microsoft Azure services including:

Azure Kubernetes Service (AKS)
Azure OpenAI
Azure AI Foundry
Azure Functions
Azure Service Bus
Azure Event Grid
Cosmos DB
API Management
Azure Key Vault

• Design secure, highly available, resilient, and scalable cloud infrastructure.
• Implement Infrastructure-as-Code (IaC) solutions using Terraform, ARM Templates, or Bicep.
• Support Kubernetes container orchestration, Docker deployment strategies, and cloud-native application modernization.
• Build enterprise-grade CI/CD pipelines supporting automated testing, deployment, and release management.

• Design and build AI-enabled operational workflow systems utilizing:

Large Language Models (LLMs)
AI Agents
Retrieval-Augmented Generation (RAG)
Tool Orchestration
Human-in-the-Loop Workflows

• Integrate AI capabilities into underwriting, borrower engagement, document processing, and operational decision-making workflows.
• Develop scalable AI infrastructure supporting prompt management, model deployment, evaluation pipelines, monitoring, and lifecycle governance.
• Collaborate with AI Engineers and Data Scientists to operationalize machine learning and Generative AI solutions.
• Help establish best practices for Responsible AI, governance, security, and operational oversight.

• Integrate orchestration workflows with Loan Origination Systems (LOS), CRM platforms, document management systems, and third-party APIs.
• Design extensible service layers supporting enterprise lending infrastructure.
• Develop microservices, APIs, and event-driven integrations across distributed applications.
• Ensure platform interoperability across internal and external technology ecosystems.
• Support modernization of existing lending platforms through scalable integration architectures.

• Implement monitoring, telemetry, logging, tracing, and workflow observability across distributed AI platforms.
• Design highly reliable systems that support fault tolerance, resiliency, disaster recovery, and operational continuity.
• Ensure auditability and compliance across AI-powered operational workflows.
• Support governance requirements within highly regulated financial services environments.
• Continuously improve platform performance through metrics, diagnostics, and operational insights

• Collaborate with Product, Engineering, AI, Architecture, Infrastructure, Security, and Operations teams to deliver enterprise AI initiatives.
• Participate in solution architecture reviews, technical design discussions, and engineering planning sessions.
• Support Agile development methodologies including sprint planning, backlog refinement, estimation, and release management.
• Drive engineering best practices around scalability, resiliency, maintainability, and automation.
• Contribute to technical standards, reusable platform capabilities, and enterprise architecture decisions.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).
• 7+ years of software engineering, platform engineering, or distributed systems experience.
• 3+ years of hands-on experience designing and deploying cloud-native applications within Microsoft Azure.
• Strong experience building distributed systems and event-driven architectures.
• Experience implementing workflow orchestration platforms such as Temporal, Camunda, Azure Durable Functions, or similar technologies.
• Proficiency in one or more programming languages including Python, TypeScript, Go, or C#.
• Experience with Kubernetes, Docker, CI/CD pipelines, and Infrastructure-as-Code solutions.
• Strong knowledge of API development, microservices, distributed messaging, and enterprise integration patterns.
• Excellent analytical, problem-solving, collaboration, and communication skills.
• Ability to thrive in fast-paced, highly collaborative engineering environments.

• Experience building AI-powered applications utilizing Large Language Models (LLMs), Generative AI, or Agentic AI frameworks.
• Familiarity with LangChain, LangGraph, Semantic Kernel, OpenAI SDKs, MCP architectures, or similar orchestration frameworks.
• Experience working within Mortgage Lending, Banking, FinTech, or Financial Services organizations.
• Experience supporting highly regulated enterprise environments.
• Knowledge of business process automation, workflow orchestration, and intelligent operational platforms.
• Familiarity with Azure OpenAI, Azure AI Foundry, and modern AI infrastructure services.
• Experience implementing secure AI governance and operational oversight frameworks.

Your day may include:

• Designing distributed AI workflow orchestration systems for underwriting and lending operations.
• Building event-driven architectures using Azure messaging services.
• Developing resilient AI agent workflows and orchestration pipelines.
• Integrating enterprise APIs, LOS platforms, CRMs, and document processing systems.
• Collaborating with Product, Engineering, AI, Security, and Operations teams on platform architecture.
• Monitoring production workflows, telemetry, and system health to improve reliability.
• Participating in architecture reviews, sprint planning, and technical design sessions.
• Optimizing AI infrastructure for scalability, governance, and operational excellence.
• Contributing to the evolution of enterprise AI engineering standards and platform capabilities.

Remote – U.S. Based Candidates/ travel to Tampa and Parsippany 20% 

This position operates within a highly collaborative engineering organization spanning Product, AI Engineering, Software Engineering, Platform Engineering, Infrastructure, Security, Architecture, and Operations teams.

• Frequent collaboration through Microsoft Teams, GitHub, Azure DevOps, and architecture review sessions.
• Opportunity to build foundational AI infrastructure supporting next-generation lending operations.
• Fast-paced environment focused on innovation, automation, and enterprise-scale engineering.
• Reasonable accommodations are available as needed.

• Competitive Base Salary
• Annual Performance Incentives
• Comprehensive Medical, Dental & Vision Coverage
• 401(k) Program
• Paid Time Off & Company Holidays
• Professional Development & Technical Training
• Opportunities to work with cutting-edge AI, Azure, and cloud-native technologies
• Exposure to enterprise-scale AI, automation, and digital transformation initiatives
• Collaborative engineering culture focused on innovation, learning, and continuous improvement

At eLEND, we're committed to fostering an inclusive, innovative, and collaborative workplace where every employee can thrive. We believe diverse perspectives drive better technology, stronger products, and greater innovation.

We make employment decisions based on qualifications, experience, performance, and business needs while providing equal opportunities for all individuals regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.