Enterprise Intelligence Solutions Engineer

Role Description

The Enterprise Intelligence Solutions Engineer designs, architects, develops, and supports modern enterprise intelligence products, cloud data platforms, analytics solutions, and AI-enabled applications that empower business decision-making. This role combines software engineering, cloud data engineering, analytics engineering, solution architecture, data science, artificial intelligence, and deep expertise in mortgage loan origination and mortgage servicing to deliver scalable, governed, secure, and high-performing enterprise capabilities.

Working collaboratively with fellow Enterprise Intelligence Solutions Engineers and business stakeholders, this role serves as a multidisciplinary engineering professional responsible for:

• Solution architecture
• Software engineering
• Data engineering
• Analytics engineering
• Data science
• AI solution development

The Enterprise Intelligence Solutions Engineer transforms business opportunities into intelligent, scalable, and reusable enterprise solutions that improve operational efficiency, customer experience, regulatory compliance, and business performance.

This role owns the complete solution lifecycle—from business discovery and process analysis through solution architecture, engineering, deployment, operational support, and continuous optimization—while ensuring alignment with enterprise architecture, governance, security, and engineering standards.

Qualifications

• Strong software engineering experience using modern programming languages and cloud-native development practices.
• Advanced proficiency in SQL, Python, APIs, Git-based development, and modern software engineering methodologies.
• Experience with enterprise cloud platforms including Snowflake, Microsoft Fabric, Azure, Databricks, or similar technologies.
• Experience designing enterprise architectures, reusable business capabilities, and modern data ecosystems.
• Strong understanding of enterprise governance, security, metadata, and integration architecture.
• Excellent analytical thinking, communication, collaboration, and stakeholder engagement skills.

Requirements

• Experience with Generative AI, AI agents, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Experience developing enterprise applications using Streamlit, React, .NET, or similar technologies.
• Experience with DevSecOps, CI/CD, Infrastructure as Code, DataOps, and MLOps.
• Experience within mortgage loan originations, mortgage servicing, or the broader financial services industry.
• Professional certifications related to Azure, Snowflake, Microsoft Fabric, AWS, Google Cloud, AI, or software engineering.

Benefits

• Comply with all company policies and procedures.
• Maintain regular and punctual attendance.

Company Description

The company is committed to providing equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, sex, marital status, sexual orientation, gender identity or expression, pregnancy, religion, national origin, age (40 and over), disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws.

Applicants as well as employees who are or become disabled must be able to satisfactorily perform the essential job functions of the position either with or without reasonable accommodation.