Enterprise Intelligence Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, architect, develop, and implement comprehensive enterprise intelligence solutions to tackle complex business challenges.

• Convert business capabilities into reusable enterprise intelligence products that support analytics, automation, artificial intelligence, and operational excellence.

• Collaborate with fellow engineers to establish engineering standards, architectural patterns, and reusable solution frameworks.

• Utilize enterprise architecture principles to ensure scalability, reliability, governance, security, maintainability, and cost efficiency.

• Create and develop cloud-native data platforms, integration frameworks, APIs, and enterprise data pipelines.

• Engineer reusable enterprise data products, semantic models, and curated datasets to facilitate analytics and artificial intelligence.

• Enhance the performance of enterprise data processing, storage, and cloud platforms.

• Implement DataOps, CI/CD, Infrastructure as Code, automated testing, observability, and operational monitoring practices.

• Develop analytical models, forecasting solutions, executive dashboards, KPIs, and capabilities for decision support.

• Conduct exploratory data analysis, statistical modeling, and predictive analytics.

• Employ machine learning techniques to enhance operational performance and customer outcomes.

• Design and build AI-enabled enterprise applications and intelligent automation solutions.

• Create AI agents, Retrieval-Augmented Generation solutions, enterprise copilots, and natural language interfaces.

• Integrate Large Language Models into enterprise applications while adhering to responsible AI principles.

• Assess emerging AI technologies and propose innovative business solutions.

• Develop enterprise applications, APIs, and contemporary user experiences.

• Implement version control, peer reviews, automated testing, DevSecOps, and continuous integration practices.

• Embed governance, metadata, lineage, security, privacy, and data quality into solutions.

• Ensure adherence to enterprise architecture, regulatory requirements, and organizational standards.

• Create reusable engineering standards, templates, accelerators, and best practices.

• Mentor fellow engineers while promoting innovation and continuous improvement.

• Adhere to company policies and procedures, maintaining regular and punctual attendance.

• Execute other related duties as assigned.

⛳️ Requirements

• Robust software engineering experience utilizing modern programming languages and cloud-native development practices.

• Advanced expertise in SQL, Python, APIs, Git-based development, and contemporary software engineering methodologies.

• Familiarity with enterprise cloud platforms such as Snowflake, Microsoft Fabric, Azure, Databricks, or similar technologies.

• Experience in designing enterprise architectures, reusable business capabilities, and modern data ecosystems.

• Strong knowledge of enterprise governance, security, metadata, and integration architecture.

• Excellent analytical thinking, communication, collaboration, and stakeholder engagement abilities.

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering, or equivalent professional experience.

• A minimum of five years of experience in designing and delivering enterprise software, analytics, AI, or cloud data solutions.

• Preferred: experience with Generative AI, AI agents, Large Language Models, and Retrieval-Augmented Generation.

• Preferred: experience with Streamlit, React, .NET, or similar technologies.

• Preferred: familiarity with DevSecOps, CI/CD, Infrastructure as Code, DataOps, and MLOps.

• Preferred: experience in mortgage loan originations, mortgage servicing, or broader financial services.

• Preferred: professional certifications related to Azure, Snowflake, Microsoft Fabric, AWS, Google Cloud, AI, or software engineering.

• Certificates, licenses, and registrations: None required.

• Ability to satisfactorily perform essential job functions with or without reasonable accommodation.

• Occasional capability to lift or move up to 25 pounds.

🏝️ Benefits

• Equal employment opportunities.

• Reasonable accommodations for applicants and employees with disabilities.

• Professional certifications related to Azure, Snowflake, Microsoft Fabric, AWS, Google Cloud, AI, or software engineering may be relevant preferred qualifications.