Data & AI Solution Engineer

Flexential Corp.
Richmond, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 110K

Job location

Remote
Richmond, United States of America

Tech stack

Adobe InDesign
API
Artificial Intelligence
Data analysis
Application Integration Architecture
Code Review
Data Centers
Information Engineering
Data Mart
Data Warehousing
Relational Databases
Decision Support Systems
Electronic Data Interchange (EDI)
Github
Data Intelligence
Python
Machine Learning
Microsoft SQL Server
Pentaho Data Integration
Performance Tuning
SQL Databases
Systems Integration
Workflow Management Systems
Enterprise Data Management
Data Storage Technologies
Boomi
Data Lake
Semi-structured Data
Enterprise Integration
Integration Frameworks
Operational Systems
Data Management
Api Design

Job description

The Data & AI Solution Engineer operates within the Data Intelligence team and is responsible for designing, building, and operating enterprise-grade data, integration, and AI-enabling solutions across Flexential. This role extends beyond traditional data engineering to include system-to-system integration using Boomi, orchestration of business-critical workflows, and active participation in the design and delivery of AI-enabled solutions. The role partners closely with enterprise architecture, application teams, and business stakeholders to ensure scalable, secure, and well-governed data and AI foundations. The position adheres to best practices including Agile delivery, solution design documentation, code quality standards, and operational transparency.

Key Responsibilities and Essential Job Functions

Data Acquisition, Integration, and Orchestration

  • Design and implement data and application integrations using Boomi, APIs, and event-driven patterns
  • Build and manage secure, scalable integrations across enterprise platforms including ERP, CRM, operational systems, and data platforms
  • Monitor, troubleshoot, and optimize integration workflows for reliability and performance

Data Engineering and Platform Enablement

  • Extract, transform, and model structured and semi-structured data for analytics and downstream consumption
  • Implement and manage data storage solutions including data lakes, data warehouses, and curated data marts
  • Apply business rules and data quality standards to ensure trusted, fit-for-purpose datasets

AI Solution Design and Enablement

  • Partner with architects, data scientists, and business teams to design solution patterns that support AI and automation use cases
  • Enable AI solutions by engineering clean, well-integrated, and governed data inputs
  • Contribute to solution design for AI-enabled capabilities including automation, decision support, and analytics

Pipeline and Workflow Development

  • Build and manage automated data and integration pipelines delivering consistent outcomes
  • Develop reusable integration and data components across the Agile delivery team
  • Participate in design reviews and code reviews to ensure maintainability and architectural alignment

Collaboration and Delivery

  • Communicate effectively with technical and business stakeholders
  • Manage personal delivery commitments and dependencies
  • Contribute to technical documentation, operational runbooks, and knowledge sharing

Requirements

Do you have experience in SQL?, * Experience working in an Agile delivery environment

  • 3+ years of experience in data engineering, solution engineering, or integration engineering roles
  • Strong SQL development experience in a Microsoft SQL Server environment
  • Hands-on experience with integration platforms such as Pentaho, Boomi or equivalent iPaaS tools
  • Experience working with APIs, data exchange patterns, and workflow orchestration
  • Proficiency with tools such as GitHub, Python, and enterprise data tooling
  • Strong understanding of relational database principles, data modeling, and performance optimization

Preferred Qualifications (Not Required)

  • Experience supporting AI or machine learning use cases
  • Familiarity with enterprise SaaS platforms and operational systems
  • Knowledge of data center operations or billing platforms

Benefits & conditions

Pulled from the full job description

  • AD&D insurance
  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Health savings account
  • Dental insurance, Base Pay Range: Annualized salary range offered for this position is estimated to be $100,000 - $110,000. However, the actual pay range depends on each candidate's experience, location, and qualifications.

Variable Pay: Discretionary annual bonus, based on personal and company performance.

Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today!

Benefits of working at Flexential:

  • Medical, Telehealth, Dental and Vision
  • 401(k)
  • Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA)
  • Life and AD&D
  • Short Term and Long-Term disability
  • Flex Paid Time Off (PTO)
  • Leave of Absence
  • Employee Assistance Program
  • Wellness Program
  • Rewards and Recognition Program

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