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Solution Architect​/Sales Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Decision Engines, Inc.
Full Time position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Consultant, AI Engineer (Applied/Software), Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Client engagements will include business processes in Legal, Finance & Accounting functions such as contract life cycle management, quote-to-cash, invoice processing, finance control, DSO outstanding, accounting journal entries and audit operations. Ideal candidates must, understand and be able to articulate the business value in automating these processes to the Fortune 500. These are high-impact projects with high levels of internal and external visibility.

This is a unique opportunity to change the future of global enterprise businesses operations and anchor the Autonomous Enterprise vision.

KEY RESPONSIBILITIES
  • Collaborate with Solution Leaders to understand customer requirements and with other Decision Engines domain experts, including engineers, product managers, and data scientists
  • Articulate the Decision Engines differentiation and advantages over competitor solutions to customers
  • Design and develop demonstrations and training exercises with the Decision Engines Platform
  • Conduct Decision Engines Platform and application demonstrations and training to both internal and external audiences
  • Deploy the solution to customer environments and maintain them
  • Respond to technical aspects of RFP’s
REQUIRED SKILLS AND EXPERIENCE
  • 5+ years of experience demonstrating software products, presenting technical deep-dives, and technical objection handling
  • Hands-on Experience with Java script, Docker, Deployment scripts
  • Experience with enterprise grade security, high availability and disaster recovery topologies, sizing etc.
  • Experience deploying software on bare metal using Dev Ops tools and scripts.
  • Bachelor of Science in Computer Science, Engineering, MIS, or comparable area of study.
  • Understanding of machine learning concepts, examples, and benefits

    In addition, the following qualifications and experience in, are highly preferred: /li>
  • General knowledge of ERP processes and or, Robotic Process Automation
  • Strong product knowledge and understanding of developer ecosystem
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