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Applied AI​/Context Solutions Engineer

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Granite Solutions Groupe, Inc.
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Applied AI / Context Solutions Engineer
Consultant, AI & Automation About Our Firm

Granite Solutions Groupe provides financial services decision makers with people and solutions that deliver. Our clients count on us to deliver the right talent at the right time to achieve critical business results. We leverage our industry knowledge and passion for client priorities to deliver human capital solutions.

GSG was founded in 1998 as a consulting firm delivering project management and technology solutions for the financial services industry. GSG now has a global presence, with team members deployed across the U.S. at Fortune 1000 companies and high-performing Fintech firms.

High-caliber consultants are the face of GSG at our client organizations and offices. We value the deep relationships we have with our consultants that enable us to place them in roles where their skills will have an immediate impact. The GSG consulting team is comprised of diverse, experienced, driven, and dynamic contributors who excel at getting things done.

About the Opportunity

GSG is seeking an Applied AI / Context Solutions Engineer to support an Agentic Workforce initiative focused on developing practical, reusable, and compliant AI-enabled solutions. This role will take rapidly developed AI-assisted and vibe-coded prototypes and help turn them into production-ready, reusable applications and technical building blocks that can be shared across the organization.

The ideal candidate is a hands-on technical builder who is comfortable working in ambiguity and has experience with modern development practices, AI-assisted development, data structures, semantic search, embeddings, and component-based architecture. The consultant will work closely with business and technology stakeholders to develop lightweight, portable technical patterns while reducing technical debt and dependency on external connectors.

Responsibilities
  • Take AI-assisted, vibe-coded, and rapidly developed prototypes and turn them into production-ready applications, agents, and technical components.
  • Design and develop organized databases, data structures, and lightweight technical patterns that support AI-enabled solutions.
  • Work with semantic search, embeddings, and related AI/context technologies.
  • Develop reusable, component-based solutions that can be shared and expanded across the organization.
  • Explore technical approaches that reduce dependency on external connectors and create more portable solutions.
  • Identify and manage technical debt created through AI-assisted development.
  • Build and refine reusable technical components, patterns, and standards that can be applied across different business use cases.
  • Work within existing design systems and organizational technology standards where applicable.
  • Package technical outputs against known security, compliance, and governance standards and help identify opportunities for pre-approved patterns.
  • Document the technical architecture, components, patterns, and implementation approaches.
  • Partner with business, technology, risk, compliance, and other stakeholders to understand requirements and ensure solutions are practical and scalable.
  • Support the development of a repeatable methodology for building and working with AI.
  • Work effectively in an ambiguous and evolving environment, helping determine the appropriate technical approach as the initiative develops.
Requirements
  • 5+ years of experience in software engineering, application development, AI engineering, solutions engineering, or a related technical field.
  • Hands‑on experience with AI-assisted development and modern software development practices.
  • Experience taking prototypes or proof-of-concepts into production-ready applications or solutions.
  • Experience with database and data structure design.
  • Experience with…
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