Software Engineer - Contingent

Position: Software Engineer 4 - Contingent
Description

Title:

Software Engineer 4 - Contingent

Location:

Charlotte, NC

Duration: 18 months

Work Engagement: W2

Work Schedule:

Hybrid 3 days in office/2 days remote

Benefits on offer for this contract position:
Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.

Strategically collaborate and consult with client personnel.

Required Qualifications:

Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Requirements:

* Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

* Partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.

* Design, prototype, and deliver AI-driven workflows, agents, copilots, and automations using large language models (LLMs) and enterprise AI services.

* Integrate AI capabilities with enterprise platforms and systems (e.g., Service Now, Salesforce, data platforms, internal services) using secure APIs and orchestration patterns.

* Rapidly iterate on prototypes and transition them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability.

* Act as a technical bridge between business, product, data, security, and engineering teams to ensure solutions are usable, compliant, and aligned with business objectives.

* Lead solution architecture and design activities, including:

o Prompt engineering and AI workflow design

o API integration and service orchestration

o Enterprise knowledge and data integration

o Security, privacy, risk, and governance considerations

* Own solutions across the full lifecycle-from concept and proof of value through production deployment and continuous improvement.

* Apply and promote best practices for responsible AI, including model risk management, data protection, and compliance with enterprise and regulatory requirements.

* Contribute to the development of reusable patterns, standards, and guidance to support scalable AI adoption across the enterprise.