Software Engineer 4
Posted
Software Engineer 4
Location: Charlotte, NC -Hybrid
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., ServiceNow, 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 lifecyclefrom 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.
Location: Charlotte, NC -Hybrid
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., ServiceNow, 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 lifecyclefrom 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.
