Forward Deploy Engineer

About the role

As a Forward Deployed Architect, you will serve as a strategic partner to clients, ensuring the successful adoption and scaling of enterprise-level technology. This role involves leading strategic discovery, designing, and architecting production-ready products that meet security, compliance, performance, and ethical standards, while collaborating with clients to deliver solutions. This role can be performed from anywhere in the United States.

Responsibilities

• Define the integration architecture and data transformation across various end systems, including defining the integration across different lines of business and data pipelines.
• Establish data integration pipelines with data mapping to facilitate solution delivery.
• Perform integration across various agent workflows to produce output for the SDLC, integrating agents, assets, and assistants across various activities.
• Create contextual knowledge maps based on actual customer workflows to inform solution design.
• Lead the design and architecture of production-ready products that embed advanced capabilities and meet security and ethical standards.

Requirements

• Deep expertise in leading strategic discovery, designing, and architecting production-ready products that embed Gen AI and Agentic AI capabilities, meeting security best practices, compliance, performance, and ethical standards.
• Experience with defining integration architecture and data transformation across various end systems, including integration across different lines of business and data pipelines.
• Experience with defining data integration pipelines with data mapping to facilitate solution delivery, ensuring seamless data flow across the solution.
• Experience with integrating agent workflows, assets, and assistants across various SDLC activities to produce output for the SDLC.
• Experience with creating contextual knowledge maps based on actual customer workflows to inform solution design and drive value-driven delivery.

Preferred Qualifications

• Deep expertise in Gen AI and Agentic AI capabilities, as well as experience with advanced Context Engineering, Spec Engineering, and Prompt Engineering.
• Experience with integration architecture, data transformation, and data pipeline development, including defining integration across various end systems and lines of business.
• Experience with Agentic SDLC workflows and integrating agents, assets, and assistants across various SDLC activities to produce output for the SDLC.