Forward Deploy Engineer

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities 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. Your Primary Responsibilities Will Include Defining Integration Architecture: Define the integration architecture and data transformation across various end systems, including defining the integration across different lines of business and data pipelines. Establishing Data Pipelines: Define a data integration pipeline with data mapping to facilitate solution delivery. Integrating Agent Workflows: Perform integration across various agent workflows to produce output for the SDLC, integrating agents, assets, and assistants across various activities. Contextual Knowledge Mapping: Create contextual knowledge maps based on actual customer workflows to inform solution design. Solution Delivery: Lead the design and architecture of production-ready products that embed advanced capabilities and meet security and ethical standards. This role can be performed from anywhere in the United States. Required Technical And Professional Expertise Enterprise Technology Expertise: 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. Integration Architecture: Experience with defining integration architecture and data transformation across various end systems, including integration across different lines of business and data pipelines. Data Pipeline Development: Experience with defining data integration pipelines with data mapping to facilitate solution delivery, ensuring seamless data flow across the solution. Agent Workflow Integration: Experience with integrating agent workflows, assets, and assistants across various SDLC activities to produce output for the SDLC. Contextual Knowledge Mapping: Experience with creating contextual knowledge maps based on actual customer workflows to inform solution design and drive value-driven delivery. Preferred Technical And Professional Experience Advanced AI Knowledge: Deep expertise in Gen AI and Agentic AI capabilities, as well as experience with advanced Context Engineering, Spec Engineering, and Prompt Engineering. Technical Integration Skills: Experience with integration architecture, data transformation, and data pipeline development, including defining integration across various end systems and lines of business. SDLC Workflow Expertise: Experience with Agentic SDLC workflows and integrating agents, assets, and assistants across various SDLC activities to produce output for the SDLC. #J-18808-Ljbffr IBM