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 work as a strategic partner to clients to ensure the successful adoption and scaling of enterprise‑level technology. This role involves leading strategic discovery, designing and architecting production‑ready products, and collaborating with clients to meet their business needs through solution delivery. Your Primary Responsibilities Integration Architecture Design: Define the integration architecture and data transformation across various end systems, including defining the integration across different lines of business and data pipelines. Agent Workflow Integration: Perform integration across various agent workflows to produce output for the SDLC, and integrate agents, assets, and assistants across various SDLC activities. Data Pipeline Definition: Define a data integration pipeline with data mapping to support solution delivery and meet client needs. This role can be performed from anywhere in the US. Required Technical And Professional Expertise Technical Architecture: Experience with designing and architecting production‑ready products that embed Gen AI and Agentic AI capabilities, meeting security best practices and compliance standards. Integration Expertise: Experience with defining integration architecture and data transformation across various end systems, including integration across different lines of business and data pipelines. Agent Integration: Experience with integrating agents, assets, and assistants across various SDLC activities to produce output for the SDLC. Data Pipeline: Experience with defining data integration pipelines with data mapping to support solution delivery and meet client needs. AI Capabilities: Experience with Gen AI, Agentic AI, advanced Context Engineering, Spec Engineering, and Prompt Engineering to drive value‑driven accelerated delivery. Preferred Technical And Professional Experience Advanced Context Engineering: Experience with advanced Context Engineering to drive value‑driven accelerated delivery. Spec Engineering Expertise: Experience with Spec Engineering to support solution delivery and meet client needs. Prompt Engineering Skills: Experience with Prompt Engineering to drive value‑driven accelerated delivery. #J-18808-Ljbffr IBM