Forward Deploy Engineer

IBM Consulting careers thrive on long-term client relationships and global collaboration. You’ll partner with leading companies across industries to shape their hybrid cloud and AI journeys, leveraging IBM technology, Red Hat, and strategic partnerships. The role encourages curiosity, innovation, and meaningful change, fostering a culture of growth and empathy that values your unique skills and long-term career development.

Responsibilities

• Act as a strategic partner to clients, ensuring successful adoption and scaling of enterprise-level technology.
• Lead strategic discovery, design, and architect production-ready products tailored to client business needs.
• Define integration architecture and data transformation across end systems, including cross-line-of-business integrations and data pipelines.
• Integrate agent workflows to produce outputs for the SDLC, connecting agents, assets, and assistants across SDLC activities.
• Define data integration pipelines with data mapping to support solution delivery and meet client requirements.

Requirements

• Experience designing and architecting production-ready products embedding Gen AI and Agentic AI capabilities, adhering to security best practices and compliance standards.
• Expertise in defining integration architecture and data transformation across end systems, including cross-line-of-business and data pipeline integrations.
• Experience integrating agents, assets, and assistants across SDLC activities to produce SDLC outputs.
• Experience defining data integration pipelines with data mapping to support solution delivery.
• Proficiency in Gen AI, Agentic AI, advanced Context Engineering, Spec Engineering, and Prompt Engineering to drive accelerated, value-driven delivery.
• Ability to transform business and domain requirements into AI-enabled solutions.
• Understanding of AI applicability in business, IT, and operational flows.

Skills

• Advanced Context Engineering: Experience driving value-driven, accelerated delivery.
• Spec Engineering: Expertise supporting solution delivery and client needs.
• Prompt Engineering: Skills to enhance value-driven, accelerated delivery.