Forward-Deployed AI Solutions Architect

IBM; Raleigh (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

IBM Consulting seeks a Forward Deployed Architect to partner with clients, driving adoption of enterprise AI and hybrid cloud solutions. You will lead strategic discovery, design, and architecture of production-ready products that meet security, compliance, performance, and ethical standards, collaborating closely with clients to deliver value.

The role emphasizes integration architecture, data pipelines, and agent workflows across the SDLC, with a focus on contextual knowledge mapping to inform

Qualifications

• Deep expertise in leading strategic discovery, designing, and architecting production-ready AI-enabled products.
• Experience defining integration architectures and data transformation across end systems.
• Experience with data pipelines and data mapping to enable delivery.
• Experience integrating agent workflows, assets, and assistants across SDLC activities.
• Ability to create contextual knowledge maps from customer workflows to inform design.

Responsibilities

• Define the integration architecture and data transformation across end systems and data pipelines.
• Define a data integration pipeline with data mapping to support solution delivery.
• Integrate agent workflows across SDLC activities to produce outputs.
• Create contextual knowledge maps to inform solution design.
• Lead the design and architecture of production-ready products embedding AI capabilities while meeting security and ethics standards.

Skills

Gen AI

Agentic AI

Integration Architecture

Data Pipeline

SDLC Workflows

Context Knowledge Mapping

Job description

IBM Consulting seeks a Forward Deployed Architect to partner with clients, driving adoption of enterprise AI and hybrid cloud solutions. You will lead strategic discovery, design, and architecture of production-ready products that meet security, compliance, performance, and ethical standards, collaborating closely with clients to deliver value.

The role emphasizes integration architecture, data pipelines, and agent workflows across the SDLC, with a focus on contextual knowledge mapping to inform