AI-Integrated Enterprise Application Architect

IBM; Raleigh (NC); On-site; USD 150,000 - 210,000; Full time

Job summary

IBM Consulting in the United States seeks an Application Architect for AI Integration to design end-to-end architectures that embed AI into enterprise apps and workflows. You will balance vendor-managed services with custom development while driving governance for AI integration.

You will translate business goals into scalable patterns, collaborate with stakeholders, and lead architecture decisions across cross-domain teams in a fast-paced, regulated environment.

Qualifications

• 12+ years of enterprise application architecture experience.
• Proven experience defining microservices, event‑driven (Kafka/SQS/EventBridge), and API‑first architectures at scale.
• AWS cloud architecture (Solutions Architect Professional or equivalent depth) — EKS, RDS/Aurora, API Gateway, Lambda, SQS/SNS, MSK, and AI/ML services (Bedrock, SageMaker)
• Data architecture experience — OLTP/OLAP separation, CDC patterns, data domain ownership, real-time vs. batch pipeline design

Responsibilities

• Designing architectures: defining reference patterns for AI services, models, and orchestration layers to integrate seamlessly with existing systems, APIs, and data platforms.
• Collaborating with Stakeholders: translating business objectives into scalable, resilient, and policy‑compliant designs, ensuring performance, security, compliance, and cost objectives are met.
• Governing AI Integration: driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations.

Skills

Enterprise architecture leadership

Cross-domain architecture

AI integration design

Regulatory/compliance awareness

Mentoring engineers

Tools

Kafka

SQS

EventBridge

LangChain

LlamaIndex

Bedrock

SageMaker

EKS

RDS

Aurora

API Gateway

Lambda

SQS/SNS

MSK

Job description

IBM Consulting in the United States seeks an Application Architect for AI Integration to design end-to-end architectures that embed AI into enterprise apps and workflows. You will balance vendor-managed services with custom development while driving governance for AI integration.

You will translate business goals into scalable patterns, collaborate with stakeholders, and lead architecture decisions across cross-domain teams in a fast-paced, regulated environment.