AI-Driven Enterprise Apps Architect

IBM; Paramus (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

IBM Consulting seeks an Application Architect for AI Integration to design and govern end-to-end architectures that embed AI into enterprise applications and workflows. You will translate business objectives into scalable designs, balancing vendor-managed services with custom development and driving governance for AI integration.

Lead architecture decisions in a cross-functional environment, ensuring security, compliance, and cost objectives are met while advancing governance and observability

Qualifications

• 12+ years of enterprise application architecture experience, with at least 3 years in a lead or principal architect role
• Experience with microservices, event-driven architectures, and API-first design at scale
• AWS cloud architecture depth (EKS, RDS/Aurora, API Gateway, Lambda, SQS/SNS, MSK) and AI/ML services
• Data architecture including OLTP/OLAP, real-time vs. batch pipelines, and data governance

Responsibilities

• Designing and governing end-to-end architectures embedding AI capabilities into enterprise applications
• Collaborating with stakeholders to translate business objectives into scalable designs while balancing vendor-managed services and custom development
• Governing AI integration including prompts, guardrails, observability, and lifecycle management

Skills

Enterprise architecture

Microservices/API-first

AWS cloud architecture

Data architecture

AI integration

Regulatory compliance

Technical leadership

Tools

LangChain

LlamaIndex

Bedrock/SageMaker

Kubernetes

Kafka

Job description

IBM Consulting seeks an Application Architect for AI Integration to design and govern end-to-end architectures that embed AI into enterprise applications and workflows. You will translate business objectives into scalable designs, balancing vendor-managed services with custom development and driving governance for AI integration.

Lead architecture decisions in a cross-functional environment, ensuring security, compliance, and cost objectives are met while advancing governance and observability