Senior AI Integrations Architect for Enterprise Impact

IBM; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

IBM Consulting is seeking a Senior AI Architect - Enterprise Integrations to drive AI journeys for clients across industries, leading the delivery of AI integration engagements and shaping offerings with thought leadership.

This client-facing role requires deep MCP/LLM expertise and the ability to translate complex requirements into scalable architectures while mentoring teams to success. Remote across the US with focus on security, reliability, and cost-aware design.

Qualifications

• 8+ years of experience in application or solution architecture.
• At least 2+ years focused on AI/ML systems.
• Hands-on experience designing and building MCP servers.
• Proven experience integrating AI agents with enterprise systems and workflows.
• Strong knowledge of API design and enterprise integration patterns.

Responsibilities

• Lead discovery, design, and architecture sessions with clients to define AI integration strategies.
• Translate complex business requirements into scalable, secure, and maintainable AI-powered solutions.
• Provide cloud and LLM consumption cost estimates, optimizing for cost-efficient architecture.
• Present architectural recommendations to executives and technical stakeholders with clarity.
• Lead cross-functional development teams to deliver enterprise-grade AI solutions with operational excellence.

Skills

AI integration

Python

TypeScript/JavaScript

REST/GraphQL

LangChain/LangGraph

MCP servers

Consulting experience

Cloud architectures

Security & reliability

Tools

LangChain

LangGraph

AutoGen

CrewAI

MCP servers

REST

GraphQL

Azure

AWS

GCP

MuleSoft

Boomi

Job description

IBM Consulting is seeking a Senior AI Architect - Enterprise Integrations to drive AI journeys for clients across industries, leading the delivery of AI integration engagements and shaping offerings with thought leadership.

This client-facing role requires deep MCP/LLM expertise and the ability to translate complex requirements into scalable architectures while mentoring teams to success. Remote across the US with focus on security, reliability, and cost-aware design.