Remote AI Architect — Enterprise LLM & Cloud Solutions

IBM; Dallas (TX); Remote; USD 150,000 - 190,000; Full time

Job summary

IBM Consulting seeks an experienced AI Solutions Architect to lead client engagements across regulated industries, delivering scalable enterprise AI platforms. You will architect, deploy, and govern AI systems using leading LLMs and modern AI patterns, collaborating with business leaders, data scientists, and engineers to accelerate measurable impact while upholding security and responsible AI practices.

You will harness technologies across AWS, Azure, and GCP, implement Retrieval-Augmented

Qualifications

• +5 years of experience leading AI solutions.
• Experience deploying AI in regulated industries such as Financial Services, Insurance, Healthcare, or Public Sector.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, vector databases, and cloud-native AI services.
• Prior customer-facing consulting, solution architecture, or forward-deployed engineering experience.

Responsibilities

• Architect, design, and deliver enterprise-scale AI solutions by translating complex business challenges into scalable technical architectures and production-ready implementations.
• Demonstrate hands-on experience with leading Large Language Models (LLMs) such as OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral, and IBM Granite; evaluate, fine-tune, and optimize models for client use cases.
• Lead the design and implementation of modern AI architectures, including Retrieval-Augmented Generation (RAG), AI agents, multi-agent systems, knowledge graphs, vector databases, model routing, and LLMOps/MLOps.
• Collaborate with business stakeholders, data scientists, engineers, and executives to rapidly prototype, deploy, and scale AI solutions with measurable business outcomes.
• Provide technical leadership and governance on emerging AI technologies, cloud platforms (AWS, Azure, GCP), APIs, data platforms, and enterprise adoption.

Skills

AI leadership

Consulting experience

Client-facing

LLM deployment

MLOps

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Vector databases

MCP

Cloud-native AI services

OpenAI GPT

Job description

IBM Consulting seeks an experienced AI Solutions Architect to lead client engagements across regulated industries, delivering scalable enterprise AI platforms. You will architect, deploy, and govern AI systems using leading LLMs and modern AI patterns, collaborating with business leaders, data scientists, and engineers to accelerate measurable impact while upholding security and responsible AI practices.

You will harness technologies across AWS, Azure, and GCP, implement Retrieval-Augmented