Forward Deployed Architect

IBM

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Charlotte, NCDallas, TXNew York, NY
Posted
21 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $199k
$136k $263k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,843–$234,925.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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At a glance

TL;DR · Forward Deployed Architect

The Forward Deployed Architect will architect, design, and deliver enterprise-scale AI and agentic solutions by working directly with clients to translate complex business challenges into scalable technical architectures and production-ready implementations. This role involves leading the design and implementation of modern AI architectures including Retrieval-Augmented Generation, AI agents, multi-agent systems, knowledge graphs, vector databases, model routing, and LLMOps or MLOps frameworks. You will demonstrate hands-on experience with Large Language Models such as OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral, and IBM Granite to evaluate, fine-tune, and optimize models. You will collaborate with stakeholders to prototype solutions across operations, customer experience, risk, and compliance functions while providing technical leadership on cloud platforms like AWS, Azure, and GCP, APIs, and data platforms.

What you'll do

  • Architect and deliver enterprise-scale AI and agentic solutions based on client business challenges.
  • Evaluate, fine-tune, orchestrate, and optimize various Large Language Models for specific use cases.
  • Design and implement RAG, multi-agent systems, knowledge graphs, and vector databases.
  • Build and manage LLMOps and MLOps frameworks for production-ready AI implementations.
  • Rapidly prototype and scale AI solutions to improve operations, customer experience, risk, and compliance.
  • Establish best practices for AI security, governance, and responsible AI adoption.
  • Provide technical leadership on cloud platforms, APIs, and data platform integration patterns.

What we're looking for

  • Architect and deliver enterprise-scale AI and agentic solutions by translating business challenges into scalable technical architectures.
  • Demonstrate deep hands-on experience evaluating, fine-tuning, orchestrating, and optimizing leading LLMs like GPT, Claude, Gemini, Llama, Mistral, and Granite.
  • Lead the design and implementation of RAG, AI agents, multi-agent systems, knowledge graphs, vector databases, and LLMOps/MLOps frameworks.
  • Collaborate with stakeholders and engineers to prototype, deploy, and scale AI solutions for operations, customer experience, risk, and compliance.
  • Provide technical leadership on cloud platforms (AWS, Azure, GCP), APIs, data platforms, and integration patterns.
  • Establish best practices for AI security, governance, responsible AI, and enterprise adoption.

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