Senior Forward Deployed Engineer, AI

IBM

Confirmed live yesterday High trust

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On-site
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Posted
2 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $190k
$133k $239k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,375–$229,106.

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 242 open roles on FindRole.

Listed pay typically runs $180,812–$215,000 across 9 roles with salary data.

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At a glance

TL;DR · Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer – AI, you will work directly with clients to transform complex business challenges into production-ready AI solutions. You will partner with business and technical teams to identify opportunities, define use cases, and establish success metrics. Your daily responsibilities include developing end-to-end GenAI, RAG, and agentic AI applications while integrating solutions with enterprise systems, APIs, and data platforms. You will design LLM-powered agents, tool use, and orchestration using LangGraph, CrewAI, Vertex AI, Azure AI Foundry, and Amazon Bedrock. You must apply MLOps, LLMOps, prompt engineering, and evaluation frameworks to ensure accuracy and safety. This role requires expertise in software engineering, data science, and advanced analytics to build reliable, secure, and scalable AI systems that deliver measurable business value.

What does a Forward Deployed Engineer earn?

Median $208800 from 49 postings across 21 companies.

See salary data

What you'll do

  • Identify AI use cases and success metrics by partnering with client business and technical teams.
  • Develop end-to-end GenAI, RAG, and agentic AI applications using LangGraph, CrewAI, and hyperscaler cloud platforms.
  • Design and implement LLM-powered agents featuring tool use, orchestration, and prompt engineering.
  • Build evaluation frameworks to ensure accuracy, safety, and reliability using guardrails and observability.
  • Prepare structured and unstructured data and integrate AI solutions with enterprise systems and APIs.
  • Apply MLOps/LLMOps practices to monitor, test, and operationalize AI solutions for production environments.
  • Present insights and demonstrate outcomes to support client adoption and create reusable assets.

What we're looking for

  • Develop end-to-end GenAI, RAG, and agentic AI applications using tools like LangGraph and CrewAI.
  • Design and implement LLM-powered agents, tool use, prompt engineering, and evaluation frameworks.
  • Utilize hyperscaler cloud AI platforms such as AWS, Google Cloud, or Azure.
  • Apply MLOps/LLMOps, testing, monitoring, and responsible AI practices to ensure production-ready solutions.
  • Prepare structured and unstructured data and integrate AI solutions with enterprise systems and APIs.
  • Partner with business and technical teams to identify AI use cases and establish success metrics.
  • Present insights and demonstrate outcomes to support client adoption of AI solutions.

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