Forward Deploy Engineer

IBM

Confirmed live today High trust

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Work type
On-site
Location
Tempe, AZArmonk, NYIrving, TXRaleigh, NCAtlanta, GALos Angeles, CASan Jose, CASanta Clara, CADallas, TXSan Francisco, CAHerndon, VACambridge, MAChicago, ILNew York, NY
Posted
3 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $184k
$143k $234k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $152,000–$216,262.

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 231 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 · Forward Deploy Engineer

As a Forward Deploy Engineer within IBM Consulting, you will serve as a strategic partner to clients to ensure the successful adoption and scaling of enterprise-level technology. Your daily responsibilities include leading strategic discovery, designing production-ready products, and defining integration architecture and data transformation across various end systems and data pipelines. You will perform agent workflow integration to produce output for the SDLC and define data mapping to meet specific client needs. The role requires technical expertise in Gen AI, Agentic AI, advanced Context Engineering, Spec Engineering, and Prompt Engineering. You must be able to transform business and domain requirements into AI-enabled solutions while ensuring security best practices and compliance standards are met across various business, IT, and operational flows.

What you'll do

  • Define integration architecture and data transformation across various end systems and lines of business.
  • Design and architect production-ready products that embed Gen AI and Agentic AI capabilities.
  • Integrate agents, assets, and assistants across various software development life cycle activities.
  • Define data integration pipelines with specific data mapping to support solution delivery.
  • Transform business and domain requirements into AI-enabled solutions.
  • Lead strategic discovery and solution delivery to ensure successful adoption of enterprise technology.
  • Apply advanced context engineering, spec engineering, and prompt engineering to accelerate delivery.

What we're looking for

  • Experience designing and architecting production-ready products embedding Gen AI and Agentic AI capabilities while meeting security and compliance standards.
  • Experience defining integration architecture and data transformation across various end systems, lines of business, and data pipelines.
  • Experience integrating agents, assets, and assistants across various SDLC activities to produce output.
  • Experience defining data integration pipelines with data mapping to support solution delivery and meet client needs.
  • Experience with Gen AI, Agentic AI, advanced Context Engineering, Spec Engineering, and Prompt Engineering to drive accelerated delivery.
  • Ability to transform business and domain requirements into AI-enabled solutions.
  • Understanding of AI applicability into business, IT, and operational flows.
  • Bachelor's Degree.

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