Forward Deploy Engineer

IBM

Confirmed live 2 days ago Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
26 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $184k
$126k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $145,575–$222,000.

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 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Forward Deploy Engineer

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. You will lead strategic discovery and architect production-ready products that meet strict security, compliance, performance, and ethical standards. Your daily responsibilities include defining integration architecture and data transformation across various end systems, establishing data pipelines with mapping for seamless delivery, and integrating agent workflows, assets, and assistants across various SDLC activities. To succeed, you must possess expertise in Gen AI and Agentic AI capabilities, as well as skills in Context Engineering, Spec Engineering, and Prompt Engineering. You will also create contextual knowledge maps based on actual customer workflows to inform solution design while solving complex problems related to data pipelines and multi-line business integration.

What you'll do

  • Define integration architecture and data transformation across various end systems and lines of business.
  • Establish data integration pipelines with mapping to facilitate seamless solution delivery.
  • Integrate agent workflows, assets, and assistants across various activities in the software development life cycle.
  • Create contextual knowledge maps based on actual customer workflows to inform solution design.
  • Design and architect production-ready products that incorporate Gen AI and Agentic AI capabilities.
  • Ensure all technical solutions meet strict security, compliance, performance, and ethical standards.
  • Lead strategic discovery sessions with clients to identify requirements for enterprise-level technology adoption.

What we're looking for

  • Experience designing and architecting production-ready products with Gen AI and Agentic AI capabilities.
  • Experience defining integration architecture and data transformation across various end systems and data pipelines.
  • Experience developing data integration pipelines with mapping to facilitate solution delivery.
  • Experience integrating agent workflows, assets, and assistants across SDLC activities.
  • Experience creating contextual knowledge maps based on customer workflows to inform solution design.
  • Advanced AI knowledge including Context Engineering, Spec Engineering, and Prompt Engineering (preferred).
  • Expertise in Agentic SDLC workflows and integrating agents, assets, and assistants (preferred).
  • Bachelor's Degree.

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