Forward Deploy Engineer

IBM

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
18 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.

Employer

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

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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, design production-ready products, and collaborate with clients to meet specific business needs through solution delivery. Your daily responsibilities include designing integration architectures for data transformation across various end systems, defining data pipelines with mapping to support delivery, and integrating agent workflows, assets, and assistants across various SDLC activities. To succeed, you must possess expertise in Gen AI, Agentic AI, advanced Context Engineering, Spec Engineering, and Prompt Engineering. You will be responsible for transforming business and domain requirements into AI-enabled solutions while navigating the complexities of AI applicability within business, IT, and operational flows to drive value-driven accelerated delivery.

Skills

Gen AI Agentic AI Prompt Engineering Context Engineering Spec Engineering Data Pipelines Integration Architecture SDLC Hybrid Cloud Red Hat Cloud

What you'll do

  • Design integration architectures and data transformations across various end systems and lines of business.
  • Define data integration pipelines with specific mapping to support solution delivery and meet client needs.
  • Integrate agent workflows, assets, and assistants across various software development life cycle activities.
  • Architect production-ready products that embed Generative AI and Agentic AI capabilities while meeting security standards.
  • Transform complex business and domain requirements into actionable, AI-enabled solutions.
  • Apply advanced Context Engineering, Spec Engineering, and Prompt Engineering to accelerate delivery.
  • Analyze the applicability of AI within business, IT, and operational flows.

What we're looking for

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

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