Senior Forward Deployed Engineer

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: —
Posted: 14 days ago
Freshness: Confirmed live yesterday

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How this pay compares to similar roles

Similar $181k

$133k most similar roles pay here $228k

This listing doesn't post a salary. Most similar roles pay $145,500–$216,656.

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 · Senior Forward Deployed Engineer

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As a Senior Forward Deployed Engineer within IBM Consulting, you will join a team focused on helping clients navigate hybrid cloud and AI journeys. You will architect and develop cognitive computing systems that process both structured and unstructured data by leveraging your expertise in NLP, machine learning, and artificial intelligence. Your daily work involves managing the full project lifecycle from research and prototyping to production deployment. To achieve these goals, you will utilize Python, TensorFlow, PyTorch, Keras, SciKit Learn, Pandas, and Matplotlib, alongside tools like GitHub Copilot and Amazon Code Whisperer. You will also work with cloud platforms, NoSQL databases, and modern UI frameworks. The role specifically addresses complex cognitive computing challenges by building production-grade agent orchestrations, MCP architectures, and robust evaluation frameworks to solve intricate business problems through advanced AI innovation.

What does a Forward Deployed Engineer earn?

Median $215000 from 45 postings across 23 companies.

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Skills

Python Artificial Intelligence NLP TensorFlow PyTorch Keras SciKit Learn Pandas Matplotlib LLM GitHub Copilot Amazon Code Whisperer NoSQL Observability Event-driven Systems

What you'll do

Design and deliver AI solutions using foundation models and large language models.
Develop cognitive systems to process and analyze both structured and unstructured data.
Manage the full AI project lifecycle from research and prototyping to production deployment.
Build multi-agent orchestration architectures including tool routing, state management, and human-in-the-loop interactions.
Design MCP servers and tools as an integration backbone for agent systems.
Establish evaluation frameworks including golden datasets, LLM-as-judge, and production monitoring.
Integrate AI agents into enterprise systems of record using Python and event-driven architectures.
Optimize AI systems using libraries like SciKit Learn, Pandas, and Matplotlib on cloud platforms.

What we're looking for

Candidates must possess a Bachelor's Degree.
Candidates must have the ability to work without current or future visa sponsorship.
Expertise in Python, OpenAI API/Codex, and event-driven systems is required.
Experience with AI frameworks including TensorFlow, PyTorch, Keras, SciKit Learn, Pandas, and Matplotlib is required.
Demonstrated leadership in production agent deployments involving orchestration architecture, reliability, and scale is required.
Proficiency in MCP architecture for designing servers and tools as an integration backbone is required.
Leadership experience in output-evaluation frameworks including eval strategy, golden datasets, and guardrails is required.
Experience with cloud platforms, relational/NoSQL databases, and modern UI frameworks is required.

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