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Job details

AI Deployment Engineer

We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with Fortune 500 and enterprise clients across various industries.

Role Overview:

You will integrate large language models into enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the Stack AI platform, you'll also partner with clients to co-design solutions for emerging needs.

Responsibilities:

  • Optimize and support solutions within strategic accounts on the Stack AI platform.

  • Map requirements and relationships within target enterprise customer offices.

  • Pursue opportunities and provide feedback on our go-to-market strategy.

  • Forecast and close high-value opportunities.

  • Write proposals, pitch stakeholders, and lead product demos.

  • Evangelize Stack AI at enterprise events.

Requirements:

  • 3+ years of experience in data science, software development, or generative AI.

  • Experience with strategic enterprise accounts, preferably Fortune 500.

  • Expertise in AI/ML, RAG pipelines, LLM workflows, or large analytic programs.

  • Eagerness to build a business in a fast-paced environment.

  • Ability to travel 10-20% of the time.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$110000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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TEAM SIZE
No info
HQ LOCATION
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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
June 29, 2025

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