Remote Enterprise AI Context Engineer

Jobgether

United States

Remote

USD 150,000 - 190,000

Full time

32 hours ago
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Benefits offered by this job

Remote work

Job summary

Jobgether is seeking an Agentic Context Engineer in the United States to lead enterprise AI initiatives, architect context models, and guide customers from discovery through production deployment. The role blends technical pre-sales, customer-facing engineering, and post-sales delivery with ownership of outcomes across the customer journey.

You will collaborate with Sales, Product, and Engineering to translate requirements into scalable platform improvements, leveraging Generative AI concepts

Qualifications

  • 10+ years in enterprise data, AI/ML, solutions engineering, or technical consulting.
  • Experience across both pre-sales and post-sales technical engagements.
  • Strong data architecture, data modeling, and scalable AI solutions.

Responsibilities

  • Lead technical pre-sales engagements with Sales and customer workshops.
  • Translate business challenges into AI/analytics use cases with business impact.
  • Own post-sales implementation from deal closure to first production deployment.
  • Design scalable context and semantic models, agentic workflows, and integrations.
  • Collaborate with data, IT, and security teams to resolve governance and security challenges.
  • Develop reusable engineering assets to improve delivery efficiency.
  • Translate customer requirements into platform improvements with Product/Engineering.

Skills

Enterprise data
AI/ML
Solutions engineering
Pre-sales
Post-sales
SQL
Python
Generative AI
RAG
Data governance

Education

Bachelor's or Master's degree in Engineering or Data

Tools

Cloud platforms (AWS/Azure/GCP)
SQL-based data warehouses

Job description

Jobgether is seeking an Agentic Context Engineer in the United States to lead enterprise AI initiatives, architect context models, and guide customers from discovery through production deployment. The role blends technical pre-sales, customer-facing engineering, and post-sales delivery with ownership of outcomes across the customer journey.

You will collaborate with Sales, Product, and Engineering to translate requirements into scalable platform improvements, leveraging Generative AI concepts

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