AI Deployment Engineer for Enterprise Solutions

Aptean

Alpharetta (GA)

On-site

USD 120,000 - 170,000

Full time

7 days ago
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Job summary

Aptean is seeking an AI Implementation Engineer to join the ASCENT team in Alpharetta. You will design and deploy AI-native solutions addressing strategic business problems across the solution lifecycle, from problem understanding to deployment and ongoing monitoring.

You will work across customers, business analysts, and data integration engineers to build practical AI/NLP systems, leveraging Python, RAG, and LangChain to deliver measurable value.

Qualifications

  • Experience developing and deploying traditional machine learning models and generative AI solutions.
  • Advanced Python skills for scripting, data processing, and model development.
  • Proficiency with generative AI frameworks including RAG, LangGraph, and LangChain.
  • Deep knowledge of retrieval-augmented generation, agentic RAG, GraphRAG, and large language model techniques.
  • Ability to tailor AI and NLP models to business needs and troubleshoot technical issues.

Responsibilities

  • Understand customer business problems and contribute to solution design.
  • Design and implement AI-native solutions using large language models, traditional ML, and software development.
  • Use Python for scripting, data processing, model development, and integration throughout the solution lifecycle.
  • Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases.
  • Deploy solutions, monitor performance, troubleshoot issues, and update them to maintain value.

Skills

Advanced Python
ML model deployment
Troubleshooting
Cross-team collaboration
Technical communication

Tools

LangChain
LangGraph
GraphRAG
Vector databases

Job description

Aptean is seeking an AI Implementation Engineer to join the ASCENT team in Alpharetta. You will design and deploy AI-native solutions addressing strategic business problems across the solution lifecycle, from problem understanding to deployment and ongoing monitoring.

You will work across customers, business analysts, and data integration engineers to build practical AI/NLP systems, leveraging Python, RAG, and LangChain to deliver measurable value.

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