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Applied ML/AI Solutions Engineer

The Intersect GroupSandy Springs, GA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationSandy Springs, GA, United States
SQLAWSMLOpsDatabricksLLMPythonRESTAzureMachine LearningCI/CDRAG

Job description

JOB TITLE

Applied ML/AI Solutions Engineer

LOCATION

Atlanta, Georgia | Hybrid

ROLE SUMMARY

Design, build, and deploy AI-powered applications, copilots, intelligent assistants, and agent-based solutions that address business challenges and deliver measurable value. Translate business requirements into scalable, production-ready solutions that integrate with enterprise applications, APIs, and operational systems. Partner with data scientists, AI engineers, architects, and business stakeholders to bring AI opportunities into operation.

KEY RESPONSIBILITIES

  • Design, develop, and deploy AI-powered applications, copilots, assistants, and agent-based solutions.
  • Translate business requirements into scalable technical architectures and working solutions.
  • Integrate AI capabilities with enterprise applications, APIs, and operational systems.
  • Deliver solutions that meet standards for performance, reliability, security, and supportability.
  • Define technical designs, evaluate technologies and frameworks, and align solutions with architecture, security, and governance standards.
  • Establish standards for code quality, testing, documentation, and operational readiness.
  • Partner with business, product, and engineering teams while mentoring engineers and sharing technical expertise.

KEY REQUIREMENTS

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, machine learning engineering, AI platform engineering, or related disciplines.
  • Strong proficiency in Python and SQL.
  • Experience developing and deploying production AI applications and enterprise AI/ML platforms.
  • Experience with Azure Databricks and cloud platforms such as Azure or AWS.
  • Experience with enterprise LLM platforms, Retrieval Augmented Generation architectures, vector databases, REST APIs, software testing, and CI/CD.
  • Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring, and production operations.
  • Experience building reusable engineering frameworks, platform services, or shared infrastructure capabilities.

Apply if you are ready to build production-ready AI solutions that solve real business challenges. Our client offers a hybrid opportunity with collaboration across business, technology, and external partner teams.

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