> Markdown version of [/jobs/ext/4687181-applied-ml-ai-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/4687181-applied-ml-ai-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied ML/AI Solutions Engineer - **Company:** The Intersect Group - **Location:** Sandy Springs, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Testing (Software), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Engineering, Software Quality, Cyber Security, Information Systems, Continuous Integration, Python (Programming Language), Machine Learning, Azure Machine Learning, Requirements Management, Software Engineering, SQL Databases, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, AI Platforms, Information Technology, Deployment Automation, Operational Systems, Machine Learning Operations, Restful APIs, Databricks - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/applied-ml-ai-solutions-engineer-atlanta-ga--7788b93f-0152-403c-9738-91d19118213e ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI), Enterprise Applications, Data Science, Requirements Management, Application Programming Interface (API), Technical/Engineering Design, Security Architecture, Documentation, Mentoring, * 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. ## Description * 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.