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.
