Applied ML/AI Solutions Engineer

• 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.

• 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.