AI Forward Deployment Engineer (AI FDE)

Role Overview

We are seeking an experienced AI Forward Deployment Engineer (AI FDE) to design, develop, and deploy production-grade AI/ML solutions in collaboration with customers and internal engineering teams. This role requires a strong combination of software engineering expertise, AI/ML implementation experience, cloud-native development skills, and the ability to translate complex business requirements into scalable, real-world AI applications.

The ideal candidate is a hands-on technical expert who thrives in fast-paced environments, can architect solutions while remaining deeply involved in coding, and has experience taking AI/ML systems from concept through production deployment and ongoing optimization.

Key Responsibilities

• Design, develop, and deploy end-to-end AI/ML applications that solve complex business problems.
• Translate architectural designs and technical requirements into scalable, production-ready implementations.
• Build and integrate AI/ML capabilities into enterprise applications using modern frameworks, APIs, and software engineering practices.
• Develop scalable AI systems leveraging microservices, APIs, event-driven architectures, and cloud-native technologies.
• Perform hands-on implementation across the AI/ML lifecycle, including data preparation, model integration, application development, deployment, debugging, and optimization.
• Work with structured and unstructured data sources to build robust AI-driven solutions.
• Design, implement, and optimize AI workloads on cloud platforms such as Azure or AWS.
• Apply strong software engineering practices including version control, CI/CD, monitoring, logging, testing, and production support.
• Collaborate with customers, product teams, and engineering teams to rapidly prototype, deploy, and improve AI solutions.
• Act as a technical owner for assigned solutions, ensuring reliability, scalability, and operational readiness.

Required Qualifications

• 6+ years of professional experience in designing and developing AI/ML applications (maximum 15+ years overall experience).
• Strong hands-on programming experience in Python with the ability to design and implement production-grade solutions.
• Experience with JavaScript/Node.js or .NET/C# is a plus.
• Proven experience in software architecture and system design, with the ability to translate concepts into working code.
• Strong hands-on development mindset, with the expectation of spending 50–70% of time coding and implementing solutions.
• Practical experience building AI/ML solutions end-to-end, including:
• Data preparation and processing
• Model integration and evaluation
• Application development and deployment
• Production troubleshooting and optimization
• Experience with AI/ML frameworks such as Scikit-learn, TensorFlow, and/or PyTorch.
• Experience designing and building scalable AI systems using APIs, microservices, and event-driven architectures.
• Strong data engineering skills with hands-on experience using Pandas, NumPy, and working with structured and unstructured datasets.
• Experience deploying and supporting AI workloads in cloud environments such as Microsoft Azure or AWS.
• Strong understanding of DevOps and production engineering practices, including:
• Git-based development workflows
• CI/CD pipelines
• Logging and monitoring
• Application performance tuning
• Production support and debugging