AI Forward Deployment Engineer (AI FDE)

Photon; Dublin; On-site; EUR 120,000 - 150,000; Full time

Job summary

Photon seeks an experienced AI Forward Deployment Engineer to design, develop, and deploy production-grade AI/ML solutions in collaboration with customers and internal teams. This role requires a strong mix of software engineering, AI/ML implementation, cloud-native development, and ability to translate business requirements into scalable AI applications.

The ideal candidate is hands-on, architecting solutions while coding, with production deployment experience and ongoing optimization of AI/ML

Qualifications

• 6+ years designing and developing AI/ML applications.
• Strong Python production-grade coding skills.
• Expertise in software architecture and system design.
• Spends 50-70% time coding and implementing solutions.
• End-to-end AI/ML experience: data prep, model integration, deployment.
• Experience with Scikit-learn, TensorFlow, and PyTorch.
• Ability to design scalable AI systems using APIs, microservices, and event-driven architectures.
• Strong data engineering with Pandas and NumPy.
• Experience deploying AI workloads on Azure or AWS.

Responsibilities

• Design, develop, and deploy end-to-end AI/ML applications.
• Translate designs and requirements into production-grade implementations.
• Build AI capabilities into enterprise apps via APIs and modern frameworks.
• Develop scalable AI systems with microservices and cloud-native tech.
• Hands-on implementation across the AI/ML lifecycle: data prep, model integration, deployment.
• Work with structured and unstructured data to build AI-driven solutions.
• Design and optimize AI workloads on Azure or AWS.
• Apply software engineering practices including version control, CI/CD, monitoring and testing.
• Collaborate with customers and teams to prototype, deploy, and improve AI solutions.
• Act as technical owner ensuring reliability and operational readiness.

Skills

Python

AI/ML

Software architecture

CI/CD

DevOps

APIs

Microservices

Cloud platforms

Azure

AWS

Data engineering

Pandas

NumPy

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

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.
• 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: