AI Solutions Developer Level 6

Overview

We are looking for an AI Solutions Developer to support the design, development, and integration of advanced AI components within modern IT architectures. The ideal candidate has strong experience with AI/ML technologies, hands-on development skills, and the ability to communicate effectively with both technical and business stakeholders.

Key Responsibilities

AI Development & Engineering

• Develop and maintain AI-powered software applications integrating NLP, Machine Learning, and Generative AI.
• Train custom machine learning and deep learning models (including transformer-based architectures) using structured and unstructured data.
• Implement modern MLOps practices to support model training, deployment, monitoring, and versioning.

Architecture & Design

• Design and implement IT architecture for AI solutions using the most appropriate AI components, techniques, and models.
• Apply modern AI methodologies and best practices within enterprise IT environments.
• Ensure proper integration with data pipelines, APIs, services, and enterprise systems.

Technical Collaboration & Communication

• Present solution blueprints to both technical and business audiences.
• Moderate discussions, gather feedback, and translate business needs into technical requirements.
• Support best practices for data, master data, and metadata management.

Required Skills & Expertise

Technical Skills

• Programming: Excellent knowledge of Python and core AI/ML/NLP libraries (pandas, OpenAI, spaCy, PyTorch, TensorFlow, Transformers, scikit-learn, NLTK).
• AI/ML Expertise: Proven experience with advanced AI techniques including LLMs, generative AI, RAG pipelines, agentic workflows (OpenAI, LangChain, CrewAI), function calling, MCP, and traditional ML algorithms.
• Data Engineering: Strong experience with data pipelines, model and metadata versioning, and database integration (SQL and NoSQL such as Elasticsearch, MongoDB, Cassandra).
• Cloud Platforms: Hands-on experience with AWS or Azure for deploying and scaling AI solutions.
• Software Engineering: Practical knowledge of Git workflows, CI/CD, Docker, Kubernetes, and agile methodologies.
• Architecture: Ability to design, document, test, and integrate AI/ML components within service-oriented enterprise architectures.

Desirable

• Knowledge of ethical and legal aspects of AI systems in enterprise or public sector environments.

Languages

• Fluency in English is required (all documentation is in English).

Tools & Methodologies

• MS Teams, IntelliJ, JIRA, Enterprise Architect
• Agile,
• Domain-Driven Architecture
• Test-Driven Development
• Continuous Integration

Seniority Level

This is a Level 6 profile .

• Not required to be very senior.
• A score of 22 points is expected for Level 6, but lower levels (0–6) may also be considered.

Additional Information

• Application deadline for Sword: Friday . Early submission is preferred to allow time for review.
• Onsite requirement: 3 days/week in the office .