Artificial Intelligence Developer

AI Developer

     

 

Role Summary

The AI Developer is responsible for building AI-enabled solutions that create value for the business and our customers. This role takes concepts from the early discovery and pre-study phases and transforms them into working prototypes, proofs of concept (PoCs), and production-grade components.

The AI Developer combines solid software engineering skills with practical experience integrating AI APIs, orchestration frameworks, retrieval pipelines, and cloud services. The ideal candidate is hands-on, curious, and collaborative, able to iterate quickly and work closely with architects and business teams.

 

Key Responsibilities

• Design & build AI-enabled solutions: develop AI-based applications, microservices, and reusable components.
• Implement generative AI patterns: build prompt flows, LLM orchestration, agent frameworks, and retrieval-augmented generation (RAG) pipelines.
• Develop PoCs, prototypes & experiments: transform concepts into working PoCs, validate feasibility and value, and iterate rapidly based on business and architectural feedback.
• Align with solution architecture & standards: follow patterns defined by the AI Architect; reuse shared capabilities such as vector databases and orchestrators; align with enterprise architecture and cloud strategy.
• Integrate cloud AI services and partner solutions: work with services such as Azure AI Foundry, AWS Bedrock, and vendor APIs; optimize prompts, model selection, and response handling.
• Ensure governance, security & responsible AI: implement data protection and security controls; support required documentation and risk assessment; build guardrails to ensure safe AI behaviour.
• Collaborate across the delivery lifecycle: work with the AI Use Case Lead, AI Architect, business teams, and internal AI programs to support smooth transitions from PoC to scaled delivery.
• Continuous learning & knowledge sharing: stay current on emerging AI frameworks/tools and contribute to best practices.

 

Qualifications

Must Have:

• Strong software engineering background (Python, C#, JavaScript/TypeScript).
• Experience building cloud-based applications (Azure, AWS, etc.).
• Hands-on experience using AI APIs (OpenAI, Azure OpenAI, Claude, etc.).
• Understanding of RAG, embeddings, vector search, and LLM integration patterns.
• Experience with APIs, microservices, and DevOps practices.

Nice to Have:

• Experience with orchestration frameworks such as LangChain or Semantic Kernel.
• Familiarity with CI/CD pipelines and MLOps practices.
• Frontend experience for demo UI development.
• Experience with Docker and cloud-native toolsets.

 

Personal Characteristics

• Hands-on, curious, and eager to build and experiment.
• Pragmatic problem-solver with strong iteration skills.
• Collaborative and comfortable working with cross-functional teams.
• Strong communicator capable of simplifying technical topics.
• Adaptive and excited by learning new technologies.

 

We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. 

As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

Experience Level

Senior Level