Artificial Intelligence Engineer

Job Description :

We are seeking a highly skilled and experienced Senior AI Engineer / Technical Lead to join our growing AI & Digital Innovation team.

The successful candidate will play a central role in the design and development of enterprise-grade AI solutions, with a focus on building scalable, extensible platforms that support both conversational and transactional AI capabilities across multiple business functions.

This is a hands-on technical role suited to an engineer who combines deep AI implementation experience with the ability to lead technically, influence architecture decisions, and collaborate effectively with cross-functional teams. The ideal candidate is passionate about applied AI, has a strong engineering foundation, and has demonstrated experience delivering AI solutions in complex enterprise environments.

Key Responsibilities :

AI Solution Design & Development :

- Design, develop, and maintain scalable AI solutions that support both conversational (chat-based) and transactional business functions.

- Contribute to the architecture of AI platforms that are modular and extensible, enabling adoption across multiple business units with varying requirements.

- Evaluate and recommend appropriate AI tools, models, frameworks, and platforms based on use case requirements and organisational standards.

- Implement orchestration patterns that coordinate AI agents, models, and workflows in a coherent and reliable manner.

AI Integration & Engineering :

- Build and maintain integrations between AI components and enterprise systems including CRM, ERP, document management, HR platforms, and communication tools.

- Design and implement APIs and integration patterns that enable seamless connectivity between AI capabilities and consuming applications.

- Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and multi-model coordination patterns based on solution requirements.

- Ensure AI solutions are engineered for performance, reliability, and maintainability in production environments.

Conversational & Transactional AI :

- Develop conversational AI capabilities including intelligent chatbots, virtual assistants, and LLM-powered dialogue systems.

- Build transactional AI functions that automate or augment business processes such as document processing, data retrieval, approvals, and workflow automation.

- Support the design of solutions that handle both real-time and batch AI processing depending on the nature of the business use case.

Governance, Security & Responsible AI :

- Apply responsible AI principles throughout the development lifecycle including fairness, transparency, explainability, and data privacy.

- Adhere to and contribute to AI governance practices covering model versioning, monitoring, and auditability.

- Ensure AI solutions are built in compliance with organisational security policies, data handling standards, and relevant regulatory requirements.

- Collaborate with the Information Security team to embed appropriate controls within AI solution design.

Technical Leadership & Collaboration :

- Serve as a technical lead within the AI team, providing guidance and mentorship to junior engineers and developers.

- Work closely with solution architects, business analysts, and product owners to translate business requirements into sound technical designs.

- Participate in design reviews, technical discussions, and proof-of-concept evaluations.

- Contribute to the development of internal standards, engineering guidelines, and reusable AI components.

- Stay current with advancements in the AI space and proactively identify opportunities to apply emerging capabilities within the organisation.

Required Qualifications & Experience :

Education :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical discipline.

Experience :

- Minimum 6-8 years of overall experience in software or AI engineering.

- Minimum 3-4 years of hands-on experience designing and implementing production AI solutions in an enterprise environment.

- Proven experience working on AI platforms or solutions that span conversational and process automation use cases.

- Experience contributing to or leading the technical delivery of AI integration projects involving multiple enterprise systems.

Technical Skills :

- AI & ML Frameworks : LangChain, Semantic Kernel, AutoGen, LlamaIndex, or equivalent AI orchestration frameworks.

- Large Language Models : OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs (LLaMA, Mistral).

- Vector Databases : Pinecone, Weaviate, Azure AI Search, pgvector, or equivalent.

- Cloud (Azure Primary) : Azure OpenAI Service, Azure AI Studio, Azure Bot Services, Azure API Management, Azure Functions, Azure Logic Apps.

- Azure Infrastructure : Azure Kubernetes Service (AKS), Azure Container Apps, Azure Service Bus, Azure Key Vault, Azure Monitor.

- Programming Languages : Python (primary), with working proficiency in at least one of JavaScript, C#, or Java.

- API & Integration : REST API design, event-driven architecture, webhook patterns, API gateway management.

- RAG & Knowledge Retrieval : Retrieval-Augmented Generation (RAG), embedding models, semantic search, knowledge base integration.

- Security & Governance : AI security controls, data privacy compliance, responsible AI principles.

- DevOps & MLOps : CI/CD pipelines, containerisation (Docker, Kubernetes), model versioning, prompt management, and monitoring.

Preferred Qualifications :

- Hands-on experience with the Microsoft Azure AI and integration stack, including Azure AI Studio, Azure Integration Services, and Azure API Management.

- Familiarity with agentic AI design patterns and multi-agent coordination frameworks.

- Experience working in regulated industries such as aviation, finance, healthcare, or government.

- Exposure to enterprise integration platforms such as MuleSoft, Azure Integration Services, or equivalent middleware.

- Microsoft Azure certifications such as Azure AI Engineer Associate (AI-102) or Azure Developer Associate (AZ-204) are an advantage.

- Familiarity with Power Platform (Power Automate, Power Apps) in the context of AI-assisted workflows.

Key Competencies :

- Technical Depth : Strong hands-on engineering capability with the ability to move from concept to working solution.

- Problem Solving : Approaches complex and ambiguous technical challenges in a structured and pragmatic manner.

- Communication : Able to explain technical concepts and decisions clearly to both technical peers and non-technical stakeholders.

- Collaboration : Works well within cross-functional teams and across business units with differing priorities.

- Innovation Mindset : Actively follows developments in the AI space and brings relevant ideas and approaches to the team.

- Ownership : Takes responsibility for the quality and reliability of solutions developed and proactively addresses issues.

- Mentorship : Committed to uplifting team capability through knowledge sharing and hands-on guidance.

Key Skills :

Skills

Artificial Intelligence, Machine Learning, LLM, OpenAI, VectorDB, Python, RAG, Cloud, Azure, Java