Senior AI Engineer — AI & Intelligent Solutions

Senior AI Engineer  — AI & Intelligent Solutions (Remote, but client wants them to go to office atleast 4 days a month)

• 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

• 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

• 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

• 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

• 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

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

• Minimum 6– 8 years of overall experience in software or AI engineering
• Minimum 3 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

• 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

• 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