AI Engineer

Work with one of the large financial services firms - be a part of global projects6-12 Months contract with a potential to extend on a long-term basis Role SummaryThe role is responsible for designing, building, and deploying enterprise-grade AI and Generative AI solutions, including Large Language Model (LLM)-powered applications, Retrieval-Augmented Generation (RAG) systems, and AI-driven workflows. The successful candidate will be responsible for completing and refining solution designs, participating in architecture governance reviews, supporting solution delivery through deployment, and collaborating with cross-functional teams to deliver scalable and secure AI solutions.Key ResponsibilitiesComplete and refine end-to-end solution designs for AI and Generative AI initiatives.Participate in and present solution designs during architecture and governance review forums (e.g. GSRC, LSRC).Provide technical recommendations on where AI solutions would be more effective than Straight Through Processing (STP) and support key architectural decision-making.Design, build, and deploy enterprise-grade AI and Generative AI solutions.Develop LLM-powered applications, Retrieval-Augmented Generation (RAG) solutions, and agentic AI workflows.Integrate AI solutions with enterprise applications, APIs, and existing technology platforms.Collaborate with Product Owners, Data Engineers, Platform Engineers, Architects, and business stakeholders throughout the delivery lifecycle.Support System Integration Testing (SIT) and User Acceptance Testing (UAT), ensuring solutions meet business and technical requirements.Participate in Change Advisory Board (CAB) activities, release management, deployment planning, and production implementation.Support production deployment, monitoring, troubleshooting, and optimisation of AI solutions.Ensure solution designs align with enterprise architecture, security, governance, and compliance standards.Required Skills & ExperienceProven experience in AI, Machine Learning, Data Engineering, or Software Engineering.Strong Python programming skills.Hands-on experience with Generative AI technologies, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).Experience designing and developing enterprise AI applications.Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).Strong understanding of software engineering principles, REST APIs, system integration, and application architecture.Experience supporting solution delivery across design, build, testing, deployment, and production support.Preferred SkillsExperience with vector databases.Knowledge of MLOps and LLMOps practices.Experience developing agentic AI solutions and AI orchestration frameworks.Experience working within enterprise or regulated environments.Experience participating in architecture governance and design review forums.Understanding of release management processes, including CAB and production deployment.