AI Engineer

• Work with one of the large financial services firms - be a part of global projects
• 6-12 Months contract with a potential to extend on a long-term basis

Role Summary

The 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 Responsibilities

• Complete 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 & Experience

• Proven 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 Skills

• Experience 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.