Software AI Engineer

We are looking for a hands-on Software AI Engineer to design, build and support production-grade AI agent solutions for one of our Financial Services clients. You will develop Python services, agent orchestration, secure integrations and retrieval pipelines, while contributing to cloud-native delivery, testing, observability and operational stability. The role suits an engineer with strong software fundamentals and practical experience building LLM-based applications in an enterprise environment. Preferably from a Financial Services background.,

• Develop and support AI agent components, orchestration logic and workflow automation.
• Build and maintain MCP servers enabling secure access to enterprise data sources.
• Develop, review and troubleshoot high-quality Python production code.
• Build retrieval pipelines for enterprise content with traceable citations and source attribution.
• Develop Databricks data pipelines and feature engineering workflows for AI solutions.
• Support MLOps processes, including model training, testing and production deployment.
• Build user-facing Copilot experiences and human-in-the-loop review workflows.
• Create evaluation frameworks, testing suites and observability for AI services.
• Leverage AI-assisted development tools to enhance code quality, productivity and security.
• Identify and automate recurring issues to improve platform stability and operational efficiency., 1. Deliver a secure, scalable copilot capability that orchestrates agent-based workflows across enterprise systems and supports controlled user interaction.
2. Build the data and machine-learning foundations that enable the copilot to provide grounded answers and intelligent recommendations. 3. Establish the engineering controls required to make AI agents reliable, measurable and safe for production use


• > 4 years software engineering experience, including system design, application development, testing and production support, preferable from Financial Services background.
• Strong Python skills plus experience in at least one of Java, TypeScript or SQL; confident reviewing, debugging and improving production code.
• Practical experience building LLM applications using prompting, tool calling, retrieval-augmented generation (RAG) and evaluation techniques.
• Experience building and consuming APIs and event-driven services, with secure integration of enterprise data sources.
• AWS engineering experience including containers, Kubernetes, CI/CD, application resilience and security.
• Experience with Apache Spark or similar data-processing frameworks and large structured datasets.
• Sound judgement when using AI-assisted development tools, including validation of outputs for correctness, performance, security and data sensitivity.
• Experience with MCP servers, agent orchestration, task queues, Databricks, OpenTelemetry or AG-UI.
  
  As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (PSCs). All Associates must contract under PAYE arrangements through a Deloitte approved Employment Company (aka umbrella company). All Associates are employed by Employment Companies and assigned to work for Deloitte (as the client). When working for Deloitte, associates are required to comply with certain Deloitte policies. The employment company is responsible for the associates' employment, pay and administrative functions.