My Financial Services client is seeking to recruit a AI Security & Compliance Engineer/Specialist on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will ensure the secure, ethical, and compliant development of AI solutions across the … organisation. This role is central to embedding security, privacy, and regulatory controls into the design and engineering of AI products-including Microsoft Copilot, custom AIagents, and broader generative AI applications. You will work closely with engineering, architecture, legal, security and risk teams to define and implement controls across the AI … regulatory compliance. Accountabilities & Responsibilities Secure AI Engineering & Design Collaboration Partner with engineering teams to embed security-by-design and privacy-by-design principles into AIagents, copilots, and automation workflows. Define and implement technical controls for: Data access and protection Model transparency and explainability Human oversight and fallback mechanisms Audit logging and traceability AIMore ❯
My Financial Services client is seeking to recruit a Microsoft Power Platform/AgenticAI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will lead the development of intelligent, enterprise-grade AI solutions using Microsoft's low-code ecosystem. This role focuses … on building Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and Azure AI services. You will design and orchestrate agentic workflows that automate high-value tasks across banking functions such as compliance, risk, and document processing-while ensuring alignment with cybersecurity, data governance, and regulatory … frameworks (e.g., EU AI Act, FCA guidance). Accountabilities & Responsibilities Power Platform & Copilot Studio Development Design and build conversational agents using Microsoft Copilot Studio. Develop Power Automate flows triggered by AIagents or business events. Create Power Apps frontends integrated with GenAI services and enterprise data. Build and manage custom connectors to internal APIs More ❯
lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and … to support auditability and prevent data leakage Integrate MCP with enterprise IAM and data governance frameworks to ensure compliant context injection and revocation Agentic Workflows Design and orchestrate agenticAI workflows using modular, goal-driven agents with memory, planning, and tool-use capabilities Implement secure agent execution environments with task decomposition, tool chaining, and feedback loops Integrate … agents with enterprise systems (e.g., document stores, APIs, risk engines) while enforcing contextual integrity, rate limiting, and audit logging Apply agentic patterns to automate complex financial tasks such as client onboarding, document summarisation, and risk signal extraction Security Tooling Static code analysis (Bandit, SonarQube) Secrets scanning, encryption (at rest/in-transit), token management Identity integration (Google Identity, Azure More ❯
Key Responsibilities · Design, develop, and deploy LangGraph-based agentic systems that orchestrate LLM-driven tools and workflows. · Build and integrate modular AIagents capable of real-world task execution in cloud-native environments. · Utilize AWS services such as Lambda, Step Functions, Bedrock, S3, ECS/Fargate, DynamoDB, and API Gateway to support scalable, serverless infrastructure. · Write production … and Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Minimum Requirements · 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development. · Proven track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying … Familiarity with secure cloud development practices and IAM role design. · Understanding of LLM fine-tuning, embeddings, vector stores (e.g., Pinecone, FAISS, OpenSearch). · Exposure to contact centre automation, conversational agents, or RAG pipelines. Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in More ❯
