Consultant AI Engineer at GlobalLogic UK&I, London, 6 Months, £Contract Rate

We are looking for a Senior AI Engineer to lead the engineering and deployment of autonomous agentic workflows. In this role, you will bridge the gap between domain risk experts-who hold deep subject-matter knowledge but limited technical capability-and modern AI infrastructure. You will design, build, and deploy intelligent "AI Change Agents" that integrate directly into developer ecosystems (Git, Jira, Confluence) to perform automated risk assessments, evaluate policy compliance, triangulate text-heavy datasets, and stream live updates to central risk registers.

Job Description

• Hands-on experience building multi-agent systems, complex RAG pipelines, tool-use mechanisms, and multi-step workflows using frameworks such as LangGraph, Pydantic AI, AutoGen, or similar.
• Production-grade Python skills with a strong emphasis on writing clean, modular, testable, and maintainable code.
• Deep experience integrating with enterprise collaboration and CI/CD ecosystems, specifically Git, Jira REST APIs, and Confluence APIs.
• Proven expertise in prompt construction, context window management, vector retrieval strategies, and information routing over large text-heavy datasets.
• Practical experience measuring agent accuracy, evaluating LLM outputs, detecting regressions, and instrumenting tracing/monitoring tools.

Job Responsibilities

• Design and implement robust, multi-step agentic workflows capable of performing automated risk evaluations across large, unstructured text datasets.
• Integrate AI Change Agents seamlessly into toolchains such as Git, Jira, and Confluence to capture workflow changes, perform initial risk assessments, and provide automated feedback loops to engineering teams.
• Collaborate closely with non-technical Operational Risk, Cyber, and Safety stakeholders to translate complex risk frameworks into automated Policy Agents and assessment engines.
• Build automated risk assessment cores that triangulate multi-source unstructured data, dynamically update live risk registers, and generate executive-level reporting.
• Take early-stage AI prototypes and turn them into trusted, high-availability, production-grade solutions with rigorous evaluation and observability frameworks.
• Depending on the pace of delivery, contribute directly to the architectural design of the firm-wide AI layer, ensuring scalability across heterogeneous enterprise stacks.

It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.

We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact (see below)