6 of 6 Vertex AI Jobs in the Thames Valley

customers, as well as delivering social value to the UK with our products and services. We are seeking an experienced and innovative AI Technical Lead to drive the design, development and deployment of AI-powered solutions across the organisation. The successful candidate will lead technical delivery … AI initiatives, establish best practices, provide technical leadership to engineering teams, and ensure AI solutions are secure, scalable, ethical and aligned to business objectives. This role combines hands-on technical expertise with leadership, stakeholder engagement and strategic thinking to accelerate business value through artificial intelligence. Location ...

vendor-specific APIs. Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging. Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI … Azure certification. Cisco, Juniper, Nokia, or Ericsson automation-related certifications. TM Forum Open API certification. Nice-to-Have Qualifications Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms. Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks. Experience with ServiceNow, Netcracker ...

This major international organisation is seeking an AI/ML Security Architect to support the secure adoption of Generative and Agentic AI across their complex enterprise environment. As AI/ML Security Architect, you’ll provide security architecture and design authority across AI … with engineering, cloud and security teams to define practical controls and secure-by-design patterns. This will include areas such as LLMs, RAG, AI agents, vector databases, prompt injection, data leakage, identity, tool/API integration and AI threat modelling, alongside broader cloud and enterprise security ...

state data architecture and technology roadmap Support the development of data governance frameworks and target operating models Contribute to data ontology design for AI and analytics use cases Produce architecture diagrams, inventories, assessments and roadmap documentation Work directly with senior client stakeholders to drive alignment and sign … data quality Experience assessing complex enterprise data estates and defining target-state architectures Strong Python skills, with experience using Python and LLMs/AI Excellent stakeholder engagement and communication skills Previous client-facing consulting/advisory experience at Data Architect, Data Analyst, DBA or similar level Experience within ...

engagement, interviewing, and documentation skills (architecture diagrams, inventories, roadmaps) Good‐to‐Have Experience with GCP ecosystem tools beyond BigQuery: Dataflow, Data Fusion, Dataplex, Vertex AI, Cloud Composer Exposure to AI/ML data enablement and data ontology design for AI use cases ...

engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. Key Responsibilities Embed directly with client engineering and business teams to deploy, scale, and operationalize AI … milestones Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration Translate technical architecture into business impact for Basic Qualifications ...