14 of 14 Digital & IT Jobs

SKILLS AI Engineer, Agentic AI, Generative AI, LLM, Large Language Models, Python, SQL, RAG, Prompt Engineering, Azure, APIs, AI Agents, LangChain, LangGraph, Claude, MCP, AI Automation ...

RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ...

routing, failover, and per-workload cost attribution • Agent orchestration and tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP) • Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps ...

agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. Why apply? This ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity This ...

controlled access to information. Experience building AI agents and agentic workflows, including task decomposition, orchestration, state management, tool integration through protocols such as MCP and human approval controls. Experience using AI-assisted development tools and coding agents as a core part of how you engineer, applying strong verification and taking ...

alerts Person Specification Bachelor Degree or minimum 3 years experience in a third line support role. Desirable: Professional certification Broadcom VMware Certified Professional MCP/MCSA/MCSE/RHCSA ITIL Foundation certificate Work Experience, Skills and Knowledge: Good organisational and communication skills. Communicate effectively at different levels working collaboratively ...

related subject or equivalent experience GCSE English and Maths (grade A-C, or 4 and above) Desirable ITIL Foundation MSCE MCP Knowledge and Experience Essential Knowledge of IT Hardware such as PCs, tablets and printers An excellent understanding of Microsoft Operating systems and applications Computer literate: Microsoft Office ...

full Enterprise AI stack: HANA Cloud graph and vector store sizing, CAP service layer design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway. Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate … complete deployment lifecycle — from subaccount provisioning and ingestion pipeline build through to client handover and production go-live. Direct experience with Claude Code, MCP-based tool integrations, or equivalent agentic AI frameworks in a controlled enterprise environment, including connector setup, security approval, and end-to-end testing. Experience with ...